LangGrant

Enable AI to Reason Across Multiple Existing 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, DB2.

Reason once, use repeatedly

AI and experts reason together across Oracle, Amazon Aurora, and PostgreSQL. Approved, saved reasoning runs repeatedly, and the results are shared with customers.

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Enterprise memory

Cached database context

Schemas, report assets, SQL, Skills

More

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
• DB2

01 / KNOWLEDGE THAT COMPOUNDS

AI analysis that getssmarter with every use.

Start with what your organization already knows.
Keep what AI discovers. Reuse both on the next question.

START WITH CONTEXT What you know

Schema · SQL · Reports

KEEP WHAT YOU LEARN What AI discovers

Semantics · Relationships

REUSE ON THE NEXT QUESTION Enterprise Memory

Context + semantics + approved reasoning

02 / YOUR EXISTING KNOWLEDGE, ACTIVATED

Don’t make AI reinventwhat already works.

Your existing investment becomes context for AI.

SQLReportsDatabase schemaBusiness definitionsSkills

03 / RIGHT WHERE YOU WORK

Your databases.Your AI.Your environment.

BUILT AROUND YOUR ENVIRONMENT Zero data
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 AIstart over.

Give Claude, Codex and your AI agents an enterprise memory.