No black box. Here is exactly where our data comes from, how we decide what's relevant to you, and what we do and don't claim.
We ingest procurement notices from sources that buyers are legally required to publish to — principally the EU's Tenders Electronic Daily (TED), which covers above-threshold notices across 30+ European countries, plus national portals such as Switzerland's SIMAP. We normalise dozens of formats, taxonomies and languages into one clean, cross-border feed. We never scrape private data, and the tender information we show is public by law.
Each notice is scored against your firm's profile on four signals: CPV category overlap (the procurement classification of the work), capability keywords from what you do, language, and geography — your chosen scope (Switzerland, DACH, or all of Europe) defines your tender universe, and tenders in your home market are weighted up. The result is a 0–100 fit score with a plain-language reason, so you can judge every match yourself. Our baseline model runs on every account; the full AI relevance model reads the complete notice text and is part of paid plans.
Public procurement uniquely discloses outcomes. We accumulate award notices across Europe — buyer, winning supplier, contract value, procedure and location — into a growing, resolved knowledge graph. This is what lets us go beyond alerts toward realistic bid/no-bid guidance and price benchmarks over time. The dataset is append-only and grows every day.
We surface every winnable tender in your scope and give you a strong first draft — but we don't guarantee you'll win, and we can't promise a public body's own portal is always reachable. AI-generated drafts are a starting point, human-reviewed by design; every claim cites its source in the notice, and you approve everything before submission. Where a specific notice can't be reached, we show its official reference so you always have a path to it.
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