TenderStrike
TenderStrike is an AI platform for construction bid teams. It reads the full tender pack, specifications, contract clauses, drawings and the priced schedule, then supports the bid/no-bid decision, the cost estimate and the technical submission. Used by more than 70 construction firms.
www.tenderstrike.com
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Bid Lifecycle Solution Map Summary
Covers Capture, Bid & Pursuit, and Proposal. Opportunity scoring, requirement and award-criteria extraction from the ITT pack, costing from the priced schedule against your own rates, and technical drafting from your past bids. Coverage ends at submission: no negotiation or post-award.
Key Features
Discovery: opportunity scoring against your company profile.
Analysis: contract clauses, technical requirements, inconsistencies, version differences.
Quoting: quantities cross-checked against your price library, flash direct cost, subcontract list.
Drafting: technical submission built from your methods and past bids.
Knowledge Hub: your bid memory, sharper each tender.
Company
- Company Name: User Reach SAS
- Primary Office City: Marseille
- Pricing Office State/Province : PACA
- Primary Office Country: France
- Year Established: 2024
- Number of Employees: 1 - 5
- Number of Active Clients: 21 - 50
- Number of Software Products: 1
- Target Client: Business to Business (B2B)
- Target Client Locations: Multi-Region, Asia, Europe, North America, South America
- Minimum User Deployments: 2-5
- Solution Focus: Mix of All
Commercial
- Licensing Model : Enterprise Licensing, Per-feature Licensing, Per-user Licensing, Usage-based Pricing
- Volume Pricing Available: Yes
- Minimum Purchase Required: Minimum Contract Duration
- Customer Success Manager: Included Plus Additional Purchases Available
- Professional Services: Included Plus Additional Purchases Available
- Training: Included Plus Additional Purchases Available
- Implementation Services: Included
- Support: Included
- Maintenance and New Releases: Included
- Billing Frequency: Flexible
Technical
- SaaS: Yes
- Data Centre Provider: Microsoft Azure
- API Available: Yes
Supported Languages
- Albanian
- Arabic
- Bulgarian
- Catalan
- Chinese (Simplified)
- Chinese (Traditional)
- Croatian
- Czech
- Danish
- Dutch
- English (United Kingdom)
- English (United States)
- Estonian
- Filipino
- Finnish
- French (Canada)
- French (France)
- German
- Greek
- Hebrew
- Hungarian
- Icelandic
- Indonesian
- Italian
- Japanese
- Korean
- Latvian
- Lithuanian
- Malay
- Maltese
- Norwegian (Bokmål)
- Polish
- Portuguese (Brazil)
- Portuguese (Portugal)
- Romanian
- Russian
- Serbian (Cyrillic)
- Serbian (Latin script)
- Slovak
- Slovenian
- Spanish
- Spanish (Mexico)
- Swedish
- Turkish
- Ukrainian
- Vietnamese
- Welsh
Key Integrations
FAQs
What is TenderStrike, and what does it do?
TenderStrike is an AI platform that construction companies use to respond to competitive tenders, from capture through to submission. It reads the whole tender pack, instructions to tenderers, specifications, conditions of contract, drawings and the priced schedule, and surfaces what matters for the bid/no-bid decision, the pricing and the technical submission.
It covers five stages:
– Discovery: scores incoming opportunities against your company profile
– Analysis: extracts contractual clauses, technical requirements, compliance obligations, inconsistencies and differences between document versions
– Quoting: pulls project quantities and cross-checks them against your price library
– Drafting: builds the technical submission (mémoire technique in France) from your own methods, variants, certifications and past write-ups
– Knowledge Hub: the company bid memory underneath all of it
It does not manage customer relationships, contract negotiation or post-award delivery. Teams keep their CRM and their estimating package.
TenderStrike is a product of User Reach SAS. Its team has supported more than 70 construction firms, across every trade and tender size.
What tender document types and file formats can AI reliably read?
TenderStrike reads a full tender pack. On French tenders, public and private, it handles the standard set, which maps onto UK equivalents as follows:
– RC (règlement de la consultation) = instructions to tenderers
– CCTP = technical specification and scope of works
– CCAP = particular conditions of contract
– DPGF and BPU = priced schedule and schedule of rates
– Plans = drawings
Formats: PDF including scanned documents, Word, Excel and images. DWG and other 3D model formats are not ingested, so drawings need to be supplied as PDF.
You do not need to clean, rename or reformat anything first. Extraction and structuring happen inside our ingestion pipeline rather than on your side.
The platform interface is available in English, French, German, Spanish, Italian and Portuguese.
Can AI produce a cost estimate from a bill of quantities, or does it only help with the written response?
TenderStrike does both, and the pricing side is where most bid software stops.
It pulls project quantities out of the specification, the drawings and the priced schedule, then cross-checks them against your own price library. The output is a flash estimate of direct cost, plus an automatic list of the items that will need to go to subcontractors or suppliers. Every figure is traceable to the source page it came from.
This is a starting position for the estimator, not a final tender price. It does not replace your estimating package or your supply chain quotes. What it removes is the re-keying: the hours spent lifting quantities out of a PDF and typing them into a pricing tool before any judgement gets applied.
Estimators use it to reach a defensible number early enough for the bid/no-bid decision to rest on something real.
Could using AI to prepare a bid get us disqualified, and do we have to declare it?
Using AI to help prepare a bid is not, by itself, grounds for exclusion under UK or EU rules. The real risk is different. If AI invents a fact that reaches a submission, existing rules on misleading information apply: Schedule 7 of the Procurement Act 2023 lists providing information that is incomplete, inaccurate or misleading as a discretionary exclusion ground, and that has nothing to do with AI.
UK: Cabinet Office PPN 017 (February 2025) gives buyers three example questions about AI use in a tender submission. The guidance is explicit that these must not be scored and are for information only. A buyer can separately ask and score its own AI-related questions where relevant to the requirement.
EU: the AI Act’s transparency obligations applied from 2 August 2026. The text disclosure duty falls on the organisation using the tool, not the software vendor, and covers text published to inform the public on matters of public interest, so a confidential bid to a single buyer is unlikely to be caught.
Practically: record what was AI-assisted and who checked it, and keep confidential tender content out of public AI tools. Correct as of August 2026.
Will our tender documents and prices be used to train your AI models, and where is our data held?
No. Your documents, prices and past bids are never used to train AI models, and nothing you upload is visible to another customer. Each client’s data is isolated.
Your workspace is hosted in Europe under GDPR. Processing calls foundation models from third-party providers under contract, so ask us for the current subprocessor list and data flow documentation. We will send it before you shortlist rather than after.
Role-based permissions mean a site team member and a bid director do not see the same things. SSO, auditing and tracing, and multi-entity deployment with a separate workspace per agency come with the Enterprise tier.
How do you stop the AI inventing facts that end up in a submitted bid?
TenderStrike grounds every output in your own documents and keeps a human in the loop.
It works from the tender pack you uploaded and from your own past bids, methods and references, rather than free-generating from a model’s general knowledge. In the analysis, you open the source document to verify a flag. In the pricing, every figure traces back to the page it came from. A reviewer checks against a cited source instead of hunting for one.
That does not make the output automatically correct, and we do not claim it does. Drafted text in particular is a first draft assembled from your own approved content, and the workflow assumes a bid manager reviews and signs off before anything is submitted.
Contradictions between documents, and differences between versions of the same document, are surfaced rather than smoothed over.
What can a specialist tender tool do that ChatGPT or Copilot with our own documents cannot?
Three things: understand tender document structure, cross-reference your own bid history, and run as a shared workflow.
First, structure. A general model does not know what a DPGF is, how a règlement de la consultation constrains your submission, or which clause creates contractual risk if you accept it in silence.
Second, history. Past bids, methods, certifications, references and prices sit in an indexed workspace, so a technical submission is built from what your company has actually done rather than from plausible-sounding text.
Third, workflow. Sales, design office, administration, legal, site works and management all touch the same tender in the same place, with permissions rather than a shared chat window. None of this replaces the bid manager. It moves their time from document mining to judgement and win strategy.
There is also a practical point: uploading a client’s confidential tender pack into a general consumer AI tool is a data handling decision your legal and procurement teams may not have signed off.
How can AI help decide which construction tenders are worth bidding on?
TenderStrike makes the qualification read fast enough to happen on every opportunity rather than only the obvious ones.
It scores incoming opportunities against your company profile and what you have previously won. On a specific tender it produces a summary sheet and a full bid/no-bid pack in around 10 minutes, against roughly 2 hours by hand: award criteria and weightings, contractual conditions worth flagging, scope boundaries and a first view of cost.
Reported outcomes across the customer base include win rate improvements of up to 28% and around 4 hours saved per tender. One customer, Coefficient, reports 80 or more tenders processed and 50% time saved in the first few months, and its regional director describes doubling bid capacity without adding headcount.
The decision stays with the bid team. What changes is that the team decides on a read of the documents rather than on a skim.
How long does implementation take, and do we need to clean up our document archive first?
No archive clean-up is required, and most teams process their first tender within the first day.
Setup is a single kick-off session. We tell you which documents to send, past bids, methods, certifications and price data, and the structuring happens inside our ingestion pipeline. You do not normalise file names, rebuild folders or rewrite anything first. That work is ours.
One honest caveats. The system gets more useful as it sees more of your history, so month three beats week one.
Day one gives you a working tool. The compounding value comes from feeding it every tender you run afterwards.