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Pagefifty uses an LLM to flag EU tender criteria a small IT firm may fail

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A hackathon project called Pagefifty scans recent IT tender notices from TED, the EU procurement database, for buyers in the Netherlands, Belgium and Germany. NVIDIA's Nemotron 3 Super model extracts selection criteria as typed requirements, each with a supporting quote. Code then checks every quote against the source text word for word and refuses any it cannot find, so only verified clauses drive the result. Each lot is labelled Go, Not met alone or Ask first, with the deciding clause shown and a link to the notice. Of 323 notices, 123 published no selection criteria in the notice itself, so those are marked Ask first for now.

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