Platform for interoperable Enterprise AI on databases
LangGrant continuously brings your organization’s expertise and work you already trust to AI models. Output from AI becomes ongoing analysis, with reusable reasoning to build on.
From existing reports to ongoing analysis
| USER QUESTION | AI ONLY | AI + LANGGRANT + EXISTING WORK |
|---|---|---|
| “Give me the quarterly gross margin report” | Create report from scratch | Create report from proven work · Save reasoning |
| “Why is gross margin down in the Northeast?” | Create analysis from scratch | Create analysis from saved reasoning · Save new reasoning |
| “Why is gross margin up in the Northwest?” and more | Create analysis from scratch again | No analysis creation. Modify reasoning and Run |
| MORE QUESTIONS… | Recreate again | Reuse · Refine · Run |
Connect the databases you already run
Turn reports into ongoing decision intelligence
Start with work you already trust. Ask follow-up questions, refine the reasoning with human expertise, and reuse it for the next analysis.
Automated database context MCP server for your AI stack
Give your AI apps existing schemas, SQL, reports, semantics, and other database work as relevant context—automatically chunked and kept current.
Bring proven enterprise work to AI models
Use existing SQL, reports, policies, semantics, and human expertise instead of asking models to rediscover what your organization already knows.
- Join table supplies on key id with …
- Compare vs. last quarter …
- Decompose the drop by driver …
For business users
AI answers. Human judgment. Reusable decision intelligence.
Ask questions across enterprise data without treating the model’s final response as a black box.
- Apply approved definition of net revenue
- Join sales and cost data
- Compare with previous quarter
- Break margin change down by driver
Deep discounts drove the margin decline.
Explain and defend every result
Show management, teams and stakeholders the data sources, definitions, joins, filters, calculations and assumptions behind the answer.
Review before you rely on it
Correct, annotate, collaborate, approve and version reasoning to reduce exposure to wrong answers, hallucinations and black-box reports.
Build on reasoning already proven
Reuse approved Reasoning Plans for recurring reports, follow-ups, future periods, other users and other models.
Your experts review the reasoning once. Your organization and AI can build on it repeatedly.
For AI developers
Database context on demand for your AI stack
LangGrant supplies compact, current and relevant database context across large schemas, multiple databases and high request volumes.
Intelligent selection and chunking avoids dumping an entire schema into the prompt. LangGrant detects schema changes automatically, caches context and keeps it current for the next request.
One context layer. Any model. Any application that needs to understand your databases.
For technology leaders
Bring AI to the database knowledge your organization already trusts.
Give models proven SQL, stored procedures, application code, data pipelines and documentation as context for new AI analytics. Carry forward established definitions and business semantics, building on years of tested engineering instead of asking AI to rediscover them.
Existing enterprise knowledge
New work, grounded in what you know
Don’t make AI relearn what your organization already knows.
Put AI to work on your databases without throwing away human judgment or what your organization already knows.
See how LangGrant can fit your business users, AI stack and existing database environment.