Seltz raises $12.5M to build web search infrastructure for AI agents

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What happened

Seltz raised a $12.5 million seed round led by Speedinvest and B Capital. The company built a full stack of its own, including a crawler, index, retrieval models, and ranking, rather than wrapping an existing search engine.

Seltz says it crawls hundreds of millions of pages per day and returns results in under 200 milliseconds. It positions the product as a Web Knowledge API optimized for AI systems, and competes with Parallel and Exa.

Why it matters

Agents query the web differently than people, issuing many machine-driven searches that reward structured, low-latency results over ranked blue links. Consumer search engines were not built for that pattern.

Building the full stack rather than reselling one is a bet that agent-native retrieval is a distinct category worth owning end to end.

MintedBrain take

Agent-oriented search can cut latency and cleanup work compared with scraping consumer results. Evaluate coverage and freshness against your use case, since a purpose-built index trades breadth for speed and structure.

References

This article was originally published at Tech Startups. For the full piece, read the original article.

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