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Accel-backed Keenable raises $26M to index the web for AI agents

Created at 25 Aug · 1:16 PM1 source↑ Market-relevant
IN SHORT

Keenable, a startup founded by former Yandex and Amazon search executives, has raised $26 million in seed funding to build a web search index optimized for AI agents. The company aims to provide a more cost-efficient alternative to traditional search engines for AI applications.

Key Numbers

$26 millionseed funding raised by Keenable
100 billiondocuments in Keenable's web search index
20 yearsexperience of Andrey Styskin in search at Yandex and Amazon
15engineering staff at Keenable

Who's Involved

Andrey Styskin
Co-founder of Keenable, formerly led Yandex's search, AI, and cloud division
Matthias Petri
Co-founder of Keenable, German AI scientist
Accel
Led the $26 million seed funding round for Keenable
Zhenya Loginov
Accel partner who led the investment in Keenable
Gradium
Voice AI company partnering with Keenable
Accel-backed Keenable raises $26M to index the web for AI agents

↳ Why This Matters

Keenable's emergence highlights a growing need for specialized web infrastructure tailored to the demands of AI agents, potentially shifting the landscape of how AI interacts with and processes information from the internet.

Key facts

  • Keenable has raised $26 million in seed funding.
  • The startup is building a web search index designed for AI agents.
  • Its index contains over 100 billion documents.
  • Keenable's API is currently used by AI labs and inference providers.
  • The company partnered with Gradium to support live information retrieval.

Keenable, a new startup co-founded by former Yandex search executive Andrey Styskin and German AI scientist Matthias Petri, has emerged from stealth with $26 million in seed funding. The round was led by Accel, with participation from Conviction Partners and several business angels. The company is focused on building a web search index specifically designed to serve AI agents, addressing the limitations of current search engines optimized for human users.

Styskin believes that AI chatbots perform better when their responses are grounded in source documents, creating a new search paradigm distinct from traditional human-centric search. Keenable has already built an index of over 100 billion documents, and its API is being used by AI labs and inference providers for both training and runtime purposes. The startup has also partnered with voice AI company Gradium to enable live information retrieval.

Keenable's approach aims to overcome the significant costs associated with scanning the entire internet at scale. Styskin, drawing on his extensive experience in search infrastructure at Yandex and Amazon, explained that specialized index structures are crucial for rapidly narrowing the search space based on a query. This contrasts with enterprise search solutions that can become prohibitively expensive at web scale. Accel partner Zhenya Loginov noted that AI companies have limited options for web-scale search infrastructure, especially as tech giants like Google and Microsoft restrict access to their APIs.

Styskin sees an opportunity to innovate in agentic queries, where smaller companies like Keenable can offer more cost-efficient solutions compared to established players. Despite the high costs of building and maintaining such a large index, Keenable is focused on managing expenses. With a team of 15 engineers, the company plans to double its headcount by the end of the year to support its go-to-market strategy. Keenable aims to become the leading search provider for AI agents, though it faces competition from players like Brave and Exa, as well as Google's own AI-focused search overhauls.

Frequently asked questions

Keenable is addressing the need for web search infrastructure that is optimized for AI agents, rather than human users, as current search engines are not built to efficiently process the large volumes of information AI bots can handle.

Keenable was founded by Andrey Styskin, who previously led Russian search giant Yandex’s search, AI, and cloud division, and German AI scientist Matthias Petri.

The company has built a web search index of more than 100 billion documents and its API is already in use at several AI labs and inference providers.

Keenable's advantage lies in its ability to innovate on search index structures to rapidly narrow the search space based on a query, offering a potentially more cost-efficient solution for AI companies compared to traditional web-scale search.

What Happens Next

01Keenable plans to double its engineering headcount by the end of the year.
02The company will focus on building its go-to-market motion.
03Keenable is developing a product called WebQueryLanguage to help AI systems answer questions by combining information from various web sources.

How It Developed

Keenable, a startup focused on indexing the web for AI agents, has emerged from stealth.
The company secured $26 million in seed funding, led by Accel, with participation from Conviction Partners and business angels.
Keenable is building a web search index of over 100 billion documents.
Its API is already in use at AI labs and inference providers for training and runtime.
Keenable announced a partnership with voice AI company Gradium for live information retrieval.

Sources

T1
Accel-backed Keenable is indexing the web for AI agentsTechCrunch

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