Technology Partner

Vedrai x

From automated RFQ analysis to margin simulation, one structured flow for ETO tenders

A wrong quote doesn’t show in the offer. It shows in the margin that doesn’t add up, or in the tender you shouldn’t have entered.

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Who is

Erre Quadro

Unlock the power of technical data.

Erre Quadro specialises in artificial intelligence applied to the analysis of complex technical documents. Its product, Tech Reveal, automatically extracts and classifies technical, regulatory and commercial requirements from even the most complex RFQs: ISO, IEC, MIL-SPEC, STANAG, dual-use.
Tender documentation in the defence and aerospace sector cannot be read with a model trained on everything. Tech Reveal was built specifically for this context, with vertical training on the terminology and structure of complex industrial technical documents.

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From RFQ analysis to bid decision: the end-to-end flow

BidderAI is not a generic AI document tool: it is a decision system that combines structured analysis of technical documentation with predictive margin modelling.

RFQ prequalification and analysis



BidderAI analyses incoming RFQ content, automatically extracting and classifying technical, regulatory and commercial requirements. MIL-SPEC clauses, dual-use requirements, ISO, IEC, STANAG standards: no requirement missed. From weeks to hours.

Data-driven quotation

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Margin scenario simulation, raw material price benchmarks by product category, ERP integration and tender backlog analysis. Every tender analysed feeds the data for the next one.

Bid / No-Bid decision

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BidderAI produces a synthetic score on attractiveness, risk, margin and technical complexity. The decision to bid stops depending on individual expertise and becomes a structured, defensible and replicable output.

Competitive procurement in ETO tenders

A defense sector system integrator manages over 100 tenders per year, each with hundreds of pages of MIL-SPEC specifications, dual-use requirements, and regulatory attachments. With BidderAI, Tech Reveal automatically analyzes and classifies the documentation for every incoming RFQ. WhAI simulates profitability scenarios based on historical bids, varying cost assumptions and supply mixes, and generates a quantitative bid/no-bid score. The bid office no longer has to start from scratch on every bid: the requirements, costs, and outcomes of previous bids become the starting point for subsequent ones.

-95%

of time spent on document analysis: staff in the bid office are freed up to work on more bids and those with greater strategic value.

+12%

average margin on awarded contracts: pricing scenarios built on real historical data and contextual variables reduce the gap between the offered margin and the final margin.

-90%

of bids with unsustainable pricing: the structured bid/no-bid score allows you to filter opportunities before investing resources in the bid.

“Erre Quadro has chosen to combine its expertise with that of Vedrai because it adds a crucial element to the bidding process: intelligent RFQ drafting and advanced opportunity evaluation. This partnership stems from a strong alignment in technical expertise, methodology, and values: transforming complex data into rapid, reliable, and truly actionable decisions.”

Giacomo Tazzini, CEO Erre Quadro