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ActiveBrowser Layer for AI agents
Spring 2026Founded 20264 peopleSan Francisco, CA, USA
AI insightcan contain mistakes
AI Agent Browser LayerAPI/InfraAI platforms, agent developers, automation companiesMedium competition
Moat
Proprietary knowledge graph of web semantics; LLM-native web protocol; developer adoption network.
Key risk
Web complexity high (dynamic rendering, CAPTCHA); site legal/ToS risk; competition from browser automation.
Why now
Agents need web control; visual scraping brittle; semantic web protocol enabling at-scale agent automation.
Competitors
Selenium, Playwright, Puppeteer, Robotic Process Automation tools
About
We are making the browser layer for your AI agents. Agents don’t need to see UIs like us humans do. We give agents a semantic understanding of the web instead of brittle visual interfaces. Your agents can perform deep research, large-scale scraping, and complex automation—more efficiently with our knowledge graphs that turns the web into a native protocol for LLMs.
Founders · 4
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