Google · Amazon · Russia · Germany · TechCrunch AI
According to Accel partner Zhenya Loginov, who led the investment
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To Styskin, these decisions confirmed the opportunity he saw when he was at Amazon, working with Petri on web search infrastructure for AI applications such as Alexa.
Key facts
- The company recently came out of stealth with $26 million in seed funding
- Andrey Styskin, who previously led Russian search giant Yandex’s search, AI, and cloud division, and German AI scientist Matthias Petri are working to solve that problem with their new startup
- Keenable says it has been building a web search index of more than 100 billion documents, and its API is already used in production at several AI labs and inference providers during both training
- From Styskin’s perspective, AI chatbots tend to do much better if they can ground their responses with source documents
Summary
Search engines were built and optimized for people, who can’t spare the time or attention required to scan entire web pages. Andrey Styskin, who previously led Russian search giant Yandex’s search, AI, and cloud division, and German AI scientist Matthias Petri are working to solve that problem with their new startup, Keenable. From Styskin’s perspective, AI chatbots tend to do much better if they can ground their responses with source documents. Keenable says it has been building a web search index of more than 100 billion documents, and its API is already used in production at several AI labs and inference providers during both training and runtime. Drawing from his experience of 20 years building search at Yandex and Amazon, Styskin explained how Keenable’s product is different from enterprise search solutions that can break down and prove costly at web scale.