Keenable Emerges from Stealth with $26M to Build Web’s AI-Native Search Engine
A new startup, Keenable, is aiming to revolutionize web search by building an index specifically designed for artificial intelligence agents, rather than human users. Founded by Andrey Styskin, formerly of Yandex’s search and AI divisions, and Matthias Petri, a German AI scientist, Keenable has secured $26 million in seed funding. The round was led by Accel, with participation from Conviction Partners and several angel investors.
The core premise behind Keenable is that current web search infrastructure, optimized for human attention spans, is ill-suited for AI chatbots. These AI agents can process vast amounts of information, and their effectiveness is significantly enhanced when they can ground their responses in source documents. Keenable’s approach aims to create a new search paradigm, distinct from the human-centric model pioneered by Google.
Keenable has reportedly built a web search index encompassing over 100 billion documents. Its API is already being utilized by several AI labs and inference providers for both training and real-time operations. While customer details remain undisclosed, the company has announced a partnership with voice AI firm Gradium to facilitate live information retrieval. Styskin, drawing on his extensive experience in search at Yandex and Amazon, highlighted that Keenable’s solution differs from costly enterprise search systems, offering a more efficient way to narrow down search spaces for AI queries.
The move comes at a time when major tech players like Google and Microsoft are re-evaluating their public search APIs, potentially limiting access and pushing for more integrated, partner-specific solutions. This strategic shift by tech giants, according to Accel partner Zhenya Loginov, underscores the growing need for AI-focused web search infrastructure. Keenable’s vision, fueled by Styskin’s prior work on AI applications like Alexa at Amazon and observations of increasing AI crawler traffic, positions it to address this emerging market gap.
Key Takeaways
- Keenable, a new startup, has raised $26 million in seed funding to develop a web search index tailored for AI agents.
- The company aims to address the limitations of human-optimized search engines for AI chatbots, which require processing large volumes of information.
- Keenable's approach focuses on cost-efficiency and speed in serving AI queries, differentiating it from traditional search giants and enterprise solutions.
Editor’s Analysis & Impact
Keenable’s emergence highlights a significant shift in how information will be accessed and processed online. As AI agents become more sophisticated, the demand for infrastructure that caters specifically to their needs is rapidly growing. The substantial seed funding indicates strong investor confidence in this vision. The challenge for Keenable will be scaling its massive index while maintaining cost-effectiveness and competing with established players like Google, who are also adapting their search offerings for the AI era. Success could redefine the internet’s architecture, moving beyond human-centric navigation to an agent-driven ecosystem.
Frequently Asked Questions
Q: What is Keenable's primary goal?
A: Keenable's primary goal is to build a web search index and infrastructure specifically designed for AI agents, enabling them to efficiently retrieve and process information for tasks and responses.
Q: Why is a new search index needed for AI agents?
A: Current search engines are optimized for human users who scan limited content. AI agents can process much larger datasets, and a dedicated index can provide them with more relevant, grounded information faster and more cost-effectively than traditional methods.
Q: Who are Keenable's main competitors?
A: While Keenable is building a new category, potential competitors include established search giants like Google and Microsoft as they adapt their services for AI, as well as other emerging players in the AI search space such as Brave and Exa.