Agentic Intelligence
Governed AI answers, the same every time you ask
A governed semantic layer that gives AI tools live, governed access to enterprise data and returns consistent, auditable answers, not guesses.
What it does
Ask questions. Get governed answers from live data.
Answers from live data
Natural-language questions are translated into governed queries against live data, so results reflect your systems, rules, and permissions.
Governance at query time
Row and column security is enforced when the query runs, so each user, tool, and AI agent only sees permitted data.
Zero data movement
Queries run where your data lives, without copying source data into the LLM or moving it into a vendor-controlled environment.
Answer observability
See the query, source rows, and logic behind each result, so teams can inspect how the answer was produced.
Business context layer
Define metrics, relationships, hierarchies, and domain rules once, so AI responses reflect how your business actually measures and operates.
Deployment you control
Run governed intelligence on-premises, in private cloud, or hybrid, so data residency and infrastructure control do not become AI blockers.
Use cases
What you can build with Simba
Ask questions of live data
Ask questions of governed enterprise data through tools like Claude, ChatGPT, or Gemini, with answers grounded in live data, rules, and permissions.
Embed AI answers in your products
Bring governed AI answers into your product experience, connected to live enterprise data and controlled by the same tenant and access rules your app depends on.
Connect AI to enterprise data
Give models, agents, and applications governed access to live data, business context, and permissions through API/MCP integration.
Who it's for
For builders who cannot ship a wrong answer
For teams adding AI chat, embedded AI, or AI data access where answers need to come from governed data, not model guesswork.
Internal data/AI teams
Teams rolling out AI assistants need governed access to live enterprise data, so users can ask questions and get answers grounded in business rules and permissions.
Product teams
Software teams embedding AI into customer-facing products often pair it with embedded analytics, giving users governed answers and insights inside the same product experience.
AI engineering teams
Teams connecting models, agents, and applications to enterprise data get governed API/MCP access without brittle pipelines or exposing raw systems directly.
An AI-ready semantic layer for trusted answers
What Semantic Intelligence is & who it’s built to serve
Traditional BI surfaces dashboards while data connectors move information, but neither solves the AI trust gap. Semantic Intelligence by Simba combines agentic AI with zero data movement, enterprise governance, and real-time governed data access so you can scale adoption with confidence.
Frequently asked questions
What is Semantic Intelligence?
Is Semantic Intelligence its own model, or does it work with mine?
It does not replace models such as Claude, ChatGPT, or Gemini. It gives them trustworthy data when queried and governs that access, acting as a query engine and grounding layer rather than a standalone LLM. The model still writes the language; Semantic Intelligence by Simba makes sure the numbers behind it are real and governed.
Isn't Semantic Intelligence just an advanced RAG tool?
No. RAG retrieves chunks of text to feed a model, which then generates an answer, so it is still guessing. Semantic Intelligence by Simba compiles your question into governed SQL, runs it against live data, and returns the computed result with the query and rows behind it. RAG improves a guess; Simba Intelligence removes the guess.
Is it a BI tool?
No. BI tools visualize data that is already aggregated. Semantic Intelligence by Simba lets AI agents explore live, governed enterprise data safely and return deterministic answers rather than static dashboards.
Why can't I just use my BI tool for this?
Your BI tool is one consumer of data, and no longer the only one. Dashboards, AI assistants, and agents all need the same data, and when each hits raw sources its own way, one question gets four answers. Semantic Intelligence by Simba is the single governed layer they all draw from, so every tool gets the same auditable answer. It does not replace your BI tool; it makes everything work from one source of truth.
How does it prevent hallucinations?
Where can it run?
On-premises, in private cloud, or hybrid, with the same governed intelligence in every deployment model, so data-residency requirements are met by design. It connects to live data through Data Connectivity by Simba, the foundation built on the team that co-created the ODBC standard.
How does it connect to my data?
It connects through Data Connectivity by Simba, querying live enterprise data in place across hundreds of sources, so the AI works from your real data without copies, movement, or brittle pipelines.
