About Keenable
Keenable is independent web search infrastructure for AI, with its own crawler, index, and ranking. It offers an API over an index of more than 100 billion documents for AI labs, inference providers, and chatbot companies.
What is Keenable?
What is Keenable?
Keenable provides web search infrastructure built specifically for AI systems. The company runs its own crawler, index, and ranking, and exposes search through an API that AI agents, inference providers, and chatbot companies can call for grounded answers. TechCrunch reports the index covers more than 100 billion documents.
Its website describes Keenable as independent web search for AI that "gets better the more agents use it." Beyond basic retrieval, the company is developing a Web Query Language intended to help AI systems answer questions by combining information from multiple web sources.
The team is led by Andrey Styskin, who previously led search, AI, and cloud at Yandex and worked at Amazon, and Matthias Petri, an AI scientist who worked with Styskin on Alexa web search infrastructure. TechCrunch describes a team of about 15 engineers across the U.S. and Europe, and a partnership with voice AI company Gradium.
Keenable exited stealth in August 2026 with a $26 million seed round led by Accel, with Conviction Partners and angel investors participating. It is aimed at builders who need search grounding for training or runtime without depending solely on big-tech search APIs.
Pros
- Own crawler, index, and ranking rather than reselling another engine
- Large index of more than 100 billion documents
- API designed for agent and LLM grounding use cases
- Founders have deep web search backgrounds at Yandex and Amazon
Cons
- New entrant competing with established search APIs
- Web Query Language is still in development
- Public pricing and SLA details are limited
How to Use Keenable
- 1Get API access
Sign up on keenable.ai to obtain API credentials.
- 2Integrate search
Call the search API from your agent or LLM pipeline.
- 3Ground responses
Feed retrieved web results into your model for grounded answers.
- 4Monitor and tune
Review result quality and adjust queries for your use case.