TenderCrunch

TenderCrunch positions itself as an "AI Bid Intelligence" platform for companies that answer public contracts and private tenders. Rather than treating a response as one long document, it breaks the process into stages: analyze the tender file, decide whether to bid, draft the technical memo, answer the questionnaires and coordinate the people involved. The healthiest signal in the workflow is that a human always makes the call — as the product says, the AI produces, your experts decide.

The analysis module ingests the full tender dossier (RC, CCAP, CCTP and annexes), extracts key dates, penalties and guarantees and flags watch points clause by clause. These are compared against your own qualification criteria to build a Go/No-Go summary sheet, so a bid is never approved on gut feeling alone. For the technical memo, the outline mirrors the buyer's evaluation criteria and their weighting, and each section is drafted from the knowledge base with citations back to the exact source.

On the operational side, TenderCrunch centralizes past memos, methodologies, certifications and buyer Q&A into a semantically searchable base, and adds collaboration features: assignment by section, limited access for external contributors, and real-time dashboards per tender and per requirement. Everything is hosted in France, aligned with SecNumCloud and GDPR, and your documents are never used to train third-party models.