keenable

Keenable is a research-driven AI infrastructure company focused on web search and knowledge access for large-scale AI applications. We build systems and new retrieval primitives that make web-scale information accessible to models. We provide these systems to AI labs, inference platforms, and researchers.

Keenable is founded on the belief that AI systems should have frictionless access to the world's constantly growing knowledge, and support its further growth. Today, this isn't the case. While agents are becoming more autonomous, they're still not good at accessing the web. In fairness, it's not their fault. We've given them clunky, expensive, human-optimized web access tools, namely "10 blue links" search APIs and slow fetch APIs. Accordingly, they're optimized to access web knowledge sparingly.

Keenable aims to remove that bottleneck. Agents should never think twice about querying the web. They shouldn't have to jam dozens of intents into a kitchen sink query. Models should be able to access web knowledge cheaply, as if it were parametric knowledge. They need novel, performant methods for retrieving web content. This is our charter.

To achieve this goal, we are building the largest independent web index in the world and researching new access paradigms for better interoperability with AI systems.

We don't currently offer any public APIs. If you have a need for large-scale, low-latency web access APIs, please contact us.

We are hiring. If you are interested in joining our team, please see our Careers page.


kitchen sink query
/ˈkɪtʃ.ɪn sɪŋk ˈkwɪə.ri/
noun

  1. A web search query that's overloaded with intents, commonly observed when agents try to jam every term into a single query to optimize for recall and cost. "Wow, my agent threw the kitchen sink at that one: snowflake databricks clickhouse revenue headcount ipo fundraising 2021 2022 2023 2024 2025 series A B C D E F G"