[ { "id": 28841, "name": "Baud", "slug": "baud", "former_names": [ "Neuralyze", "Cerelyze", "Zener", "Front", "Zener", "SuperCraft", "Ponder", "SuperCraft", "Baud Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ea89d0878c367c79b3a58c19eb1323a648e3f38.png", "website": "https://baudlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Novel AI hardware and developer platform, built from first principles to let companies train, fine-tune, and deploy frontier models with orders of magnitude better performance than incumbents", "one_liner": "AI chips for ultra-fast model training and inference", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1688534176, "tags": [ "Artificial Intelligence", "Hard Tech", "Hardware" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/baud", "api": "https://yc-oss.github.io/api/batches/summer-2026/baud.json" }, { "id": 30653, "name": "Async", "slug": "withasync", "former_names": [ "Skope" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c746a958222a919c90dfff3a0cd3a949fa81bcc.png", "website": "https://withasync.com", "all_locations": "New York City, NY, USA", "long_description": "Async partners with small businesses across law, healthcare and real estate to build and deploy custom agents. We audit existing processes, rework them to become agent-first, deploy custom agents to automate the process and up-skill employees on AI. ", "one_liner": "AI Agents for Small Businesses", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1750879126, "tags": [ "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/withasync", "api": "https://yc-oss.github.io/api/batches/summer-2026/withasync.json" }, { "id": 30728, "name": "OS3", "slug": "os3", "former_names": [ "Observee" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd88161755dbb4d7513a2dc91e69b26930313524.png", "website": "https://os3robotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Semi-humanoid robots that do real physical labor. Building hardware and training models, each driving the other. Already deploying in hospitality.", "one_liner": "Intelligence and Machines for Physical Labor", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1753297896, "tags": [ "Artificial Intelligence", "Hardware", "Robotics", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/os3", "api": "https://yc-oss.github.io/api/batches/summer-2026/os3.json" }, { "id": 31074, "name": "TrustAI", "slug": "trustai", "former_names": [ "EvalAI", "TrustAI Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/882660c8a18b052eaabe5a10460a291038b111a7.png", "website": "https://auto.trytrust.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "TrustAI understands your context across the browser (CRMs, internal tools, Slack, GitHub) and suggests personalized automations you can run in one click. Accept, tweak, or ignore, then keep working while we handle the busywork in the background. ", "one_liner": "Suggested cross-tool automations that run in one-click in background", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1783378352, "tags": [ "Artificial Intelligence", "B2B", "Workflow Automation", "Productivity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/trustai", "api": "https://yc-oss.github.io/api/batches/summer-2026/trustai.json" }, { "id": 31086, "name": "Prescience, Inc.", "slug": "prescience-inc", "former_names": [ "HouseAI", "Prescience" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9318ef0555c0ad2e5ce6049908b655658d073f1f.png", "website": "https://www.getprescience.com/", "all_locations": "Boston, MA, USA", "long_description": "Prescience is the preeminent health benefits platform for the world's most ambitious companies. We save employers 20-50% on healthcare while offering best-in-industry health benefits: www.getprescience.com\r\n\r\nAbout us:\r\nPrescience is building a new healthcare system for America. We train AI systems to: create, operate, insure, and deliver healthcare for employer health plans. Prescience Time Machine – an AlphaGo-like system – steers patients towards “Move 37 health trajectories” that deliver dramatic cost savings for employers. Rishab Jain and Aditya Jain, M.D. are serial entrepreneurs and brothers from Harvard & Harvard Medical School with backgrounds in machine learning and medicine. We believe abundant intelligence will bring an opportunity to fundamentally rebuild the $4.5T healthcare industry around proactive (prescient) health and wellness.", "one_liner": "Healthcare for the age of abundant intelligence.", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1780947683, "tags": [ "Health Insurance", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/prescience-inc", "api": "https://yc-oss.github.io/api/batches/summer-2026/prescience-inc.json" }, { "id": 31184, "name": "Assemble", "slug": "assemble", "former_names": [ "Serin", "Standard Interaction" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fdaeafd72d237eaf328842585365c3b7ce49cb7c.png", "website": "https://www.assemble.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Assemble accelerates IT teams by performing development work inside core enterprise systems like ERP, CRM, and HRIS. Our agents help IT teams scope dependencies, build logic, and validate changes across your systems.", "one_liner": "Agents for Enterprise IT", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783894724, "tags": [ "SaaS", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/assemble", "api": "https://yc-oss.github.io/api/batches/summer-2026/assemble.json" }, { "id": 31216, "name": "Archal", "slug": "archal", "former_names": [ "Archal Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d5457b412312bd26ecc72ccead99d16248cd087a.png", "website": "https://www.archal.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Modern AI agents can send emails, change code repos, and talk with external APIs. Archal verifies your agent takes the right actions, and opens a fix PR when it doesn't.", "one_liner": "The improvement loop for AI agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1776709029, "tags": [ "Artificial Intelligence", "Developer Tools", "API", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/archal", "api": "https://yc-oss.github.io/api/batches/summer-2026/archal.json" }, { "id": 31226, "name": "Libra Robotics", "slug": "libra-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38569e8c7f99407654cda03fc6daff633822e414.png", "website": "https://www.librabots.com/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Autonomous robots for solar farm construction", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1783647531, "tags": [ "Robotic Process Automation", "Solar Power", "Sustainability" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/libra-robotics", "api": "https://yc-oss.github.io/api/batches/summer-2026/libra-robotics.json" }, { "id": 31234, "name": "Ekpa", "slug": "ekpa", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e4cd183ffca48da0b8c0ac22b9a4a380bdecc65.png", "website": "https://goekpa.com/", "all_locations": "Boston, MA, USA", "long_description": "", "one_liner": "Building Autonomous Research Agents for Trading", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1783109218, "tags": [ "Consumer Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/ekpa", "api": "https://yc-oss.github.io/api/batches/summer-2026/ekpa.json" }, { "id": 31259, "name": "Tsenta", "slug": "tsenta", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5670afa2f39d71d15be15ed4c56ae5e0a65dbea4.png", "website": "https://tsenta.com", "all_locations": "San Francisco, CA, USA", "long_description": "Tsenta matches you with jobs, optimizes your profile & applies on your behalf. We have:\r\n➙ a web app ➙ an imessage bot ➙ an MCP ➙ a chrome extension, giving you control over every application being submitted.\r\n\r\nWe built Tsenta after applying to over 3,000 jobs manually, so that nobody else would have to.\r\n\r\nCheck us out at https://tsenta.com :)", "one_liner": "We match you with jobs and apply automatically", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Job and Career Services", "launched_at": 1769729252, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Consumer", "Job and Career Services" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/tsenta", "api": "https://yc-oss.github.io/api/batches/summer-2026/tsenta.json" }, { "id": 31261, "name": "Control Seat", "slug": "control-seat", "former_names": [ "C42" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9fbf6b23216653c383d7f0caea2def1b673a3a5.png", "website": "https://www.controlseat.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Control and Monitoring of Industrial Operations", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1777448165, "tags": [ "Workflow Automation", "Monitoring", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/control-seat", "api": "https://yc-oss.github.io/api/batches/summer-2026/control-seat.json" }, { "id": 31268, "name": "Cova", "slug": "cova", "former_names": [ "Omnition" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a88cf729487706988d23e57fa307a54ba446b835.png", "website": "https://cova.care/", "all_locations": "Detroit, MI, USA", "long_description": "Cova is an AI-native home care agency, licensed in Michigan. We serve Medicaid, LTCI, and private-pay patients; we pay caregivers the highest base rate in the state; and we help unpaid family caregivers get paid through programs they didn't know they qualified for. Our entire operation runs on AI agents, which means less overhead and more value passed directly to the people doing the real work.", "one_liner": "AI-Native Home Care Agency", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1782162197, "tags": [ "Artificial Intelligence", "Consumer Health Services", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cova", "api": "https://yc-oss.github.io/api/batches/summer-2026/cova.json" }, { "id": 31272, "name": "Poth Labs", "slug": "poth-labs", "former_names": [ "Poth" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee08f2b3965c952b7b91fda669eab1aace70f2b1.png", "website": "https://pothlabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Poth is an agentic research platform that connects to your company data, creates hypotheses about what might be causing problems, and validates them using both existing data and adaptive user feedback.", "one_liner": "Helping companies understand why users behave the way they do", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782326273, "tags": [ "Artificial Intelligence", "SaaS", "B2B", "Workflow Automation", "Market Research" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/poth-labs", "api": "https://yc-oss.github.io/api/batches/summer-2026/poth-labs.json" }, { "id": 31304, "name": "Litmus", "slug": "litmus-hiring", "former_names": [ "Avert", "Litmus", "Avert" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e62b680ea89cfd7e8d3a4f0cf83c2934f57a0f3a.png", "website": "https://litmushiring.com/", "all_locations": "New York City, NY, USA", "long_description": "Litmus is the most accurate read on how an engineer actually builds. We evaluate candidates through async technical assessments built from your own tech context (repos, tickets, and job descriptions), generated from scratch and scoped as real end-to-end features. Candidates work in their own setup with all their tools including AI, while we track and evaluate their process and output. Every submission runs in a sandbox, and grading is tuned to your company across tool fluency, process, and outcome. You get a real read on how someone actually builds, not just how they interview.", "one_liner": "Run an async work trial on every engineer you interview.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1783537104, "tags": [ "Recruiting", "Talent Acquisition" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/litmus-hiring", "api": "https://yc-oss.github.io/api/batches/summer-2026/litmus-hiring.json" }, { "id": 31341, "name": "Instance", "slug": "instance", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6294b12382598c88510ebe8d73568321732a7d00.png", "website": "https://www.instancelabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re automating robot evaluation– the loop where you wait for your robot to roll out, judge its success, and then reset the scene. We're starting with step one: a success detector that automatically tells you whether your robot actually completed its task along with detailed subtask breakdown. \r\n\r\nWe're MIT computer scientists & friends since middle school, with backgrounds at NASA JPL, SpaceX, and AWS.\r\n\r\nBook a demo with founders@instancelabs.ai.", "one_liner": "Automated evals for robot policies", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782761102, "tags": [ "Artificial Intelligence", "Robotics", "Data Labeling" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/instance", "api": "https://yc-oss.github.io/api/batches/summer-2026/instance.json" }, { "id": 31342, "name": "Osmaura", "slug": "osmaura", "former_names": [ "Basis Labs", "Basis", "Osmaura", "justreheat", "JustReheat", "vizlog", "Halcyon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8f5bfc033ae31d6282044fe4ce792725cc090a1.png", "website": "https://osmaura.com", "all_locations": "San Francisco, CA, USA", "long_description": "As soon as a lawyer is made partner, they’re expected to bring in new business.\r\n\r\nHowever, it’s often not clear when a company is going to need legal counsel. So partners are encouraged to do business development with every person in their network in hopes that at least one of them generates new work.\r\n\r\nOsmaura gives partners a deeper understanding of prospective clients and legal support they might need at the right time.\r\n\r\nOur agents do this by monitoring the web, news, socials, and internal firm context to surface targeted matter opportunities for each partner.", "one_liner": "We find new matter opportunities for corporate law firms.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1781994700, "tags": [ "Sales Enablement", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/osmaura", "api": "https://yc-oss.github.io/api/batches/summer-2026/osmaura.json" }, { "id": 31349, "name": "Palette", "slug": "palette-2", "former_names": [ "Iris Prism" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4b357efedd6b75b24594234b97cea3bade805e0.png", "website": "https://palettetechnology.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Palette is an interactive multimodal generation platform that helps people create, personalize, and maintain multimedia content at scale. Instead of relying on fragmented creative tools or manual production workflows, Palette enables them to generate, edit, and transform text, images, and video using natural language. Whether creating customer experiences, product content, educational materials, or internal communications, Palette makes professional-quality media generation accessible through a single interface.", "one_liner": "An interactive AI video generation and editing platform", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783722381, "tags": [ "Generative AI", "Video", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/palette-2", "api": "https://yc-oss.github.io/api/batches/summer-2026/palette-2.json" }, { "id": 31437, "name": "Sidekick", "slug": "textsidekick", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/70f52c907fab24ab4f95aa200a11907c5bc3896f.png", "website": "https://www.textsidekick.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Sidekick is an AI-powered SMS assistant for frontline workers in manufacturing, auto dealerships, and retail. The idea came from Justin's father, who owns a manufacturing facility and asked him to build a tool to help with worker onboarding, training, and organizing company knowledge. Workers text questions in any language and get instant answers from their company's documents — no app, no login, works on any phone. They can send photos of equipment for instant identification or voice memos when their hands are dirty or they're wearing gloves. Managers upload documents and record video walkthroughs; Sidekick automatically generates step-by-step tutorials and a searchable knowledge base. When Sidekick can't answer, it escalates to the manager via SMS and learns from the response, getting smarter with every interaction.", "one_liner": "AI-powered SMS assistant for deskless workers.", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1775584801, "tags": [ "SaaS", "B2B", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/textsidekick", "api": "https://yc-oss.github.io/api/batches/summer-2026/textsidekick.json" }, { "id": 31476, "name": "Shepherd", "slug": "shepherd-3", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/391f78e0202565767f4e07ba30c7abaf3cd19093.png", "website": "https://askshepherd.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Shepherd automatically ingests every tool your team uses into one unified memory you can index, and your agents can act on.", "one_liner": "Give your company the knowledge it deserves", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782183998, "tags": [ "Enterprise", "Search", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/shepherd-3", "api": "https://yc-oss.github.io/api/batches/summer-2026/shepherd-3.json" }, { "id": 31532, "name": "Atlas Discovery", "slug": "atlas-discovery", "former_names": [ "Rhizome Bio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e6c174c3a8e56844bf81efbc8b8532b4e509f73.png", "website": "https://atlasdiscovery.bio", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Discovering the atlas of disease biology using virtual cells.", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1782247231, "tags": [ "AI-powered Drug Discovery", "Drug discovery", "Biotechnology" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/atlas-discovery", "api": "https://yc-oss.github.io/api/batches/summer-2026/atlas-discovery.json" }, { "id": 31570, "name": "Rindler", "slug": "rindler", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba85eb3919f954ce9bf661f9b9ee195327c93ceb.png", "website": "https://rindler.ai", "all_locations": "Boston, MA, USA", "long_description": "Rindler turns any website, including sites without APIs, into a deterministic API that AI agents can reliably use. It handles logins, 2FA, and bot detection, giving agents clean structured data and dependable actions instead of raw HTML, with robust maintenance when sites change.\r\n\r\nRindler is agent-agnostic and built on the open MCP standard, so it works with any agent.\r\n\r\nFor operators: get your team out of portals and back to the work that matters.\r\n\r\nFor agent builders: let your agents act on the real web quickly, cheaply, and reliably on every run.", "one_liner": "The translation layer between AI agents and the web", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1783408799, "tags": [ "B2B", "Workflow Automation", "Infrastructure", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rindler", "api": "https://yc-oss.github.io/api/batches/summer-2026/rindler.json" }, { "id": 31858, "name": "Torus", "slug": "torus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a2f7b5a083998db3fcc9309c0435a2ccb05016.png", "website": "https://www.usetorus.com", "all_locations": "San Francisco, CA, USA", "long_description": "Torus lets engineering firms and project owners build infrastructure 10x faster to reindustrialize America and the West. \r\n\r\nWe're working with multiple Fortune 500 companies to build critical infrastructure including data centers and critical energy installations. ", "one_liner": "Legora for physical engineering firms", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1783552199, "tags": [ "Construction", "Energy", "Enterprise Software", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/torus", "api": "https://yc-oss.github.io/api/batches/summer-2026/torus.json" }, { "id": 31989, "name": "Pango", "slug": "pango", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b9308af1455bcde8e9b13e4cbe45eb13d33d384.png", "website": "https://pango.ai/", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Autonomous digital employee that runs back-office operations for e-commerce companies: deliveries, tracking, returns, transport and CS.", "one_liner": "Agentic OS for e-commerce operations", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1781764394, "tags": [ "Logistics", "E-commerce", "Retail", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "Sweden", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/pango", "api": "https://yc-oss.github.io/api/batches/summer-2026/pango.json" }, { "id": 32089, "name": "Hoplite", "slug": "hoplite", "former_names": [ "Carbon Copy", "Carboncopy", "Blueprints" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/087c3f8fd341b06cc103d1bfc1f15c78f2464f4a.png", "website": "https://hoplite.sh", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Effortlessly deploy cloud software factories.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1782199103, "tags": [ "Artificial Intelligence", "Developer Tools", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hoplite", "api": "https://yc-oss.github.io/api/batches/summer-2026/hoplite.json" }, { "id": 32121, "name": "OpenTrade", "slug": "opentrade", "former_names": [ "Moonshot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b3f64adc26505359934c58cacea3f1c48facac8.png", "website": "https://opentrade.live/", "all_locations": "Seattle, WA, USA", "long_description": "OpenTrade helps everyday investors trade at a hedge-fund level. We're experimenting with a new UX on investing: every morning, you swipe on 10 theses brought to you by proactive agents", "one_liner": "Investing for the rest of us", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1783572660, "tags": [ "Consumer Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/opentrade", "api": "https://yc-oss.github.io/api/batches/summer-2026/opentrade.json" }, { "id": 32127, "name": "Notyfi", "slug": "notyfi", "former_names": [ "Perceptron ML" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39ef9d285402475a966cd1a646ae8e3b72115c89.png", "website": "https://notyfi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Notyfi tracks anything you want, anywhere it happens. Tell us in plain English what matters, new lawsuits, layoffs, price drops, listings, RFPs, breaking news, and we watch the news, filings, databases, and the open web for it. You get notified instantly, hourly, daily, or weekly, by email, on a live dashboard, or directly into your agents and workflows through our API and MCP.", "one_liner": "Live alerts for anything happening in the world.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782500527, "tags": [ "Artificial Intelligence", "B2B", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/notyfi", "api": "https://yc-oss.github.io/api/batches/summer-2026/notyfi.json" }, { "id": 32134, "name": "Parasma", "slug": "parasma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65a63b540239ee3a5538326d626bcceee19f52d9.png", "website": "https://parasma.com", "all_locations": "San Francisco, CA, USA", "long_description": "We write the algorithms to turn brain cells into compute.", "one_liner": "Training human brain cells for AI compute", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782285260, "tags": [ "Machine Learning", "Neurotechnology", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/parasma", "api": "https://yc-oss.github.io/api/batches/summer-2026/parasma.json" }, { "id": 32135, "name": "Trope", "slug": "trope", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1241956aa50c817e1c2feee9934ea253b0d12c38.png", "website": "https://trope.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Trope is the AI-native ERP implementation platform that helps partners deliver successful projects faster.\r\n\r\nTrope understands the entire project lifecycle from pre-sales to go-live and beyond. Agents take action across documents, configurations, and code.\r\n\r\nFor implementation partners, it’s like having a project manager, consultant, and developer working 24/7.", "one_liner": "Modernize ERP Implementations with AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783447220, "tags": [ "Artificial Intelligence", "SaaS", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/trope", "api": "https://yc-oss.github.io/api/batches/summer-2026/trope.json" }, { "id": 32138, "name": "Nebula Security", "slug": "nebula-security", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/33d955b678b21d1907f01bee006dfaf515655e98.png", "website": "https://nebusec.ai", "all_locations": "Vancouver, WA, USA; Remote", "long_description": "Nebula Security is an AI-native cybersecurity company founded by world-class hackers.\r\n\r\nNebula Security provides Mythos-level cybersecurity reviews and product security auditing, conducted by our state-of-the-art AI agent and world-class hackers themselves, covering everything from code-level vulnerabilities to architectural weak points.\r\n\r\nWe were the first team to build an nginx RCE and the first to root Android 17. Our co-founders include members of the world’s No. 1 CTF team, DEF CON winners, Black Hat speakers, and PhD in cybersecurity. We have won $400K in bug bounties by exploiting the Linux kernel and Chrome browser.\r\n\r\n“Audited by Nebula Security” is a mark of serious security credibility: a signal to customers, investors, and partners that your product has been reviewed by the world’s best hackers.", "one_liner": "Our AI agent finds vulnerabilities that Mythos can't", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1783007241, "tags": [ "Artificial Intelligence", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/nebula-security", "api": "https://yc-oss.github.io/api/batches/summer-2026/nebula-security.json" }, { "id": 32154, "name": "Zomma", "slug": "zomma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/019855257e473ab4938156b12e16e4a3214a2f51.png", "website": "https://zommalabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Zomma builds Computer Use Agents that do the repetitive screen work in finance: logging into portals, pulling reports, reconciling books, and filling forms across systems that will never get an API. Our agents use the same screens your ops team uses today, so there is no integration project. Every action stops for human approval before anything submits. Hedge funds, asset managers, and fintech firms use Zomma for reconciliation, client onboarding, KYC, and investor reporting: the work that was never automatable until now.", "one_liner": "Computer Use Agents for back offices in finance", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783572526, "tags": [ "Artificial Intelligence", "Robotic Process Automation", "Finance", "B2B", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/zomma", "api": "https://yc-oss.github.io/api/batches/summer-2026/zomma.json" }, { "id": 32155, "name": "Rex", "slug": "rex-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b14c16514ac7654483b96e54e1bf49a45714e8f6.png", "website": "https://www.rex.inc", "all_locations": "London, England, United Kingdom", "long_description": "Rex is an AI-native service for order to cash. We replace people-heavy operations with AI agents that continuously manage invoices, customers and exceptions.\r\n\r\nOrder to cash is a $60B outsourced function because the work is too messy for traditional automation. Every customer has different context, exceptions do not follow clean rules, and the next step is often buried in emails, portals, handoffs, or someone’s memory. Rex agents run continuously in the background and resolve work to SLA standards so cash keeps moving. We're live with pre-IPO tech companies, managing >$500m in receivables from F100 companies, cutting manual follow-up cycles from weeks to hours.\r\n\r\nWe founded Rex after spending four years building Sequence, an a16z-backed finance ops platform, from zero to Series A — where we saw firsthand that at-scale, O2C still runs on manual labour.\r\n\r\nRex is the #1 winner of the Vercel AI Accelerator out of 2,500 teams, selected by Guillermo Rauch and leaders from OpenAI, Anthropic, Browserbase and more.", "one_liner": "AI Operations Partner for Enterprise Order to Cash", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1779903831, "tags": [ "Artificial Intelligence", "B2B", "Enterprise", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rex-inc", "api": "https://yc-oss.github.io/api/batches/summer-2026/rex-inc.json" }, { "id": 32164, "name": "Prized", "slug": "prized", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png", "website": "https://prized.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.", "one_liner": "Lovable for internal tools", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1782800618, "tags": [ "Developer Tools", "SaaS", "Productivity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/prized", "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json" }, { "id": 32167, "name": "Understudy Labs", "slug": "understudy-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/034b1bab6d92bd99439aee47bf2312630046798c.png", "website": "https://understudylabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "An open-source toolkit to capture traces, evaluate cheaper models against benchmarks, and ship specialist routes you own.\r\n\r\nCapture traces from LLM production workflows with a single install that deploys within coding agents you already use. Hosted infrastructure is optional.\r\n\r\nEvaluate the captured traces and set a benchmark for success. Every future model switch meets or exceeds it in A/B testing.\r\n\r\nTrain and fine-tune a new model on prompts and weights you always own. Start locally and scale into cloud-hosted processes as you see success.\r\n\r\nDeploy a new model only when the held-out eval is beaten. Serve it wherever you want. Production data feeds back into training and compounds performance over time.\r\n\r\nTest. Learn. Deploy. Repeat.", "one_liner": "Effortlessly move to open weight models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1783740567, "tags": [ "Artificial Intelligence", "Open Source", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/understudy-labs", "api": "https://yc-oss.github.io/api/batches/summer-2026/understudy-labs.json" }, { "id": 32169, "name": "Speko", "slug": "speko", "former_names": [ "Speko Group, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55b8df2a769dbcfc902b7c071a8bc334a7eb10dd.png", "website": "https://speko.ai/?utm_source=ycombinator&utm_medium=profile", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "OpenRouter for voice AI", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1783393099, "tags": [ "Developer Tools", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/speko", "api": "https://yc-oss.github.io/api/batches/summer-2026/speko.json" }, { "id": 32171, "name": "LemonLime", "slug": "lemonlime", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ffbde2e695962be35fad4bb6260c320a8d18271.png", "website": "https://www.lemonlime.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "LemonLime enables any business to deploy custom AI automations in minutes. \r\n\r\nIt connects to your existing tools to pull information across sources, studies your business, and instantly creates specialized agents designed to support your team across departments.\r\n\r\nDon't know where to start? LemonLime automatically surfaces suggested automations that can be implemented with a single click.", "one_liner": "No-code AI that learns your business and self-creates automations.", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783367890, "tags": [ "SaaS", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lemonlime", "api": "https://yc-oss.github.io/api/batches/summer-2026/lemonlime.json" }, { "id": 32187, "name": "Insurf", "slug": "insurf", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/203aaca34875f8d2fd195e6c042414266aefc1ca.png", "website": "https://www.insurf.io", "all_locations": "San Francisco, CA, USA", "long_description": "Insurf is the AI-native data and decision layer for health insurance. Our first product, Inveto, automatically turns denied healthcare claims into source-cited, physician-attested appeals, recovering revenue practices lose today. Every claim it resolves builds the coverage-decision graph, the proprietary dataset of real payer behavior that powers our next product, Surely, which prices the true cost of a health plan for employers and brokers.", "one_liner": "The AI-Native Decision Infrastructure for Health Insurance", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1782286226, "tags": [ "Artificial Intelligence", "Health Tech", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/insurf", "api": "https://yc-oss.github.io/api/batches/summer-2026/insurf.json" }, { "id": 32189, "name": "Verdant", "slug": "verdant", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4de79d62c0767417bcc285f4339875d51c92131b.png", "website": "https://www.verdantapp.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Verdant is building the AI infrastructure for local government, and we’re starting with AI-native end-to-end permitting software that dramatically cuts local government permit review time. \r\n\r\nWe help applicants file complete, compliant applications upfront, then help staff review them - our AI reads documents, plans, and diagrams, then flags issues and drafts the final report. Staff just sign off.\r\n\r\nPandemic-era incumbent contracts are churning because staff are stuck with legacy systems that only intake and track permits – no automation involved. Our end-to-end solution picks up where those systems stop, automating the review itself to fix permitting where it's most broken.", "one_liner": "AI-native land-use permit management for local gov", "team_size": 2, "industry": "Government", "subindustry": "Government", "launched_at": 1782774541, "tags": [ "GovTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Government" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/verdant", "api": "https://yc-oss.github.io/api/batches/summer-2026/verdant.json" }, { "id": 32192, "name": "Rise Reforming", "slug": "rise-reforming", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b908857ac82ef0d2a3b793f89fa198298587f8a.png", "website": "https://rise-reforming.com/home", "all_locations": "Chicago, IL, USA", "long_description": "Geopolitical conflicts and natural disasters frequently expose the vulnerability of the American chemical industry. The reason? Production is centralized and fossil fuel-dependent. The solution? Localized production using an undervalued resource: biogas. The US produces enough biogas to make over $20 bn/y worth of chemicals, but 60% is wasted in low-margin applications or flared altogether.\r\n\r\nRise Reforming is commercializing a modular process to transform this underutilized biogas on-site into cheap, supply-secure chemicals. Our beachhead market is dimethyl ether (DME), used as an aerosol propellant and a low-carbon fuel additive in propane. Our target market is methanol: an established billion $ chemical and the future of low-carbon shipping.\r\n\r\nWe're doing our pilot project at a Chicagoland wastewater plant. This will be the first wastewater biogas-to-methanol demo in the Americas.\r\n\r\nWe're hiring for a senior chemical process engineer. Apply here: https://www.ycombinator.com/companies/rise-reforming/jobs/wJ9Q9nv-senior-chemical-process-engineer", "one_liner": "We turn waste gases into valuable supply-secure chemicals ", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1783464355, "tags": [ "Hard Tech", "Smart Waste Management", "Alternative Fuels", "Renewable Energy", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rise-reforming", "api": "https://yc-oss.github.io/api/batches/summer-2026/rise-reforming.json" }, { "id": 32193, "name": "Floracene", "slug": "floracene", "former_names": [ "TareRx" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c309f42cb161ba287e4c1f2d4a89dc2a2ab1e03b.png", "website": "https://www.floracene.com/", "all_locations": "New York City, NY, USA", "long_description": "Floracene shows independent surgery centers the best-priced equivalent implant for every procedure based on their manufacturer contracts. \r\n\r\nEvery orthopedic surgeon we've talked to says the same thing: 90%+ of expensive implants they use are clinically interchangeable, but the choice comes down to habit, brand comfort, or the device rep. US surgery centers spend ~$7B a year on implants, and in orthopedic and spine cases the implant alone runs ~40-60% of the total cost of the procedure. Roughly ~20-30% of that spend is recoverable by switching to a clinically-equivalent device. Instead of defaulting to the implant they trained on, a surgeon sees the 3+ equivalent options side by side and switches to the one that protects the case's margin.\r\n\r\nAsaph and Jonah met on the hospitals team at Palantir two years ago, and have each spent the last four years in the plumbing of US healthcare: claims, eligibility, and payor contracting. Asaph was an early PM at Garner. Jonah was a founding engineer at Metriport (YC S22) after starting his own fax-automation startup for fertility clinics.\r\n\r\nAt a big hospital the surgeon picks the implant but isn't spending their own money, so price doesn't impact the decision. At an independent surgery center the physicians own the economics, so a cheaper equivalent goes straight to their bottom line. They have every incentive to switch. They just don't have the information or the tooling.", "one_liner": "Optimized medical device purchasing for independent providers", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1783448694, "tags": [ "Health Tech", "Medical Devices", "Digital Health", "Procurement", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/floracene", "api": "https://yc-oss.github.io/api/batches/summer-2026/floracene.json" }, { "id": 32194, "name": "GUILD", "slug": "guild", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/efd3ccc04f842f9a3a1235ba1ef66aa4447fc993.png", "website": "https://www.guildai.co", "all_locations": "New York City, NY, USA", "long_description": "GUILD is an AI-native defense contractor making aerospace parts faster and cheaper than today’s supply chain. We win government contracts, turn technical requirements into production-ready workflows, and execute through factory integrations from RFQ to delivery.\r\n\r\nWe’ve built an AI-native operating model for defense contracting: a company brain that connects requirements, pricing, supplier capability, compliance, manufacturing, finance, and delivery so each contract makes the next one faster and cheaper.", "one_liner": "AI-Native Defense Contractor Reshaping the Defense Supply Chain", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1778869862, "tags": [ "Artificial Intelligence", "Compliance", "Manufacturing", "Supply Chain", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/guild", "api": "https://yc-oss.github.io/api/batches/summer-2026/guild.json" }, { "id": 32195, "name": "RealPact", "slug": "realpact", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0066aaeaa91920faf3f4b4ee35ce9e7c2bc99740.png", "website": "https://realpact.ai", "all_locations": "San Francisco, CA, USA", "long_description": "RealPact builds AI agents that handle the paperwork behind real estate transactions. They find property records like deeds, tax records, permits, parcel data, and MLS information, then use that data to fill out contracts, organize documents, track deadlines, and help brokerages close deals faster.\r\n\r\nWe are starting by automating transactions and will expand into other parts of brokerage operations. Much of the software used across the real estate industry is outdated. With today’s advances in AI, we can build agents that handle this operational work and create modern software around how brokerages actually work.\r\n\r\nWe currently sell to brokerages in New Hampshire and are expanding quickly.", "one_liner": "AI-native OS for Real Estate Brokerages", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1780455733, "tags": [ "Artificial Intelligence", "Real Estate", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/realpact", "api": "https://yc-oss.github.io/api/batches/summer-2026/realpact.json" }, { "id": 32202, "name": "Dialogus", "slug": "dialogus", "former_names": [ "Zyra", "Dialogus", "Dialogus Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7df204d91879e8e730b8993b754b3d35b87106e.png", "website": "https://www.dialoguslabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Dialogus builds voice agent infrastructure for enterprises.\r\n\r\nMost companies can demo an AI voice agent, but getting one into production is hard. Enterprise agents need to connect to phone systems, internal tools, databases, CRMs, messaging channels, human escalation flows, monitoring, and compliance processes.\r\n\r\nDialogus provides the infrastructure to deploy production-grade voice agents that don’t just talk but complete real workflows. Our platform lets enterprises launch agents that collect information, validate it against internal systems, update records, send follow-up messages, and escalate edge cases to humans.", "one_liner": "Infra for enterprise voice agents.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782528923, "tags": [ "B2B", "Customer Support" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/dialogus", "api": "https://yc-oss.github.io/api/batches/summer-2026/dialogus.json" }, { "id": 32204, "name": "Alloovium", "slug": "alloovium", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a18b2e1de19ebc106cb340305f6e055da094e03b.png", "website": "https://www.alloovium.com/en", "all_locations": "Brisbane, QLD, Australia", "long_description": "Alloovium is the document intelligence layer for construction 🏗️ It reads every document and piece of data on a project (contracts, specs, drawings, compliance records, conversations), turning them into answers you can trust and actions with real value: every answer cites its exact source sentence, paperwork is checked clause by clause against the builder's own Integrated Management System, and nothing AI-drafted moves without a human sign-off, with it all compliant by default.", "one_liner": "Construction paperwork that finally works for your team", "team_size": 5, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1783581007, "tags": [ "Artificial Intelligence", "Construction" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "Australia", "Oceania" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/alloovium", "api": "https://yc-oss.github.io/api/batches/summer-2026/alloovium.json" }, { "id": 32223, "name": "Truffle", "slug": "truffle", "former_names": [ "Remy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2506c5899c2529c2d5cc182e3a242e11f99aa02.png", "website": "https://usetruffle.ai/", "all_locations": "New York City, NY, USA", "long_description": "Truffle is the first AI-native operating system for the hospitality back-of-house. Restaurants, cafes and bars still run on a patchwork of disconnected point solutions, spreadsheets, clipboards and tribal knowledge, which costs the industry billions each year in stockouts, food waste, and lost profit. Truffle replaces that entire stack with one system. Computer vision and voice AI capture real-time inventory levels 90% faster than manual counts, ML models forecast item-level demand at 97% accuracy, and AI agents run dozens of end-to-end workflows autonomously, from procurement and invoice reconciliation to scheduling, food prep, menu engineering, and more.", "one_liner": "The autonomous back-of-house for restaurants.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782079217, "tags": [ "SaaS", "Restaurant Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/truffle", "api": "https://yc-oss.github.io/api/batches/summer-2026/truffle.json" }, { "id": 32226, "name": "Glen", "slug": "glen", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc11fde647ded2f52bca6ff53c7ad045f290e1ee.png", "website": "https://www.tryglen.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Glen is unified context for every agent and human on your team. Most MCP tools hand an agent a slice, one Slack thread, a single diff, and leave it to stitch the rest together itself. Glen reads from where your work already lives, code and PRs, issues, docs, and meetings, reconciles it, and gives your agents the full picture instead.\r\n\r\nWith Glen a coding agent knows why a line was written, not just what it says. Ask a PR assistant anything about a change and the clarifying-question relay disappears. Bug bots read the intent behind the code before they comment, so they stop flagging deliberate choices as defects and stop repeating mistakes they already made. A sales agent can coach your head of sales off the full account history, how teammates handle similar calls, what was promised, where the deal stalled, etc. \r\n\r\nAs the work gets done, Glen also distills it into skills and offers them back to the next agent, or person, who hits the same task.", "one_liner": "Unified organizational context for agents and humans", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1781114514, "tags": [ "Artificial Intelligence", "Generative AI", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/glen", "api": "https://yc-oss.github.io/api/batches/summer-2026/glen.json" }, { "id": 32227, "name": "Context.dev", "slug": "contextdev", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe20b06c889ed9f1a1b7d9b0ecf522c8e057d68b.png", "website": "https://context.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Context.dev gives AI agents structured data from any website through a single API.\r\n\r\nWe help developers build smarter agents & products that depend on accurate, fresh web data.\r\n\r\nIf you need structured data from the internet, you need Context.dev\r\n\r\nProud to power agentic products at Mintlify, Super, Vizzy, Klarna, and 280 other companies. ", "one_liner": "We give AI agents realtime web context.", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1780323126, "tags": [ "Artificial Intelligence", "B2B", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/contextdev", "api": "https://yc-oss.github.io/api/batches/summer-2026/contextdev.json" }, { "id": 32230, "name": "Codag", "slug": "codag", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a9882f0ac224b2b32ff0636a2c28986acf45c0d.png", "website": "https://codag.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Log compression for agents.", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1779593681, "tags": [ "Developer Tools" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/codag", "api": "https://yc-oss.github.io/api/batches/summer-2026/codag.json" }, { "id": 32253, "name": "Touchmark", "slug": "touchmark", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fac4fb7e32c7424e6eea88690415f386be2f5832.png", "website": "https://touchmark.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Solving AI pricing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1781312801, "tags": [ "Artificial Intelligence", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/touchmark", "api": "https://yc-oss.github.io/api/batches/summer-2026/touchmark.json" }, { "id": 32259, "name": "screenpipe", "slug": "screenpipe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/144e7207ec725036f43cc9a6b577a8320151e103.png", "website": "https://screenpipe.com", "all_locations": "San Francisco, CA, USA", "long_description": "screenpipe record and learns how you work and turns it into a searchable memory, SOPs, and AI agents. Data is stored on your device or where your team choose, open source.", "one_liner": "Record how you work and turn that into agents", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1783386650, "tags": [ "SaaS", "B2B", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/screenpipe", "api": "https://yc-oss.github.io/api/batches/summer-2026/screenpipe.json" }, { "id": 32262, "name": "Alkera AI", "slug": "alkera-ai", "former_names": [ "Alkera AI, Inc.", "Alkera AI", "Alkera AI, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eecc1a49c35b3a26973c35ce53d1c3f862a058cb.png", "website": "https://alkera.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Alkera is a data engineering and data science agent that works in your IDE or CLI. If you’re tired of agents taking forever just to produce false, or even dangerous, reports about your data, then Alkera is for you. Our agent is equipped with your data’s history and lineage, your team’s knowledge, and tailored plugins for data apps such as Snowflake and dbt. Simply install and connect your services to begin doing trusted agentic data work. We also offer VPC & on-prem deployment options for when data can't leave your boundary.", "one_liner": "Data engineering and data science agents that are reliable and safe", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1783697969, "tags": [ "Developer Tools", "Data Science", "Data Engineering", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/alkera-ai", "api": "https://yc-oss.github.io/api/batches/summer-2026/alkera-ai.json" }, { "id": 32286, "name": "Definite", "slug": "definite", "former_names": [ "Ledgix", "Bylaw" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea163685b0ad74eaec6a19637a061cdb5e63acae.png", "website": "https://www.usedefinite.com", "all_locations": "San Francisco, CA, USA", "long_description": "Definite builds AI agents that generate the reports banks and financial institutions file with their regulators. Before any number lands in a filing, our verification engine checks it independently. Every line gets recomputed from ledger records and checked against a versioned rulebook, and wrong outputs go back to the agent with the reason, like compiler errors. They don't ship.\r\n\r\nWe met our first year studying computer science at the University of Waterloo, and interned at Meta, Optiver, and BitGo, places where one unverified number in a filing has real consequences. At BitGo, attestations proving customer assets matched the ledger were assembled by hand every period. At Optiver, daily regulatory numbers were rebuilt manually because nothing downstream took them on faith.\r\n\r\nToday a controller pulls data from the core system into Excel and maps it to the report line by line. By the regulators' own estimate, one quarterly filing takes weeks. The software banks buy for this validates formatting, not truth: a loan mapped to the wrong schedule line passes every check it runs, and an executive personally signs the result.\r\n\r\nThis is hard because verification has to be independent of the model doing the work. Recomputing every number from source records is the only check a regulator or auditor will accept, and it's why DeepSeek v3 with our engine beats GPT-5 on public reporting benchmarks.\r\n\r\nEvery regulated institution files these reports, forever. Whoever proves the numbers owns the layer the filings, the audits, and eventually the books themselves depend on. We build it, and the agents that run on it.", "one_liner": "The most accurate financial agents for reporting", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782681224, "tags": [ "Artificial Intelligence", "Fintech", "SaaS", "Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/definite", "api": "https://yc-oss.github.io/api/batches/summer-2026/definite.json" }, { "id": 32520, "name": "Cerenovus", "slug": "cerenovus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png", "website": "https://www.cerenovus.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.", "one_liner": "A knowledge company", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1780900630, "tags": [ "AIOps", "Artificial Intelligence", "B2B", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cerenovus", "api": "https://yc-oss.github.io/api/batches/summer-2026/cerenovus.json" }, { "id": 32521, "name": "Molagri", "slug": "molagri", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/71eba8e2b8b0a262e4c76ef41e5ab46b59552e6d.png", "website": "https://molagri.com", "all_locations": "Toronto, ON, Canada", "long_description": "Molagri develops safer, more effective pesticides for agriculture.\r\n\r\nWe design biopesticides that hit a precise molecular target unique to pest insects, knocking out pests while sparing pollinators, beneficial insects, and the wider ecosystem. By modeling how pests are likely to evolve, we stay a step ahead of resistance, keeping our products effective against the pests of today and tomorrow. The higher efficacy and biobased production will also contribute to emissions reductions in both manufacturing and field use.\r\n\r\nOur founders are PhD lab mates from the University of Toronto who have worked together for six years and published in Nature Communications and Nature Microbiology. \r\n", "one_liner": "Biopesticides that are safe for humans and bees.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1782770010, "tags": [ "Synthetic Biology", "Biotech", "Sustainability", "Climate", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/molagri", "api": "https://yc-oss.github.io/api/batches/summer-2026/molagri.json" }, { "id": 32525, "name": "FlowManual", "slug": "flowmanual", "former_names": [ "ProManual" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f6665f1300dc258526280c5fbb72df3fbac9eb1.png", "website": "https://flowmanual.com/", "all_locations": "San Francisco, CA, USA", "long_description": "FlowManual is the all-in-one AI bidding and purchasing platform for both general and specialty construction contractors.\r\n\r\nBuilt by two engineers and Harvard dropouts, FlowManual automates the buying process during pre-construction. With FlowManual, specialty contractors win more work while general contractors deliver at higher standards.", "one_liner": "AI for Construction's Back Office.", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1782366913, "tags": [ "SaaS", "Construction", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/flowmanual", "api": "https://yc-oss.github.io/api/batches/summer-2026/flowmanual.json" }, { "id": 32526, "name": "Pluto", "slug": "talentpluto", "former_names": [ "Talentpluto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ed12c5974a12759a4a83154066015d6c91fc4df.png", "website": "https://talentpluto.com", "all_locations": "New York City, NY, USA", "long_description": "Resumes made careers readable. LinkedIn made them searchable. Pluto makes them understood.\r\n\r\nProfessionals talk to Pluto for 10 minutes about what they’ve done, what they’re great at, and what they want next. Pluto makes that context discoverable to the right people and AI agents, helping them understand the professional more fully.\r\n\r\nFor hiring, companies tell Pluto who they want to meet. Pluto searches its network and the broader market, evaluates fit on both sides, privately confirms interest, and makes warm introductions when both sides want to connect.\r\n\r\n18K+ professionals have shared their career context with Pluto. 100+ companies, from fast-growing startups to decacorns, use Pluto to meet people with deeper context and confirmed interest.", "one_liner": "AI voice agent that helps professionals get discovered", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer -> Job and Career Services", "launched_at": 1782230867, "tags": [ "Artificial Intelligence", "Careers", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Consumer", "Job and Career Services" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/talentpluto", "api": "https://yc-oss.github.io/api/batches/summer-2026/talentpluto.json" }, { "id": 32527, "name": "machine0", "slug": "machine0", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c00ce2cbd95a0e0d81ff55b96ce241fb3462c28b.png", "website": "https://machine0.io", "all_locations": "San Francisco, CA, USA", "long_description": "machine0 is a CLI that lets you create, provision, and snapshot cloud VMs. `machine0 new my-vm` spins up a VM with dedicated CPU, RAM, and optional GPUs, plus a static IP and HTTPS endpoint. The tools agents need (e.g. Node, Python, Docker) and the agents themselves (e.g. Claude Code, Codex, OpenClaw, Hermes) come pre-installed. 99.99% VM uptime SLA across four regions.\r\n\r\nAgent workloads are moving from ephemeral to always-on. A coding agent debugging a complex issue runs 4-8 hours. OpenClaw runs 24/7. machine0 is the environment in which these agents run.", "one_liner": "Persistent & powerful cloud VMs from your CLI", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1780987913, "tags": [ "Developer Tools", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/machine0", "api": "https://yc-oss.github.io/api/batches/summer-2026/machine0.json" }, { "id": 32551, "name": "Bloomy", "slug": "bloomy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/209c1fdd9d657cb4fad05300bbb0faf304f4d29c.png", "website": "https://bloomylearning.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Bloomy helps students learn more efficiently by using AI to identify exactly what a student should learn and when they should learn it. We provide adaptive and personalized curriculum to K-12, starting with English Language Arts, Math, and Writing.", "one_liner": "AI-powered mastery learning for K-12", "team_size": 1, "industry": "Education", "subindustry": "Education", "launched_at": 1782182610, "tags": [ "AI-Enhanced Learning", "Artificial Intelligence", "Education", "eLearning", "Personalization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Education" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/bloomy", "api": "https://yc-oss.github.io/api/batches/summer-2026/bloomy.json" }, { "id": 32552, "name": "6thSense", "slug": "6thsense", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/24cb943ce2196a35afe2b7d03f61eab2d4ec937a.png", "website": "https://6thsense.dev", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "A nervous system for physical AI", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1782449364, "tags": [ "Robotics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/6thsense", "api": "https://yc-oss.github.io/api/batches/summer-2026/6thsense.json" }, { "id": 32553, "name": "Nori", "slug": "noril1", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a12ebb52fea22eaa5a71b4c86fdf6f10ee6ccd5b.png", "website": "http://norirobotics.com", "all_locations": "New York City, NY, USA", "long_description": "We manufacture humanoid robots in San Francisco. ", "one_liner": "Sub-1500$ robot anyone can program", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783099451, "tags": [ "Hard Tech", "Hardware", "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/noril1", "api": "https://yc-oss.github.io/api/batches/summer-2026/noril1.json" }, { "id": 32554, "name": "Ooak Data", "slug": "ooak-data", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad1b7cce12014a7746a7f8b912560717f6e2f037.png", "website": "https://ooakdata.com/", "all_locations": "Paris, Île-de-France, France", "long_description": "The promise of AI agents is still unmet in complex, real-world business environments. Our mission is to make it possible for agents to reliably accomplish concrete and useful tasks.\r\n\r\nThat’s why we're building **Alexandria,** the world's largest library of real-world business workflow datasets.", "one_liner": "We build the world's largest library of real-world business workflow…", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783922301, "tags": [ "Artificial Intelligence", "Reinforcement Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/ooak-data", "api": "https://yc-oss.github.io/api/batches/summer-2026/ooak-data.json" }, { "id": 32586, "name": "Greypoint Industries", "slug": "greypoint-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0639d67fe49e5a542121b3abc6ee745141eeff4b.png", "website": "https://greypointindustries.ca/", "all_locations": "San Francisco, CA, USA", "long_description": "Greypoint Industries builds mass-produced autonomous interceptors that defeat drone saturation for a fraction of the cost of the targets. We are developing a soldier-deployable, fire-and-forget interceptor built to give Western and allied forces the ammunition to counter mass drone swarm attacks.", "one_liner": "Manufacturing the future of autonomous swarm warfare.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1782765221, "tags": [ "Hardware", "Robotics", "Drones", "Manufacturing", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/greypoint-industries", "api": "https://yc-oss.github.io/api/batches/summer-2026/greypoint-industries.json" }, { "id": 32617, "name": "Whitespace", "slug": "whitespace", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7ab9b902afa3fe0a37b3622022557a9cd82d082.png", "website": "https://whitespacehq.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Whitespace is the AI operating system for wholesale distributors. It connects to their systems and inboxes to build a living model of their business, then deploys self-improving AI agents to automate work like inventory planning, customer support, and order entry.", "one_liner": "AI Operating System for Wholesale Distributors", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1782389037, "tags": [ "Artificial Intelligence", "SaaS", "B2B", "Supply Chain" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/whitespace", "api": "https://yc-oss.github.io/api/batches/summer-2026/whitespace.json" }, { "id": 32624, "name": "Fabraix", "slug": "fabraix", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3d83aa2013bbe6b22b37f316b294d0c717eea35.png", "website": "https://fabraix.com", "all_locations": "San Francisco, CA, USA", "long_description": "Fabraix builds state-of-the-art AI red-teaming agents that continuously detect security vulnerabilities in customer-facing AI. Our product, Nyx, has already found vulnerabilities in agents at dozens of Fortune 500 companies. On AgentHarm, the leading benchmark for offensive AI security, Nyx achieved a 78% attack success rate, compared with 67% for GPT-5.6 Sol.\r\n\r\nCompanies usually pay for penetration tests one project at a time. They select which systems to include, give a team a few weeks to find vulnerabilities, and receive a report when the project ends. Testing everything this way is very expensive. Globally, penetration tests cover only 26% of the software attack surface.\r\n\r\nAI agents can change more often than teams can test them. A new model, prompt, tool, permission, or data source can change what an agent does, even when the application code stays the same. The report describes only the version that was tested. AI is also increasing how much software companies produce and how often it changes.\r\n\r\nWe built Nyx to automate this work. It does three things:\r\n1. Nyx connects through the same interfaces customers use. It tests chat, voice, browser, and coding agents without source code or a special integration.\r\n2. It draws on more than 10,000 jailbreaks that we have collected and classified, the largest such library we know of.\r\n3. It uses each response to decide what to try next and can pursue a promising approach for hundreds of turns. In our tests, these adaptive attacks succeeded 20 times as often as attacks that were replayed unchanged or stopped after a fixed number of turns.\r\n\r\nNyx often finds its first vulnerability within minutes or hours rather than days or weeks. Because the work is automated, companies can repeat the test with every change and at much lower cost.\r\n\r\nWe're also the team behind ACE (Adversarial Cost to Exploit), a benchmark that measures AI security in terms of how much it costs attackers to break an AI system; providing a game-theoretic framework to understand how motivated a rational attacker would be in exploiting the system.", "one_liner": "The world's frontier hacker for AI agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1783913331, "tags": [ "Reinforcement Learning", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/fabraix", "api": "https://yc-oss.github.io/api/batches/summer-2026/fabraix.json" }, { "id": 32650, "name": "Risklytics", "slug": "risklytics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0ad1653f775fb272b3481e8715c274f46c2c464.png", "website": "https://www.risklytics.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Risklytics builds AI risk models that score natural disaster risk property by property, so insurers can write the good risks hiding inside 'high-risk' zones instead of declining entire ZIP codes. One API call returns the risk score, the drivers behind it, and the cheapest retrofit path to insurability.", "one_liner": "Property-level natural disaster risk scoring for insurers", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1783123197, "tags": [ "Machine Learning", "B2B", "Climate", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/risklytics", "api": "https://yc-oss.github.io/api/batches/summer-2026/risklytics.json" }, { "id": 32682, "name": "LATO", "slug": "lato", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78429e3a8867e93ea2df52fc422fdbd447685774.png", "website": "https://www.latolabs.io/", "all_locations": "San Francisco, CA, USA", "long_description": "The best investments come from conviction, and conviction comes from understanding a market deeply: its customers, its competitors, and where it's heading.\r\n\r\nToday that understanding is slow and expensive to build. Reaching the right people takes weeks, a commercial study costs $300k+, and each one starts from scratch.\r\n\r\nLATO does this research end-to-end, combining public data and the fund's own knowledge with first-hand interviews of a market's customers, experts, and operators. This research grounds a simulation of the market to predict how market participants behave.", "one_liner": "Agent-native research and simulation platform for investors", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782190140, "tags": [ "B2B", "Investing", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lato", "api": "https://yc-oss.github.io/api/batches/summer-2026/lato.json" }, { "id": 32751, "name": "Vestris", "slug": "vestris", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e17d90c0a32a27bdb75bac6bb8a2ca4e0ad1646d.png", "website": "https://vestris.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Replaces title searchers and closes property deals", "team_size": 0, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1783395705, "tags": [ "Workflow Automation", "Home Services" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/vestris", "api": "https://yc-oss.github.io/api/batches/summer-2026/vestris.json" }, { "id": 32781, "name": "Isengard Industries Inc", "slug": "isengard-industries-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61edd7196dfa0843151f208bc6c91a2bd788bc94.png", "website": "http://isengardindustries.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Isengard Industries is not another drone company.\r\n\r\nWe build sovereign production: the means for allied nations to make precision-strike and counter-drone systems by the thousand, on their own soil, at a fraction of what the primes charge.\r\n\r\nWe call it Weapons of Mass Production. The Arsenal of Democracy, rebuilt for the drone age.\r\n\r\nMore to come, and only where it helps. You know how to reach us.", "one_liner": "Mass-produced AI strike systems and Counter-UAS", "team_size": 30, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1782404945, "tags": [ "Swarm Robotics", "Unmanned Vehicle", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/isengard-industries-inc", "api": "https://yc-oss.github.io/api/batches/summer-2026/isengard-industries-inc.json" }, { "id": 32782, "name": "Denta", "slug": "denta", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8126dcec05004e9a335df14d0116cf4774a61b06.png", "website": "https://trydenta.com", "all_locations": "San Francisco, CA, USA", "long_description": "Denta is the practice management platform that puts dental practices on autopilot. When a dentist starts a new practice, instead of finding an accounting firm, hiring two front desk workers, and then spending their nights posting insurance payments, they use Denta.\r\n\r\nI started Denta to help operate my Dad's 10 practices in Iowa. In supporting those, I realized the most painful part was both people and agents having messy access to fragmented data. So I solved for that and now spend my time automating work for dentists!", "one_liner": "The dental practice that runs itself", "team_size": 1, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1782407143, "tags": [ "Dental", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/denta", "api": "https://yc-oss.github.io/api/batches/summer-2026/denta.json" }, { "id": 32988, "name": "Markov", "slug": "markov", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/455a1b80a115b180bc211a79ff00bc48bf9cb451.png", "website": "https://www.markovstudios.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We source high quality tasks and data to train the next generation of computer use AI models.", "one_liner": "Data for computer-use ai", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782277833, "tags": [ "Reinforcement Learning", "Data Labeling", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/markov", "api": "https://yc-oss.github.io/api/batches/summer-2026/markov.json" }, { "id": 33012, "name": "Cosmic Robotics", "slug": "cosmic-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/610b3f44c95c65ea346121a48c57b8c81a3788ce.png", "website": "https://www.cosmicrobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Our mission is to build a city on Mars. \r\n\r\nCosmic-1, the first equipment in our fleet, is an autonomous robot capable of heavy-lift manipulation. Its been deployed on some of the largest solar farms in the US, more than doubling labor productivity across tens of thousands of panel installs. \r\n\r\nWe're scaling in solar, expanding in data centers, and building lunar construction robotics under contract with NASA.", "one_liner": "Autonomous construction on Earth and beyond", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1783106253, "tags": [ "Hard Tech", "Robotics", "Construction", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cosmic-robotics", "api": "https://yc-oss.github.io/api/batches/summer-2026/cosmic-robotics.json" }, { "id": 33013, "name": "Operon", "slug": "operon", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aaeb7f2ff7aa5b0b7e64888230be2a7e46342f66.png", "website": "https://operonsolutions.com/en", "all_locations": "San Francisco, CA, USA", "long_description": "Operon is the data intelligence layer for heavy industry. We ingest the messy documents a plant runs on (P&IDs, schematics, datasheets, scans) and turn them into one structured, queryable model of the facility.\r\n\r\nOn top of it, engineers query their plant in natural language and build agentic workflows for safety, compliance, and design. \r\n\r\n", "one_liner": "Agentic data layer for manufacturing & process industries. ", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1782593141, "tags": [ "Computer Vision", "Manufacturing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/operon", "api": "https://yc-oss.github.io/api/batches/summer-2026/operon.json" }, { "id": 33014, "name": "Inkbox", "slug": "inkbox", "former_names": [ "Inkbox (Vectorly Inc)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2e10120a7184c6f7b716b22ea7167e079fcbd86.png", "website": "https://inkbox.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We are building the identity and communication layer for AI agents: giving agents their own email, phone, iMessage, and internet address. Every interaction flows through Inkbox, so agents are enhanced with multi-channel context.", "one_liner": "Give your AI agents email, phone, iMessage and an internet address", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782881612, "tags": [ "Developer Tools", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/inkbox", "api": "https://yc-oss.github.io/api/batches/summer-2026/inkbox.json" }, { "id": 33017, "name": "ProvenMetal", "slug": "provenmetal", "former_names": [ "Syncra" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/450cf955a0b5a1e301afe718484dd30ffb22fb67.png", "website": "https://provenmetal.com", "all_locations": "San Francisco, CA, USA", "long_description": "ProvenMetal manufactures the fastest circuit boards in the United States.\r\n\r\nDomestic circuit board manufacturing is slow and expensive, and while reshoring is happening, the supply chain isn't there yet.\r\n\r\nWe automate the bottlenecks - part procurement, DFM review, and assembly - delivering circuit boards in days instead of weeks.\r\n", "one_liner": "Fast-turn, American made PCBs", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783632830, "tags": [ "Hardware", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/provenmetal", "api": "https://yc-oss.github.io/api/batches/summer-2026/provenmetal.json" }, { "id": 33018, "name": "Agentcard", "slug": "agentcard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aba1ff38c8593a6ce1ecdd01f1125330e298ac04.png", "website": "https://agentcard.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Agentcard.sh is a debit card for AI agents. Agents can use Agentcard’s API to issue cards and pay for things online autonomously.", "one_liner": "debit cards for AI agents.", "team_size": 0, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1780682746, "tags": [ "Fintech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/agentcard", "api": "https://yc-oss.github.io/api/batches/summer-2026/agentcard.json" }, { "id": 33019, "name": "Agnost AI", "slug": "agnost-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bf16355f4f9b0a78a4a26f6f533377d295877d5.png", "website": "https://agnost.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Agnost AI helps teams building chat and voice AI agents understand what users want, where they get stuck, and why they drop off.\r\n\r\nWe read production AI conversations, cluster recurring intents, feature requests, frustration, and failure patterns, then open PRs against prompts, tools, and harnesses to improve the agent.", "one_liner": "Product analytics for teams building conversational agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1783481375, "tags": [ "Developer Tools", "Analytics", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/agnost-ai", "api": "https://yc-oss.github.io/api/batches/summer-2026/agnost-ai.json" }, { "id": 33021, "name": "Care GP", "slug": "care-gp", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f871fa8c32b501e71ef06d881893d564e003fbd.png", "website": "https://caregp.com.au/", "all_locations": "Sydney, NSW, Australia", "long_description": "Care GP is building AI agents to run operations for primary healthcare clinics", "one_liner": "AI agents to run primary healthcare operations", "team_size": 10, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1780569041, "tags": [ "SaaS", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "Australia", "Oceania" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/care-gp", "api": "https://yc-oss.github.io/api/batches/summer-2026/care-gp.json" }, { "id": 33022, "name": "Praxis AI", "slug": "praxis-ai-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bc18b804ad9a5d92ef1db88e90491f98e0204a7.png", "website": "https://www.praxisrobotics.io", "all_locations": "San Francisco, CA, USA", "long_description": "Praxis captures the data physical AI is bottlenecked on: egocentric video, 3D scans, and multimodal capture from inside real industrial and residential environments. Embedded within publicly listed and unicorn-scale conglomerates, we reach 60k workers across 5 continents and 150+ environment types, supplying the real-world training data frontier labs and humanoid companies can't source anywhere else.", "one_liner": "Turns every company into a data vendor ", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1782948528, "tags": [ "Hard Tech", "Reinforcement Learning", "Robotic Process Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/praxis-ai-2", "api": "https://yc-oss.github.io/api/batches/summer-2026/praxis-ai-2.json" }, { "id": 33023, "name": "Levocred AI", "slug": "levocred-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bbbf3d7f7c1c77264bdea3c5e95a8c6d460cd1f.png", "website": "https://levocred.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Levocred AI is the Company Brain for credit teams — an AI employee that plugs into the fund's loan tape, credit agreements, servicer reports, and bank feeds, and runs the workflows analysts would otherwise grind on.", "one_liner": "AI for every workflow inside a credit team", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1782022398, "tags": [ "Lending", "Investments" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/levocred-ai", "api": "https://yc-oss.github.io/api/batches/summer-2026/levocred-ai.json" }, { "id": 33052, "name": "Mireye", "slug": "mireye", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c96db3bdd6828a4a145c678555e120d2ab43c855.png", "website": "https://www.mireye.com/", "all_locations": "San Francisco, CA, USA", "long_description": "AI agents are starting to act in the real world, but they can't reliably understand it. \r\n\r\nGeospatial data is complex, fragmented, and unstructured. Ask a model a specific question about a specific place and it guesses. Our API and MCP give agents cited answers about any location.\r\n\r\nOur mission is to index every inch of the earth, and make it as queryable as the web.", "one_liner": "Infrastructure for Physical World AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1781399078, "tags": [ "Artificial Intelligence", "Geographic Information System", "Location-based" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mireye", "api": "https://yc-oss.github.io/api/batches/summer-2026/mireye.json" }, { "id": 33056, "name": "83 Sciences", "slug": "83-sciences", "former_names": [ "LabAlly", "83 sciences" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/08c94ab9737bf76c36b1cbac477c55b5067788ed.png", "website": "https://83sciences.ai", "all_locations": "San Francisco, CA, USA", "long_description": "83 Sciences uses AI to mine discarded experimental data and drive scientific breakthroughs. Working alongside labs, we discover the materials that will power the new Industrial Revolution.", "one_liner": "AI-native materials discovery powered by unpublished experimental data", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1783362788, "tags": [ "Hard Tech", "Advanced Materials", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/83-sciences", "api": "https://yc-oss.github.io/api/batches/summer-2026/83-sciences.json" }, { "id": 33111, "name": "Skymerse", "slug": "skymerse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dcac201e21fa70f9b3a8a1b827c8fd7759c25920.png", "website": "https://skymerse.com", "all_locations": "San Francisco, CA, USA", "long_description": "Skymerse is building one AI system for airline flight operations: from planning and monitoring in the operations center to real-time support in the cockpit. It is developing specialized aeronautical models that understand the data, constraints, and procedures behind each flight, replacing fragmented tools and manual interpretation. Notamify, its first product, already serves airline customers and thousands pilots and aviation professionals.", "one_liner": "Autopilot for Flight Operations", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1783640155, "tags": [ "Airlines", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/skymerse", "api": "https://yc-oss.github.io/api/batches/summer-2026/skymerse.json" }, { "id": 33177, "name": "HyperProbe", "slug": "hyperprobe", "former_names": [ "HyperTest inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e5b4807040a02ba35de45355e3c51fd115e82199.png", "website": "http://hyperprobe.co", "all_locations": "San Francisco, CA, USA", "long_description": "If your team uses Cursor, Claude Code, or Codex to ship, you've felt it: the AI is great at writing code, mediocre at debugging it. When something breaks in prod, you're back to grepping logs, adding console.logs, redeploying, and hoping the AI's guess is right.\r\n\r\nHyperProbe fixes this. Your coding agent dynamically drops non-breaking probes into your running services, straight from your IDE. When a probe fires, HyperProbe captures and sanitises the exact variable state, feeding your agent real evidence instead of flat logs. \r\n\r\nThis fixes prod incidents in minutes from the exact same window where agents write code, without ever redeploying to add a print statement. Under 1% CPU overhead. Automatic PII redaction. \r\n\r\nBuilt for backend teams shipping AI-written code today. Install in 60 seconds, see your first investigation in 10 minutes. That's why we call HyperProbe the runtime data layer for AI-native software.\r\n\r\n", "one_liner": "Your coding agent writes code. Now let it fix prod too.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1783455456, "tags": [ "Developer Tools", "DevSecOps", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hyperprobe", "api": "https://yc-oss.github.io/api/batches/summer-2026/hyperprobe.json" }, { "id": 33249, "name": "OpenRelay", "slug": "openrelay", "former_names": [ "VectorLay" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dfebad0e89c8e36ca28819a3b651bee8a4326b76.png", "website": "https://www.openrelay.inc", "all_locations": "Seattle, WA, USA", "long_description": "", "one_liner": "Distributed, hardware-agnostic AI inference", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1783565051, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/openrelay", "api": "https://yc-oss.github.io/api/batches/summer-2026/openrelay.json" }, { "id": 33277, "name": "Hop Aero", "slug": "hop-aero", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5cab9ede70e23b0ea3f8e3b64b7a19735939c17.png", "website": "https://hop-aero.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Hop Aero is building rocket cargo vehicles that deliver to contested environments hundreds of miles away in minutes. Our rockets fly point-to-point into the most austere locations at hypersonic speeds. Hop Aero's goal is to provide the U.S. and allies the asymmetric advantage that deters a future major conflict.", "one_liner": "Rocket cargo delivery to contested environments", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1781029529, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hop-aero", "api": "https://yc-oss.github.io/api/batches/summer-2026/hop-aero.json" }, { "id": 33281, "name": "Earendil Robotics", "slug": "earendil-robotics", "former_names": [ "Earendil Robotics Ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39ec6212427cdf833238bd48eca01f40904ba49f.png", "website": "https://earendil.io", "all_locations": "San Francisco, CA, USA", "long_description": "Earendil Robotics builds cUAS solutions for the modern warfighter, enabling effective air defence at the small-unit level. We deliver spotting, engaging, and destroying capabilities through advanced sensors, autonomous interceptors, and integrated systems.\r\n\r\nOur product lineup covers every stage of the kill chain, complemented by the Drone Warfare Academy that trains soldiers to eliminate enemy drone threats in contested environments.\r\n\r\nBacked by worldwide frontline combat experience, we equip units with combat-proven tools to counter evolving aerial threats.", "one_liner": "Drone swarm defence at a small-unit level", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1783628748, "tags": [ "Drones", "Swarm Robotics", "AR" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/earendil-robotics", "api": "https://yc-oss.github.io/api/batches/summer-2026/earendil-robotics.json" }, { "id": 33282, "name": "Florin", "slug": "florin", "former_names": [ "Bolten AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48074691217afbc59a4443c6ffa2379a823efda9.png", "website": "https://florin.inc", "all_locations": "San Francisco, CA, USA", "long_description": "Florin brings banking, payments, cards, and treasury into one account built for startups - so founders can hold, move, and grow their capital without stitching together half a dozen tools. Unlike platforms that resell another bank's rails, we're building the infrastructure ourselves, end to end, so money moves in real time on a single ledger we own. We start with an invite-only membership for venture-backed companies and expand from there. Named after the florin, the coin that anchored global trade for three centuries, with infrastructure built for how money moves now.", "one_liner": "The financial operating system for the companies building the future.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1782360987, "tags": [ "Artificial Intelligence", "Banking as a Service", "Fintech", "Finance", "Neobank" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/florin", "api": "https://yc-oss.github.io/api/batches/summer-2026/florin.json" }, { "id": 33283, "name": "Justinian", "slug": "justinian", "former_names": [ "Overton" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05d00b332191d31f20aa45f1bbec7b3fd866e683.png", "website": "https://justinianai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Justinian is an applied AI company changing the way companies and governments work together. \r\n\r\nOur first focus is building Justinian Government Affairs, an AI-native government affairs firm helping early-stage companies monitor regulations, lobby policymakers, and win government contracts.", "one_liner": "Builders of the first AI-native government affairs firm.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783293519, "tags": [ "GovTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/justinian", "api": "https://yc-oss.github.io/api/batches/summer-2026/justinian.json" }, { "id": 33310, "name": "Petrarch", "slug": "petrarch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/091a0f9893d5a0f66b65399660fc8041716acd4e.png", "website": "https://petrarch.co/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Market maker for specialized data assets", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782965522, "tags": [ "Marketplace", "B2B", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/petrarch", "api": "https://yc-oss.github.io/api/batches/summer-2026/petrarch.json" }, { "id": 33313, "name": "SubVysion", "slug": "subvysion", "former_names": [ "SubVysion, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0df819d609df4c8e15ebdc21bbc1f518d56e52d8.png", "website": "https://subvysion.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build centimeter-accurate 3D maps of underground utilities, to help construction contractors dig safer and faster. With underground intelligence, contractors can avoid utility strikes, which cause $30B in damages and 20 deaths every year in the US.", "one_liner": "We help contractors dig safer with 3D maps of underground…", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1783960374, "tags": [ "Augmented Reality", "Construction" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/subvysion", "api": "https://yc-oss.github.io/api/batches/summer-2026/subvysion.json" }, { "id": 33315, "name": "Amulet", "slug": "amulet", "former_names": [ "Quokka" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/995b893cdd67e1db883c8b75bff1f9221fff5327.png", "website": "https://amulet.so/", "all_locations": "San Francisco, CA, USA", "long_description": "Amulet helps post-sales teams monitor every account and automate the work that drives retention and expansion.\r\n\r\nOur agents connect to customer data (CRM, support, product usage, and communication data) to flag churn risks, surface upsell opportunities, track adoption, and draft the right messages for each customer.", "one_liner": "Agents that drive customer success", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1783403722, "tags": [ "SaaS", "B2B", "Customer Success", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/amulet", "api": "https://yc-oss.github.io/api/batches/summer-2026/amulet.json" }, { "id": 33320, "name": "OneCLI", "slug": "onecli", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0405005492b7122ac5f4784e260fc64d7bd99053.png", "website": "https://onecli.sh", "all_locations": "San Francisco, CA, USA", "long_description": "OneCLI is a credential isolation gateway for AI agents. Agents see placeholder tokens instead of real API keys and OAuth credentials, the real secrets are injected at the network layer, so a compromised or misbehaving agent can never leak them. \r\n\r\nTeams get per-agent access control, full audit logs, and one-click integrations with Gmail, GitHub, Jira, Slack, and 50+ other apps. OneCLI is open source (2.5K+ GitHub stars, 300K+ downloads), Already the default credential layer for products like NanoClaw.", "one_liner": "The Identity Gateway for AI Agents", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1783888956, "tags": [ "B2B", "Security", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/onecli", "api": "https://yc-oss.github.io/api/batches/summer-2026/onecli.json" }, { "id": 33349, "name": "Robocurve", "slug": "robocurve", "former_names": [ "Telos", "Robocurve PBC" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6e8c861f1402c351c96ee862b0de398b987e645.png", "website": "https://robocurve.org", "all_locations": "San Francisco, CA, USA", "long_description": "Robocurve builds open-source tools and independent benchmarks to measure how well robots can do real-world jobs. Instead of relying on unverified demo videos from frontier labs, we score their models on reproducible benchmarks that anyone can trust.\r\n\r\nToday there are no well-run, standardized robotics benchmarks. Labs evaluate in-house, and no independent group has stepped in to run continuous benchmarking as a service. The result is that no one actually knows how good anyone else is, or where the real frontier sits.\r\n\r\nGood benchmarks require operating and maintaining physical hardware and real-world setups. Simulation only goes so far, since models that look strong in sim can show large performance gaps once deployed in the real world. Building real-world benchmarks means coordinating job-domain experts, evals engineering, and hands-on robotics all at once.\r\n\r\nFrontier labs are targeting general-purpose robotics by 2028, yet the field of robotics evals barely exists. Whoever builds the trusted measure of robot capability becomes the reference everyone relies on. We combine backgrounds in AI evals and robotics to build and grow this field as fast as possible. We already shipped v1 of our open-source framework, Inspect Robots, and ran our first pilot scoring a frontier model on a real robot.", "one_liner": "We measure how well robots can do real-world jobs.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783378088, "tags": [ "Hard Tech", "Hardware", "Robotics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/robocurve", "api": "https://yc-oss.github.io/api/batches/summer-2026/robocurve.json" }, { "id": 33408, "name": "Salem Robotics Inc", "slug": "salem-robotics-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5e1ebb1f65dc65dbec9a58c2d2d505adc9e79d36.png", "website": "https://salemroboticsinc.com", "all_locations": "Austin, TX, USA", "long_description": "Our software turns any robot we deploy into an everyday independent worker at your facility. They are able to walk sites, handle instruments, overcome obstacles, collect measurements, and generate auditable compliance records, replacing hours of manual surveys and inspections. Built by Los Alamos robotics veterans and deterministic-manipulation researchers, we're starting in nuclear and expanding to other hazardous industries.", "one_liner": "We deploy robots for inspections in hazardous spaces, like nuclear.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783052221, "tags": [ "Hard Tech", "Robotics", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/salem-robotics-inc", "api": "https://yc-oss.github.io/api/batches/summer-2026/salem-robotics-inc.json" }, { "id": 33540, "name": "Osseus", "slug": "osseus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd39ca163a2a8ea396a6ec66701926317f9f416c.png", "website": "https://osseus.ai/", "all_locations": "", "long_description": "Osseus is the secure research brain for R&D teams. Today, research knowledge is fragmented across specialist tools, decisions, conversations, and people's heads. Osseus crafts this into a permissioned memory that grows with every experiment, decision, failure, and lesson learned. Rather than only retrieving the current state of connected tools, Osseus preserves how work evolved: what was tried, what failed, why decisions were made, and who holds the relevant context.\r\n\r\nEach person gets a personal AI agent that uses this growing history to proactively surface relevant evidence, help prevent duplicated work and repeated mistakes, and identify the exact expert who can unblock the next decision. By preserving both technical history and the organizational know-how behind team processes and decision making, Osseus helps R&D teams move faster before time and money are wasted.", "one_liner": "The secure research brain for accelerating R&D", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1783740069, "tags": [ "B2B", "Enterprise Software", "Infrastructure", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/osseus", "api": "https://yc-oss.github.io/api/batches/summer-2026/osseus.json" }, { "id": 33573, "name": "hardware intelligence", "slug": "hardware-intelligence", "former_names": [ "Viki", "hi", "Hardware Intelligence" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c2193e7412febe2e812491e1a73617bb09eb897.png", "website": "https://hardwareintelligence.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Agentic chip design with ultrafast feedback loops", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1781119605, "tags": [ "Developer Tools", "Hardware", "Enterprise Software", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hardware-intelligence", "api": "https://yc-oss.github.io/api/batches/summer-2026/hardware-intelligence.json" }, { "id": 33738, "name": "Coasty", "slug": "coasty", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49c533e34b6c887207ac5683dd8dfab22709a458.png", "website": "http://coasty.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Coasty is a computer use agent that does real work inside softwares, companies already run. New web apps, old desktop tools, the legacy systems nobody wants to touch. You hand it a workflow and it owns the outcome.\r\nMost agents demo well and break the moment they hit real software. They get 18 steps out of 20 right, misclick once, and everything after is garbage. Coasty catches when it goes off track and fixes itself mid-task instead of starting over. It handles the messy parts, benchmarks never show. Permission dialogs, surprise pop-ups, a modal that steals focus, a page that loads slow. When a vendor pushes an overnight update and moves half the menus, brittle scripts break by morning. Coasty reads the screen instead of recording clicks, so it adapts and keeps going.\r\nIt also checks its own output and leaves a time-stamped trail you can replay. We won't pretend it gets every task right. Nothing automating this work does. What matters is what happens when something breaks. It catches the mistake, fixes what it can, and flags what it can't so a person can step in. Nothing fails quietly. That's what lets a team trust it on the work where a silent error gets someone fired.\r\nWe scored 82% on OSWorld, which puts us among the most reliable agents out there. Reliability is the whole product, not a feature.", "one_liner": "The computer-use agent that doesn't break on real software. We will…", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782294083, "tags": [ "AIOps", "Developer Tools", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/coasty", "api": "https://yc-oss.github.io/api/batches/summer-2026/coasty.json" }, { "id": 33805, "name": "Edviro", "slug": "edviro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c179a28044a3d4a8c3ceaf2a5b8cecbf90f66aa7.png", "website": "https://edviroenergy.com", "all_locations": "San Francisco, CA, USA", "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager. Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR. ", "one_liner": "Energy world models that fix energy waste before it becomes expensive.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782807553, "tags": [ "Deep Learning", "B2B", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/edviro", "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json" }, { "id": 33806, "name": "Experiential Labs", "slug": "experiential-labs", "former_names": [ "Resolute Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/716e828c9efd6efe6da64574ff67dd5bfa0c2a25.png", "website": "https://experientiallabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "An applied AI research lab building world models for agents. We simulate reality faster and more accurately based on the technology self-driving uses to get 99.7% reconstruction fidelity.", "one_liner": "World models for agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782607347, "tags": [ "Artificial Intelligence", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/experiential-labs", "api": "https://yc-oss.github.io/api/batches/summer-2026/experiential-labs.json" }, { "id": 33936, "name": "Conifer", "slug": "conifer", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1cd2adb8270db80170ab62b4140817892372538a.png", "website": "https://www.conifer.build", "all_locations": "San Francisco, CA, USA", "long_description": "Conifer is one app that connects you to every AI model (local and cloud) and automatically routes each request to the cheapest model that accomplishes your goal. Most requests run free on your own hardware, so teams cut their AI bill by ~80% while replacing a dozen provider contracts with one interface and one invoice. For sensitive material like financials or user data, a secure mode pins everything on-device with no external API calls.", "one_liner": "Local-first least cost routing system to reduce 80%+ token spend", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783524440, "tags": [ "Artificial Intelligence", "B2B", "Security" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/conifer", "api": "https://yc-oss.github.io/api/batches/summer-2026/conifer.json" } ]