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The race to build foundational layers for artificial intelligence just got another significant boost. Seltz, a company focused on creating the "Web Knowledge Layer for AI Agents," has successfully closed a $12.5M seed funding round.
This capital infusion positions Seltz to further develop its specialized technology, which aims to equip AI agents with a more robust and accessible understanding of web-based information.
In classical web search (think ten-blue-links), the user is the final reranker. They skim titles and snippets, click the one that looks right, and ignore the other nine at no cost, acting as a nearly free relevance filter. For an AI agent, that filter is gone.
Whatever lands in the context window is read and acted on. Every retrieved token costs money and latency, and irrelevant content dilutes attention and can ground the agent's next action in wrong information. Today Seltz announced $12.5M in seed funding to address exactly this problem: building web search specialized for agentic AI, maximizing relevant information per token of context. My work
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