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Web search infrastructure for AI applications
linkup.soLast updated
In short: Linkup raised $10M seed funding, launched a sub-200ms Flash search API, and released an open-source SPARSEUP model.
The article details five tests for sovereignty, questions for retrieval providers, and how Linkup offers regional processing with zero data retention to ensure compliance.
The service delivers sub-200ms median latency on SimpleQA benchmarks. It targets real-time voice AI, deep research workflows, and reinforcement learning applications.
A coding agent tuned a sparse embedding pipeline using roofline analysis and one-change-at-a-time experiments to boost performance from 4% to 25% MFU.
New features include Pro Mode for harder pages, structured JSON output, and support for PDFs up to 100MB.
Compare Web Search API providers Ceramic.ai, Exa, and Linkup, including Zero Data Retention terms and list API pricing.
Linkup, a platform that enables AI products to search and retrieve real-time information from the web, has raised a $10 million seed round led by...
Linkup, a San Francisco, CA-based developer of a web search and retrieval platform for AI products, raised $10m in Seed funding...
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