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AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Natural-language-to-SQL analytics that deploys in your own Azure tenant, letting teams query databases from Teams, Slack or web.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Plain-English to SQL query generation
- ✦Deploys inside your own Azure subscription
- ✦Works in Microsoft Teams, Slack and web chat
- ✦In-chat charts and visualizations
- ✦Connects to SQL Server, PostgreSQL, Snowflake, Redshift, MySQL and more
- ✦Self-service KPI/intent mapping
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Let non-technical staff query corporate data
- →Self-service business analytics
- →Keep data in-tenant for compliance
- →In-chat reporting inside Teams or Slack
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects