Announcing Jedify’s Autonomous Deep Research Agent 🤖
Jedify fuses business context with multi-source data into a context layer that powers enterprise-grade AI applications – grounded, scalable, and efficient.
Without Jedify, data teams sink massive time into stitching data, defining metrics, and building semantics only to end up with outputs that don’t scale and require unmanageable prompting.
With Jedify, you connect your data and knowledge, and Semantic Fusion™ creates an AI-ready context layer that lets AI Agents scale accurately and efficiently.
Build robust AI applications with just a few prompts. Jedify’s MCP Server or SDK automatically stream all required context from your Semantic Fusion™ model – on any platform you choose.
Once deployed, your Jedify-powered AI apps stay up to date ingesting streaming data and using the latest Semantic Fusion™ instance for accuracy, consistency, and autonomous scale.
Let Jedify’s AI analytics agents serve business users directly, while your team controls and enhances the contextual models and sources that ensure data remains trusted, governed, and increasingly valuable.
Agents connect product usage, customer feedback, and roadmap context. Spot adoption gaps early, take action on insights, and measure impact automatically.
Agents track pipeline health, flag at-risk deals, and spotlight growth opportunities. Forecasts stay accurate, and metrics like ARR, churn, and win-rate remain consistent.
Agents unify campaign data, analytics, and customer journeys. They surface what drives performance, recommend spend shifts, and enable actions that maximize ROI.
Semantic Fusion™ is built for autonomous intelligence. It continuously builds, updates, and refines its understanding of your business as data changes—powering AI agents that learn and adapt over time.
Jedify seamlessly integrates with your key data sources: data lakes, warehouses, BI tools, databases, CRMs and more. But it also asks for the atypical: URLs and documents that describe your business, products, processes and goals creating the powerful context that aligns Jedify around who you are as a business.
Once connected, Jedi powers go to work. Jedify’s autonomous agentic processes enact nuanced language models tailored to your data and business context, capturing even the most granular details. These models serve as the foundation for delivering highly relevant and precise insights.
After the model is generated, your data teams inspect and tweak it with full transparency. Built-in source data reconciliation, governance and permissioning tools help ensure data integrity and security. You can edit the semantic models to ensure that all your business and data nuances are represented correctly.
Jedify’s native agents, powered by Semantic Fusion™, give you an intuitive way to work with your company’s data. These agents deeply understand your business context, allowing you to explore data fluidly, surface rapid insights on demand, and conduct in-depth research with precision.
Jedify’s MCP and A2A servers give agentic applications the context they need for intelligent, autonomous execution with zero hallucinations. Jedify ensures agents have direct access to structured goals, workflows, and company know-how. The result is agents that operate with precision, stay aligned with how your organization truly works, and scale seamlessly across the enterprise.
Jedify has transformed how we analyze our data. Our business leaders can now ask natural language questions and get instant answers. We use it daily, whether preparing for leadership meetings or checking performance. It’s like having a trusted data analyst in every room.
Venkatesh Nagarajan
VP of Data & Analytics
Jedify has become our go-to for tracking game performance. Our executives can now independently access real-time KPIs without having to go through the data team for every question, significantly shortening our time to decision. Instead of pulling analysts into endless deep dives on player retention and monetization, our teams explore the data on their own and get clear answers instantly.
Avi Baruch
VP of Data, Analytics & Digital Platforms
Integrating Jedify into our product eliminated the task of building custom analytics for every customer’s unique workflows – now our clients’ sales ops teams query their own deal data, approval bottlenecks, and pricing trends without us maintaining hundreds of bespoke dashboards or exposing raw database access.
Avishai Victor Ankri
CTO Team Member
Now, anyone can answer a business question without relying on data analyst expertise or navigating dashboards. By choosing Jedify over building in-house, we dramatically reduced our time to AI-powered BI.
Dominic Pyne
Director of Analytics Engineering
At SoundCloud, scale and speed are everything and traditional self-serve BI tools never reached the level we needed. Jedify has transformed how we deliver analytics across the organization: faster, more flexible, and with fewer technical barriers.
Rory O’Flynn
Director of Insights & Analytics
Jedify really understands our business and the metrics that matter most. Our executive team has full visibility, the organization stays aligned around trusted, accurate data, and we can access it on mobile when we need to.
Yaniv Greenfeld
VP Rev Ops & FP&A
Platform
Platform overview
An autonomous context graph that connects to all your data and enables an enterprise-grade agentic framework for workflows that reason, decide, and act.
Semantic Fusion™
AI-ready contextual data layer
Data Agents
Autonomous reasoning grounded to your context
Embedded AI Analytics
Give your customers AI superpowers
Data & Knowledge Connectors
Native connectors for complete context
AI Applications
Context-aware analysis with Semantic Fusion™
MCP & Integrations
Customer-facing contextual analytics
Governance
AI-driven enterprise knowledge
Use cases
Conversational Analytics
Get answers using natural language
AI Applications
Enterprise-grade AI using Jedify MCP/SDK
Research Agents
Context-aware analysis with Semantic Fusion™
Data Applications
Build AI-powered interactive dashboards
Embedded AI Analytics
Customer-facing contextual analytics
AI-powered Dashboards
Dynamic, explorable mini-apps
Insights Library
AI-driven enterprise knowledge
By Teams
Data teams & App Builders
Build AI powered data driven applications
Product teams
Understand users and drive product decisions
Sales & Revenue Operations
Track performance and optimize revenue pipelines
Data Engineering
Prepare, manage and scale data infrastructure
Data & BI Analysts
Explore data and deliver deeper insights
Customer Success
Monitor customers and improve retention outcomes
Marketing teams
Analyze campaigns and optimize growth performance