Interoperability platform for Enterprise AI on databases
LangGrant continuously brings your organization’s expertise and work you already trust to AI models. As autonomous agents produce more output, LangGrant turns it into organized, 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 |
AI-powered database analytics on 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
Governed AI analytics. Human judgment. Reusable decision intelligence.
Use natural language database queries to ask business questions across enterprise data. Review the sources, assumptions and reasoning behind each answer.
- 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 reusable AI reasoning
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 for autonomous agents and AI apps
LangGrant supplies autonomous AI agents and applications with 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.
An AI interoperability platform connecting models, agents and applications to the database context they need.
For technology leaders
AI for enterprise data, grounded in knowledge you already trust.
Bring AI analytics to SQL Server, Snowflake, Oracle and other enterprise databases. Give models proven SQL, stored procedures, application code, data pipelines and documentation as context for new analysis. 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.