What happened
Keenable, a startup building a web search index for AI agents, has come out of stealth. TechCrunch reports the company raised a $26 million seed round led by Accel.
The team, led by ex-Yandex and Amazon search veteran Andrey Styskin, is building an index of over 100 billion documents. The goal is to provide a new infrastructure layer optimised for AI chatbots and agents, rather than human users.
How the room's reading it
The consensus is that this is a critical infrastructure play. With Google and Microsoft restricting their search APIs, AI labs need a web-scale search solution built for agents. Investors like Accel see a gap in the market — one created by the incumbents' need to avoid cannibalising their core businesses.
Other players like Brave and Exa are chasing the same prize, signalling a wider belief that the old search paradigm is breaking. The chatter on X frames this as a classic innovator's dilemma, where a focused startup can outmanoeuvre a giant on a new, cost-sensitive task like agentic queries.
Sailfish's take
We've shipped enough agents to know the real bottleneck isn't the model's reasoning — it's getting clean, reliable data from a web built for humans. Every agentic workflow we build is brittle because it depends on scraping and parsing fragile UIs. An index designed for machine consumption is a fundamental piece of the stack that's been missing.
This isn't just about better search results. It's about enabling agents to perform complex, multi-step tasks without breaking. We see this as a foundational layer, much like vector databases became for RAG. We're watching their upcoming Web Query Language product very closely.