Falconer AI Company
Falconer is building an autonomous workspace and a reliable source of truth for high-speed teams, automating context management and productivity tasks through a self-updating knowledge platform.
At a Glance
- Engineering teams
- High-growth startups
- Technology companies
AI Tools by Falconer AI Company
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Falconer
AI Docs for Dev Teams
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Latest News
Falconer raises $5M Seed round to build the AI-powered engineering knowledge platform.
Falconer announces hiring for Founding AI Engineering team in San Francisco.
Introducing Falconer: Single Source of Truth for Company Knowledge.
Products & Services
An AI-native self-updating knowledge platform and company brain designed for high-speed engineering teams.
Market Position
Falconer distinguishes itself by being 'AI-native' and 'self-updating,' focusing on preventing documentation drift from codebase changes, unlike static legacy documentation tools.
Leadership
Founders
David Nunez
Co-founder and CEO of Falconer. Former Head of Documentation at Stripe, former Head of Information Platform at Uber, and former staff at Meta GenAI. Holds a BA in English from UCSB.
Nate Kohari
Co-founder of Falconer. Former Staff Software Engineer at Stripe. Founder of Apprenda (acquired by CloudBees), CTO of Adzerk and AgileZen, and author of Ninject.
Executive Team
David Nunez
CEO & Co-founder
Former Head of Docs at Stripe and Head of Information Platform at Uber.
Nate Kohari
Co-founder
Former Staff Engineer at Stripe and founder of Apprenda.
Founding Story
Falconer was started by team members from Stripe and Uber who experienced the friction of missing context and inaccurate documentation while scaling products. They built internal tools at those companies to solve these problems and founded Falconer to provide even better versions for all organizations.
Business Model
Revenue Model
Subscription-based (SaaS)
Pricing Tiers
Best for understanding and documenting codebases. Includes GitHub integration, 1 doc set, Slack integration, Linear integration, and answer engine.
Best for existing content sources. Includes multiple doc sets, Google Drive/Confluence integrations, API/webhooks, and Falconer MCP.
For large organizations. Includes SSO, SAML, priority support, white-glove migration, and self-hosted options.
Target Markets
- Engineering teams
- High-growth startups
- Technology companies
- Scaling engineering teams with clear documentation
- Maintaining a central source of truth for docs and code
- Providing accurate context for AI coding agents
- Automating documentation maintenance
- Thatch
- Payabli
- Middesk