Enable AI to Reason Across Multiple Databases
Then save and reuse reasoning that users and agents can execute safely, with trusted and consistent results Data AnalysisKnowledge GraphsCode–Database Compatibility
Oracle, Snowflake, SQL Server, Apache Hive, MySQL, Postgres, Databricks, Salesforce, Redshift, Azure SQL, Aurora, RDS, BigQuery, Trino, Datomic, PrestoSQL, Athena.
AI and analytics experts reason together, iteratively reviewing and modifying each other’s reasoning. Approved, saved reasoning runs repeatedly, and the results are shared with customers.
Enterprise memory
Auto discovered semantics
Smarter with each use
Knowledge graphs
Connect business concepts, relationships, and database context.
Enterprise reasoning
Saved, reusable reasoning
Same question → saved reasoning is executed.
Similar question → saved reasoning is modified by AI or humans.
Human managed
Experts review, refine, approve
Version and ship reasoning like code
Track changes and promote reasoning from test to production.
Secure reasoning execution
Only human-refined and approved reasoning executes against your database.
LangGrant supports the Enterprise Reasoning open standard (opens in a new tab).
MAKE AI ANALYSIS REUSABLE
AI analysis is already happening. Can your team reuse the work?
When answers stay in individual AI sessions, people repeat the same reasoning and get different results. LangGrant saves useful reasoning for experts to review and approve, then teams can run it again.
Governed AI analysis
Let business users run approved analysis while experts retain control of the reasoning.
See the review-to-execution workflow →Cross-database reasoning
Answer one question using relationships and business context from multiple databases, without consolidating the data.
Walk through a cross-database question →Knowledge graph creation
Let AI discover candidate relationships across databases, then have experts review and approve them.
Discuss a knowledge graph pilot →Supported databases & data platforms
Snowflake
Oracle
SQL Server
Apache Hive
MySQL
Postgres
Databricks
Salesforce
Amazon Redshift
Azure SQL
Amazon Aurora
Amazon RDS
Google BigQuery
Trino
Datomic
PrestoSQL
Amazon Athena
01 / KNOWLEDGE THAT COMPOUNDS
AI analysis that gets
smarter with every use.
Start with what your organization already knows.
Keep what AI discovers. Reuse both on the next question.
Schema · SQL · Reports
Semantics · Relationships
Context + semantics + approved reasoning
02 / YOUR EXISTING KNOWLEDGE, ACTIVATED
Don’t make AI reinvent
what already works.
Your existing investment becomes context for AI.
03 / RIGHT WHERE YOU WORK
Your databases.
Your AI.
Your environment.
movement.
LangGrant works with your existing enterprise databases and approved AI models. No need to move your data into a new analytics platform.
PUT YOUR NEXT ANSWER TO WORK.
Stop making AI
start over.
Give Claude, Codex and your AI agents an enterprise memory.