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Agentic web search infrastructure startup Keenable raises $26M

Artificial intelligence startup Keenable.ai Inc. said today it’s launching with $26 million in funding to try to revamp a web search infrastructure that was built for humans, not the billions of autonomous agents that many believe will soon dominate the internet. The seed round was backed by investors including Accel, Brightwing Capital, Conviction Partners and […] The post Agentic web search…

Agentic web search infrastructure startup Keenable raises $26M

AI startup Keenable.ai Inc. has secured $26 million in seed funding to revolutionize web search infrastructure for autonomous agents, according to a press release. The round was led by Accel, Brightwing Capital, Conviction Partners, and scOp Venture Capital, with participation from Google and Amazon executives acting as angels. Keenable has created an independent web search index containing over 100 billion documents, optimized for the low-latency, high-frequency queries typical of AI agents.

It offers APIs to support natural language searches and content fetching, delivering model-ready inputs with minimal delay. Priced at $1 per 1,000 API requests, its services cater to "frontier-scale" users. The startup also provides point-in-time historical queries, enabling models to search the internet as it existed at a specific time.

Keenable's co-founders, Andrey Styskin and Matthias Petri, have former experience at Yandex and Amazon AGI, respectively. Styskin explains that fine-tuning index structures for specific tasks is crucial to reducing the cost of serving and scanning the entire internet, which Keenable aims to address. The company asserts its search results are superior to those of agentic search rivals such as Tavily, Exa Labs Inc., and Perplexity AI Inc., in terms of relevance and clean information optimized for AI agents. Keenable's go-to-market strategy now includes doubling its headcount from 15 employees.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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