Accel-backed Keenable is building a web search index tailored for AI agents rather than human users. Unlike traditional search engines, which are optimized for human readability and attention spans, Keenable’s system is designed to process and retrieve vast amounts of information efficiently for AI chatbots and other automated systems. This shift in focus reflects a growing recognition that AI agents require different infrastructure to function effectively, as they can process and analyze data at a scale and speed that humans cannot.

Keenable’s approach is led by Andrey Styskin, who previously oversaw search, AI, and cloud operations at Yandex, a major Russian search company. Styskin has emphasized the importance of grounding AI chatbots in real-world data to improve their accuracy and usefulness. This philosophy is evident in Keenable’s efforts to create a comprehensive index of web content that can be accessed and utilized by AI systems in real time.

Keenable has indexed more than 100 billion documents, according to recent reports, and its API is already being used in production by several AI labs and inference providers. This level of indexing is significantly larger than what traditional search engines typically manage, and it highlights Keenable’s unique approach to data retrieval. The company’s co-founder, Zhenya Loginov, has noted that this creates a new flywheel that diverges from the models traditionally used by companies like Google, which have relied on human behavior patterns to optimize their search algorithms.

The implications of Keenable’s approach are significant for the broader AI industry. By focusing on AI needs rather than human behavior, the company is positioning itself as a key player in the next phase of search technology. This could lead to more accurate and contextually relevant responses from AI chatbots, as they will have access to a more comprehensive and up-to-date index of web content. However, it also raises questions about data privacy, governance, and the potential for vendor lock-in as companies increasingly rely on third-party indexing services.

Keenable is still in the early stages of development, and its long-term impact on the AI industry remains to be seen. The company’s ability to scale its indexing efforts and maintain the accuracy of its data will be critical to its success. As more companies and researchers begin to rely on AI-driven search technologies, Keenable’s role in shaping the future of information retrieval could become increasingly important.