Simba Intelligence
Governed Semantic Layer for AI Systems, Without Hallucinations
Simba Intelligence turns your existing data infrastructure into an AI-ready semantic layer. Connect live enterprise data to AI systems through governed connectors with driver-level access. Simba Intelligence’s RAG and grounding systems also prevent hallucinations and eliminate brittle integrations so you can always trust that the data is secure and accurate.
Connect AI to the Business Data You Trust
From embedded product teams to enterprise data owners, Simba Intelligence gives AI governed access to trusted business data, business definitions, and context, helping teams deliver more accurate, explainable AI-powered data experiences.
Software Builders
Make Your Product the Smartest in the Room
Software vendors embed Simba Intelligence to deliver governed, explainable AI analytics that trace back to source data. APIs & SDKs integrate directly into your app so users stay in flow. ISVs use it to differentiate, drive adoption, and earn trust.
Data & Engineering Teams
Empower Teams With Governed, Live AI Insights
Data & analytics teams use Simba Intelligence to automate prep with agents, apply the semantic layer at query time, and enforce governance. Decision makers get explainable numbers with lineage. Analysts drill into anomalies. Adoption scales beyond pilots.
AI Infrastructure
Feed AI Systems Clean, Governed Data at Scale
AI infrastructure teams use Simba Intelligence to give AI agents governed, ready-to-use data without manual prep or brittle pipelines. Agents scan schemas, infer joins, and apply business rules so every AI output is reliable and production-ready.
The 2026 AI Trust Survey Results
insightsoftware surveyed 114 data and analytics decision-makers to uncover the truth about AI trust in the enterprise. The results are eye-opening. See how confident data leaders really are in their AI-generated insights, what’s blocking adoption, and the challenges keeping organizations from fully committing to AI-driven decisions.
Why AI Pilots Stall & How Simba Intelligence Fixes It
Are Hallucinations Eroding Trust in Your Results?
When answers look sure but you can’t prove the number, trust fades quickly. Without a clear trail back to the source, leaders won’t sign off. Simba Intelligence ties every answer to live data and shows the trail so you can stand behind the result.
Stuck Cleaning Data Instead of Using It?
Teams spend weeks fixing and formatting data instead of solving problems. Simba Intelligence does the prep work for you, so teams can focus on asking natural language questions and finding insight instead of cleaning up spreadsheets.
Do Compliance Rules Stop You From Scaling AI?
Privacy laws and residency rules often block AI projects before they start. Moving or copying data adds risk and delay. Simba Intelligence applies your security and governance rules automatically (while keeping data live) so you can scale AI safely.
What Simba Intelligence Is & Who It’s Built to Serve
Traditional BI surfaces dashboards while data connectors move information, but neither solves the AI trust gap. Simba Intelligence combines agentic AI with zero data movement, enterprise governance, and real-time RAG so you can scale adoption with confidence.
Connect AI Directly to Your Governed Enterprise Data
When you connect a data source, an agent scans schemas, infers joins, and builds a governed semantic layer. Human experts review and refine it before it goes live. From that point, every question queries live data through that layer, returning deterministic results with full lineage.
Agents scan schemas, infer joins, and apply business rules so models get contextualized data instantly.
Federate queries access warehouses, databases, and SaaS apps in real time without duplication.
Apply enterprise controls at query time so that access rules, semantic layers, and lineage are enforced.
Every answer is auditable and repeatable and outputs are always grounded in facts, not model guesses.
Integrate Simba Intelligence into ISV apps or workflows with APIs and SDKs for governed AI inside products.
Expose governed enterprise data directly in AI assistants like Claude for seamless user workflows.
Where Simba Intelligence Fits in the Data Landscape
Simba Intelligence connects AI directly to governed enterprise data and doesn’t require copying or losing control. Experience the true potential of natural language query reporting without sacrificing security, performance, or accuracy.
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Connect AI Directly to Your Governed Enterprise Data
When a question is asked, Simba Intelligence delivers a data engineering agent. This agent connects to live sources with production-grade connectivity, applies your semantic layer and governance policies at query time, and generates deterministic results with full lineage. ISVs can embed Simba Intelligence through APIs & SDKs, and enterprises adopt it to scale AI safely across their workflows.
Run AI & Analytics Without Needing to Move Data
Each core feature works together to keep data live, governed, and explainable. From AI agents to audit trails, every part of Simba Intelligence is designed for trusted, enterprise-scale analytics.
AI Agents for Data Prep
Automates schema discovery, infers joins, and maps context at query time so models get structured inputs.
Zero Data Movement
Federates queries across warehouses, databases, and SaaS apps in real time without copying or moving your data.
Governance-First Security
Inherits enterprise permissions, builds a semantic layer, and enforces policies consistently for every query.
Business Rules Engine
Applies business rules and calculations the same way every time, producing consistent answers across teams.
Transparent Audit Trails
Records every query and result with source lineage so outputs are fully traceable, auditable, and defensible.
MCP Integration
Exposes governed data to tools like Claude, Gemini, and ChatGPT via MCP, enabling secure, direct, in-workflow access.
Simba Intelligence, Enterprise Agentic RAG, & Semantic Data Platforms FAQs
While most semantic layers in BI help unify metrics for dashboards, Simba Intelligence is engineered to serve AI agents. This means that it enables natural language exploration and automated reasoning across live data (not just pre-built dashboards). It also inherits your enterprise’s security model and enforces policies at query time to reduce drift and maintain compliance. Lastly, unlike other tools, Simba Intelligence doesn’t require ETL into a separate warehouse or copy because it federates to live sources so data is always current. This also prevents security risks from data replication, helping across multiple facets.
Simba Intelligence doesn’t replace models like ChatGPT, Claude, Gemini, or other LLMs. Instead, it provides them with trustworthy data when queried and governs that access. Simba Intelligence can be thought of as a query engine, not a standalone LLM. It accomplishes this by supplying structured, governed data directly into systems like Claude or ChatGPT (via APIs or SDKs). Simba Intelligence is the crucial grounding layer so these commercial LLM models can provide more accurate answers that are based on real enterprise data instead of guesswork or hallucinations.
Retrieval-Augmented Generation (RAG) does help models like ChatGPT, Gemini, and Claude look up relevant text snippets from real documents to improve answer accuracy, but it doesn’t enforce governance or security policies. RAG systems also don’t run across live systems, apply semantic business logic, or deliver deterministic answers. This is crucial when data is incomplete or not properly structured, which can still result in hallucinations and guessing.
Simba Intelligence is a governed semantic layer and AI query engine that sits between enterprise systems and AI/analytics workflows. In other words, it’s designed to give AI tools direct, governed access to live enterprise data, enforce consistent business logic, and generate deterministic and auditable answers. Instead of hallucinations or guesses, it grounds its answers in real data with traceable answers that have full lineage and audit trails so you’re not left searching for where it came up with insights.
If AI does not have access to all your data, it will still generate an answer, whether that answer is correct or not. Simba Intelligence grounds every query in governed, live enterprise data, applying your business logic and rules at query time so responses are deterministic, verifiable, and auditable. Put simply, Simba Intelligence prevents hallucinations via data grounding, governance, business logic, audit trails, and lineage. Instead of probabilistic answers based on sequence prediction (the crux of hallucinations), our platform retrieves and computes results from structured data so outputs are truly verifiable and repeatable.
Simba Intelligence is designed for CDAOs, CIOs, and product leaders who need to deploy trusted, explainable AI in production. Enterprise teams use it to govern AI across data estates, while software companies embed it to deliver governed intelligence inside their products.
Logi Symphony and Simba Intelligence deliver a Better Together experience. Logi Symphony provides governed dashboards and reports as the single source of truth. Simba Intelligence lets AI agents query live, governed data to answer unscripted questions.
Simba Intelligence supports the full range of Simba drivers, from Snowflake, Databricks, Trino, Salesforce, and SAP to cloud, SaaS, big data, and legacy databases. It queries data in place without replication or brittle pipelines, keeping governance intact.
Simba Intelligence inherits your enterprise security model, enforces access controls and semantic rules, applies your business logic, and maintains complete audit trails for every query and result. It is governance built into the architecture, not added later.
Yes. APIs and SDKs let product teams embed Simba Intelligence directly into their applications. End users get governed, explainable AI inside the product experience with no extra portals or context switching.
The original Simba platform focuses on connecting applications to data through its cutting-edge ODBC/JDBC drivers so BI tools, custom apps, and analytics platforms can access real-time data. Simba Intelligence acts as the next layer on top, using that connectivity to add semantic querying, integrated AI-oriented governance, live query federation, and explainable responses.
No. Simba Intelligence is an agentic analytics platform, not a BI tool. BI tools visualize data that is already aggregated. Simba Intelligence enables AI agents to explore live, governed enterprise data safely, providing deterministic answers instead of static dashboards.
Simba Intelligence can be deployed anywhere: in your cloud, on premises, or in a hybrid environment. It avoids vendor lock-in and adapts to your infrastructure, delivering governed, live data access wherever your systems run.
