Database AI Starter

Database AI Starter

Build AI on the database work you already have

Your organization already has years of business logic in reports, SQL, stored procedures and database schemas. LangGrant makes that existing work the starting point for AI apps, agents and analysis.

Reports, SQL, stored procedures and schemas flow through LangGrant to AI apps, autonomous agents and AI analysis. Build on existing work.
What You Already Have

Reports · SQL · Stored Procedures · Schemas

LangGrantBuild on Existing Work
What You Can Build

AI Apps · Autonomous Agents · AI Analysis

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Don’t start your AI projects from scratch

Enterprise database teams have spent years encoding business knowledge. That knowledge already exists in the work they created.

Reports

Accepted metrics, calculations, filters and analytical logic.

SQL

How people actually join, filter and analyze enterprise data.

Stored procedures

Business rules and database logic encoded by engineering teams.

Schemas

The underlying structure and relationships in your data.

LangGrant lets AI build on this existing work instead of forcing every new AI project to reconstruct it.

Your existing database work is already an AI asset

An AI project needs to understand how your data works. Much of that knowledge is already captured in reports, SQL, stored procedures and schemas. LangGrant makes it usable as the starting point for AI.

Start with what already runs the business

Illustrative example

Quarterly Gross Margin Report

The report already encodes the logic your organization relies on.

Source tablesJoinsRevenue definitionCost calculationsProduct groupingsDate logicExclusionsAccepted metrics

Alongside it: analyst SQL, pricing or margin procedures, and schemas for customer, order and product data.

A foundation for new AI capabilities

LangGrant uses this existing work so your application or agent begins with what the organization already knows.

AI app

Answer margin questions from the same database.

Agent

Investigate unusual margin changes automatically.

AI analysis

Explain why Northeast gross margin declined.

Start where your organization already is

  1. Connect existing databases and repositories
  2. LangGrant discovers existing reports, SQL, stored procedures and schemas
  3. Existing work becomes usable by AI
  4. Build AI apps, agents and analysis on top

AI shouldn’t make years of database work obsolete

Your investment in reports, BI systems, SQL development, stored procedures, database design, metrics and business logic can become the foundation for AI. LangGrant helps you build on it instead of recreating it.

Adopt AI without starting over.

Start with the reports people already trust

A report is more than an output. Its definition shows which data matters, how tables are joined, how metrics are calculated, which filters are accepted and how the business interprets the database. LangGrant can use that work for new AI analysis.

Explore AI Report Analyst →

Start building AI on work you already trust

Download LangGrant Free Edition. Start with one database, the work your team already uses, and one AI application or analytical question.

Download Free Edition