Keenable Raises $26M to Build Web Indexing Infrastructure for AI Agents
Keenable, a startup founded by former Yandex executive Andrey Styskin and German AI scientist Matthias Petri, has emerged from stealth with $26 million in seed funding led by Accel. The company is building web search infrastructure optimized specifically for AI agents rather than human users. Keenable claims to have indexed over 100 billion documents and already provides its API to several AI labs and inference providers during training and runtime. Styskin emphasizes the need for a new approach to indexing, as traditional enterprise solutions are not scalable or cost-effective at web scale. The startup is developing proprietary retrieval capabilities, including an upcoming product called Web Query Language that will help AI systems combine information from multiple sources. Despite high costs associated with building and maintaining such infrastructure, Keenable aims to offer more efficient alternatives for agentic queries. The funding round highlights a growing need in the market as Google and Microsoft are reportedly limiting access to their search APIs. With plans to double its engineering team by year-end, Keenable is positioning itself as an alternative web-scale solution tailored specifically for AI applications.
Topics: AI funding infrastructure search engines startups