Keenable Team
Keenable 1.0: Search at the Speed of AI
Today we’re launching Keenable 1.0, which reached #1 across the main AI web search benchmarks:
#1 on the Artificial Analysis Search Index (BrowseComp, DeepSearchQA and AA-Omniscience)
#1 on NEEDLE for overall search quality. NEEDLE is our open-source benchmark for AI web search, rerun daily on fresh queries.

Keenable reached #1 because it learns. Two months ago, we launched Keenable and opened our Search API to the world. Our conviction was simple: AI agents need access to the world’s knowledge at machine speed. So we built Keenable as a learning machine: a web index that learns from every agent query and gets better with every iteration. Since launch, it has served millions of agent queries, and each one has made it better.
Our engineers learned from that traffic too. Those millions of queries showed us what matters most to agents: authoritative sources, fresh information, and the right context without wasting tokens. So Keenable 1.0 substantially improves source quality and adds two new capabilities:
100 million knowledge cards. A knowledge card is a summary of the key facts on a single topic, frequently refreshed and built using our partners’ APIs. Cards cover the topics agents search for most, so instead of searching and assembling the same information repeatedly, agents can access it instantly.
Dynamic snippets. Keenable reads entire documents and extracts precisely the context agents need, cutting token consumption by 50% on research tasks.
All at machine speed, with answers in hundreds of milliseconds.
“We built Keenable as a learning machine,” said Andrey Styskin, co-founder and CEO. “We’ve run it in public for a couple of months, and it has learned faster than anyone expected.”
Faster access to better information means faster reasoning, faster decisions and more capable agents. Every new account starts with 100,000 requests as a welcome bonus: one key, one MCP endpoint.
Try Keenable 1.0 now: Get started: Keenable Docs



