In a sector where each tender process requires weeks of work, historical data remains the most underutilized growth lever in the construction industry.

Historical data: an untapped strategic asset in the construction industry

In responding to calls for tenders, the quality of a submission depends as much on technical expertise as on the ability to demonstrate it. A consulting firm that won a similar contract three years ago already has the raw material to produce a superior offer: relevant references, proven methodologies, and quantifiable feedback.

Despite this observation, the majority of industry players rebuild each technical document from scratch. References are selected from memory, and the expertise accumulated over the years remains buried in files that no one consults. The expertise exists, but it is neither structured, nor readily applicable, nor transferable.

It is precisely on this missing link that TenderStrike intervenes.

A SaaS platform to activate business assets

The solution allows design offices, general contractors and consortia to transform their submission history into a systematic production infrastructure.

The platform covers the entire value chain: monitoring European public procurement opportunities, automated analysis of tender documents, data-driven Go/No-Go decisions, structured drafting of technical proposals, and performance tracking. Each step leverages the client's knowledge base (past bids, quotes, certifications, CVs, methodologies) to generate submissions tailored to the market's evaluation criteria.

Measured result among users: an improvement in the success rate of 15 to 25%, and a time freed up by 3 times to focus on high-potential deals.

Artificial intelligence in the service of technical reports

What distinguishes TenderStrike from general-purpose drafting tools is its ability to leverage industry-specific expertise for each new tender document. The AI ​​engine extracts the client's requirements directly from the written and graphic documents of the tender package, then cross-references them with the client's response history.

The system automatically identifies the most relevant past submissions, applicable methodologies, and references to similar projects. It generates a response plan aligned point by point with the scoring criteria and pre-populated with content from previous submissions.

This mechanism eliminates the main obstacle to quality bids: time. Instead of dedicating research staff to drafting documents for days, the team receives a personalized first draft in minutes, which they can then refine and enhance. The system improves with each tender processed, and the benefits accumulate.

A system that capitalizes on: the operational memory of the design office

The construction sector faces structural challenges: increasing complexity of tender documents, pressure on response times, staff turnover, and the associated loss of expertise. In this context, the ability to capitalize on collective experience constitutes a decisive competitive advantage.

By enabling historical data, TenderStrike allows companies to build an operational memory that grows stronger with each submission. Best practices are identified, past mistakes avoided, and new employees immediately access the accumulated expertise.

Responding to public tenders is ceasing to be a craft exercise and is becoming an industrialized, reproducible and measurable process — a true data-driven growth engine.

Presence at the ConstructionTech Village, by Digital Twin | BIM World Paris 2026

TenderStrike will be exhibiting at the ConstructionTech Village, by Digital Twin | BIM World, on April 1st and 2nd, 2026 at Paris Expo Porte de Versailles. This is an opportunity to see the platform in action and discuss the challenges of digitizing bid responses in the construction industry. The event brings together 60 startups, institutional partners (CCCA-BTP, CAPEB, FFB, CFA, Compagnons du Devoir, Action21.fr), and major players in the sector to discuss the digital transformation of construction.