LangGrant

Already building this? LangGrant fits in.

LangGrant is a control plane, not another agent. It doesn’t replace the AI work you’ve started — it gives that work an artifact you can govern, reuse and trust.

“We already have an AI agent / product.”

Keep it. Your agent calls LangGrant’s tools and emits aReasoning Planinstead of disposable code. LangGrant governs, versions and reuses what your agents produce — not a competing agent.

“We’re building a semantic model, then migrating to a warehouse to query it.”

That’s a long project. LangGrant builds semanticsautomatically with each questionand runs on your databases as-is — no migration required to get governed answers now. When the warehouse is ready, the same plans recompile to run there.

“We’re already building an MCP server and tools.”

Good — that’s exactly where LangGrant plugs in. Your MCP tools produce aversioned, reviewable Reasoning Plan your pipeline can promotethrough stages — so the output of your MCP work is an asset you can govern, run by API and reuse.

“We’re building an ‘ask the database’ tool that generates SQL.”

That tool gives you an answer. LangGrant gives you aversioned plan you can review, promote through stages, and re-run by API— the SQL becomes a compiled artifact inside the plan, so your team manages the pipeline, not one-off queries.