Description
Falconer is a self-updating knowledge platform, a company brain, built for high-speed engineering teams. It writes documentation from a company's existing code, tickets, and conversations, keeps that documentation current as the codebase changes, and answers questions with cited answers drawn from real sources, so people don't have to interrupt an engineer to find out how something works.
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Unlike a wiki that stores whatever was true when a page was written, Falconer ties documentation to the code itself. It watches GitHub, detects when a pull request affects existing docs, and proposes updates before knowledge drifts. It maps a company's knowledge graph automatically with no manual tagging, flags docs that have gone stale, and serves grounded, cited context to AI coding agents through an MCP server, so tools like Claude Code and Cursor can read, search, create, and update docs in the knowledge base.
Falconer answers where work already happens, in the web app, Slack, the code editor, or through AI tools over MCP, and is used by everyone who needs engineering knowledge, including PMs, support, ops, and new hires. It connects to GitHub, Linear, Notion, Confluence, Google Drive, Slack, Zendesk, Gmail, and external MCP servers, and can automatically migrate existing Confluence or Notion docs, with most teams fully running the same day.
Built with enterprise-grade security, Falconer is SOC 2 Type II certified, HIPAA compliant, encrypts data in transit and at rest, isolates each organization's data, never uses customer data to train AI models, and offers multi-tenant SaaS, managed single-tenant, and self-hosted deployment options. Pricing includes a free Starter plan (up to 3 users, with the MCP and API), Pro at $20-$25/user/month, and custom Enterprise, with a Pro trial for new organizations.
- CategoryAI Knowledge Management
- Pricing ModelFreemium
- DeploymentCloud, Self-hosted
- PlatformsWeb
Falconer's Core Features
AI that writes documentation from code, tickets, and conversations
Docs tied to the codebase that update as code changes
Automatic knowledge-graph mapping and stale-doc detection
Cited answers in the web app, Slack, editor, or over MCP
MCP server so agents like Claude Code and Cursor read and write docs
Integrations with GitHub, Linear, Notion, Confluence, Slack, and more
Automatic Confluence and Notion migration
Enterprise security with SOC 2 Type II, HIPAA, and self-hosting options
How to use Falconer?
Connect sources: Link your GitHub repos, Slack workspace, and existing docs.
Auto-index: Falconer indexes your sources and maps your knowledge graph automatically.
Ask: Query in the web app, Slack, your editor, or through AI tools over MCP.
Get cited answers: Receive answers drawn from your real code, tickets, and threads.
Stay current: Review the doc updates Falconer proposes when a PR affects existing docs.
Falconer's Use Cases
- Self-updating engineering docs
- Grounding AI coding agents
- Faster onboarding
- Answers for non-engineers
- Replacing stale wikis
