Editorial illustration for Accel-Backed Keenable Builds Web Index for AI Agents
Accel-Backed Keenable Builds Web Index for AI Agents
Keenable came out of stealth this week with $26 million in seed funding, led by Accel with participation from Conviction Partners and a handful of angels. The startup is building a search index meant for AI agents rather than humans, on the theory that Google's decades of ranking pages for human eyeballs don't translate well to chatbots that can ingest and process far more text at once. The company, co-founded by Andrey Styskin, who ran search, AI and cloud at Yandex, and German AI scientist Matthias Petri, says its index already covers more than 100 billion documents.
Its API is running in production at several AI labs and inference providers, both for training models and for live queries, though Keenable declined to name which ones. One partnership it has confirmed: voice AI company Gradium, which uses Keenable for live information retrieval. Styskin argues that chatbots produce better answers when they can point to source documents, and that this need is creating a different kind of demand loop than the one Google spent years optimizing around human click behavior.
Styskin's background, 20 years building search infrastructure at Yandex and Amazon, shapes how he positions Keenable against existing enterprise search tools.
Keenable says it has been building a web search index of more than 100 billion documents, and its API is already used in production at several AI labs and inference providers during both training and runtime.
Why this matters
Keenable's bet is that the web's plumbing was built for eyeballs, not for agents that can chew through thousands of pages in seconds, and that gap is now a business opportunity. Styskin's Yandex pedigree matters here: search infrastructure at that scale is hard to fake, and Accel's Loginov is candid that the field is thin because Google and Microsoft are actively closing off their APIs rather than opening them up. That's the part worth watching.
If the companies that own the most comprehensive indexes of the web decide agent traffic is a threat to their ad businesses rather than a new customer base, startups like Keenable become the only real option for anyone building agents that need to read the live web instead of stale scraped data. For developers, that's a dependency worth tracking closely: infrastructure built by a startup is a different risk profile than infrastructure built by Google. We'd want to see pricing, rate limits, and freshness guarantees before treating this as settled plumbing.
Further Reading
- Accel-backed Keenable is indexing the web for AI agents - TechCrunch
- Exclusive: Seltz, a startup rebuilding web search for AI agents, raises $12.5 million in seed funding - Fortune
- Parag Agrawal's startup raises $100M to build a parallel web for AI agents - SiliconANGLE
- Parallel Web Systems, the AI startup from former Twitter CEO Parag Agrawal, has secured $100 million in a Series A round - CyberNewsCentre
- Keenable.ai — web search for AI agents - Keenable