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AI for Tender Analysis

Read every tender in minutes.

400 pages Read cover to cover, risk to risk.
4 minutes What used to take two days.
Any language No reformatting, no delays.
No guessing Every bid backed by a clear yes or no.

What tender managers tell us on the first call

  1. You spend 2–3 days reading a tender package before you even know if it's worth bidding.
  2. You've lost a contract because of a disqualification clause buried on page 290 that nobody caught.
  3. Your lawyer reviews every document at €200/hr, including the tenders you don't end up bidding on.
  4. You're tracking 15 active tenders across three countries in four languages, and something always slips.
  5. The portal publishes amendments 48 hours before the deadline, and your team finds out when someone checks manually.
  6. You write bid responses from scratch each time because nobody has time to maintain a library of past answers.

You won't know why you lost until it's too late

The risk is submitting a disqualified bid and not knowing why until the results come out.

See a live demo

Your legal and tender team stops reading, but starts deciding

Every risk surfaces before you commit

Every risk surfaces before you commit

Penalty clauses, contradictory terms, and unusual liability caps are flagged with the exact page and paragraph
Your company profile is checked against every requirement

Your company profile is checked against every requirement

Certifications, financial thresholds, and reference contracts are cross-checked against tender eligibility criteria automatically
One summary to bid or pass

One summary to bid or pass

Every tender produces a structured decision brief: eligibility status, risks ranked by severity, missing documents, deadline map
Any language, any format, any structure

Any language, any format, any structure

Polish SIWZ, German Vergabeunterlagen, EU framework tenders, and scanned PDFs are processed without reformatting on your side
Amendments are effective as of the hour they're published

Amendments are effective as of the hour they're published

The system monitors your active tenders and alerts your team the moment something changes
Bid library that learns from every submission

Bid library that learns from every submission

When a new tender matches a previous one, the AI drafts relevant sections from your existing answers

What changes

4 min

to read and analyse a 400-page tender package

-68%

legal review time per tender

Up to 3.7×

more tenders reviewed per month with the same team

Zero

disqualifications from missed eligibility clauses since implementation

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From tender publication to bid decision in under an hour

Tender detected or uploaded

The system monitors procurement portals and picks up new tenders matching your criteria, or your team uploads a package directly.

Full document package read in minutes

Every file is processed simultaneously: base document, technical specs, financial schedules, draft contract, all annexes.

Company profile matched against requirements

Certifications, financials, reference contracts checked against stored company data, with gaps flagged at the exact requirement they relate to.

Decision brief delivered to your team

Eligibility status, risk register, document checklist, and submission deadline map, ready for the decision meeting.

Bid drafted from your existing library

Relevant sections from past submissions assembled into a first draft mapped to the tender's response structure.

What tender managers ask before they agree to a demo

  • "Our tenders are confidential. We can't send them to a cloud system."

    The system runs inside your own infrastructure: no document leaves your network, and your legal team can review the full architecture before you run a single file through it.

  • "We already have lawyers reviewing everything. Why add another layer?"

    Your lawyers review a 2-page risk brief instead of a 400-page document: their time shifts from reading to judgement, which is what you're paying for.

  • "We bid on very specialised technical tenders. Generic AI won't understand the domain."

    The system is trained on your past tenders and bid library before going live: by the tenth tender, it knows what a normal penalty clause looks like in your sector and what an unusual one looks like.

  • "Tools like this summarise well but miss the details that actually matter."

    We'll run your last three lost or disqualified bids through it during the demo: so you can see what it would have caught, with the exact page references.

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Case study

From 3 tenders reviewed per month to 11

Client

A mid-sized engineering and equipment supply company active in public procurement across Poland, Germany, and the Baltic states.

The problem

Each tender package took 2–3 days of combined legal and tender manager time, the team was at capacity, and two years prior, they had been disqualified from a €3.4M contract over a reference format requirement missed during preparation.

What we built

AI integration with ProZorro and TED monitoring, automatic eligibility cross-check against stored company data, and a structured decision brief delivered within 15 minutes of each tender's publication.

What our clients say

"We used to spend Tuesday and Wednesday every week just deciding which tenders to bid on. Now that decision takes a morning."

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15 min

from tender publication to decision brief, down from 2–3 days

3 → 11

tenders reviewed per month with the same team

-68%

legal review hours per tender

0

disqualifications from missed eligibility clauses in 14 months
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