
Example bid review report
Disqualification traps
One missed clause or certificate can disqualify you before merit evaluation.
Contradictions across volumes
Technical claims drift between annexes and appendices. They are easy to miss under deadline pressure.
Last-minute approvals
Legal, QA, and engineering need a fast, clear view of what's missing.
Clear review trail
Keep a structured record of requirement checks, open issues, and supporting evidence before submission.
Requirements, then the clarifications you send, then the finished bid checked against the same list.
Day 1
The package arrives. We extract the requirements, missing documents, and conflicts, each cited to its page, so you start from a list you can work from.
Learn moreDuring bidding
Flag what is unclear and what you cannot meet as written. Send TQs and deviations from the same list; answers fold back in so nothing is rebuilt by hand.
Learn moreBefore submission
Check the finished bid against every requirement. We mark covered, mismatch, missing, or extra while there is still time to fix it.
Learn moreYour bid reviewed against the specific requirements and technical specifications defined in your ITT package. Issues the AI aims to find include:
Missing evidence or expired certificates requested by the buyer.
Claims that conflict across documents.
Deviations from the buyer's stated technical specifications.
Missing or inadequately addressed information required by the ITT.
Requirements that contradict each other across volumes, annexes, or amendments.
Unclear scope, undefined terms, or obligations open to competing readings.
Terms that affect price, liability, or schedule in the ITT.
Explanations & Sources
Findings include explanations and sources.
Beginning to end
Tenders change along the way. Amendments and clarifications are supported, so later changes can be included in the review.
Midpilot's AI system delivers two outputs to help accelerate bid cycles and mitigate risk:
CEO
Formerly at DNV, where he helped build the maritime industry's largest data platform and published AI research.
CTO
Formerly at NBIM and IBM, developing AI solutions to accelerate workflows and enterprise performance.