Building the best search for AI
LLMs are guessing more than reasoning. That’s a context problem, learn how we are solving that.

Search and Deep Research for AI knowledge work.
AI is changing how knowledge work gets done. Coding made the pattern visible first. Complex work is being broken into steps that agents can plan, run, check, and improve. The same pattern is now moving into finance, science, professional services, legal, government, R&D, and enterprise research. Across these domains, more work is becoming agentic: find what matters, read it, compare it, extract the right details, and carry the right context forward. Valyu gives those agents access to the search and context they need across the web, specialist sources, licensed content, proprietary collections, and primary material.
Our starting point was the systems layer.
Valyu was started by a team that had already spent years working across information retrieval, machine learning systems, enterprise data, and agentic search. That background shaped the product. We were not trying to build another search box. We were working from the harder systems problem underneath it: how AI systems find, retrieve, rank, and use knowledge reliably inside real workflows. That means dealing with scale, specialist content, proprietary collections, messy formats, demanding users, and production environments where the answer has to hold up.
Used where source quality matters.
Valyu is used by teams building AI systems for science, finance, research, and enterprise knowledge work. We work with publishers and content owners who understand that high-value knowledge needs to become usable by AI systems, including material that does not live cleanly on the open web. Valyu DeepResearch ranks first on DRACO, an expert-rubric benchmark for professional knowledge-work tasks, with 72.7% accuracy and roughly half the per-task cost of the next closest system.
Knowledge amplifies intelligence.
Better access to knowledge, and the right context from it, makes better AI systems possible. If you are building agents for serious research, analysis, or knowledge work, we would love to hear from you.
Running inside real AI products.





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