Your systematic second pair of eyes
- Extracts and classifies tender requirements
- Maps clauses to your bid evidence
- Flags gaps and inconsistencies before submission
Example bid review report
The risk before submission
Disqualification traps
One missed clause or certificate can disqualify you before merit evaluation.
Contradictions across volumes
Technical claims drift between annexes and appendices — 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.
Improve your bid from ITT to submission
Tender Review
Scan the tender package and turn ITT documents into a requirements list.
Bid Writer
Coming SoonLet AI help you draft responses to tender requirements.
Bid Review
Our AI cross-references your draft against the ITT to help identify potential gaps.
A systematic bid review
Your bid reviewed against the specific requirements and technical specifications defined in your ITT package. Issues the AI aims to find include:
Evidence & Documentation Gaps
Missing evidence or expired certificates requested by the buyer.
Internal Contradictions
Claims that conflict across documents.
Technical Mismatches
Deviations from the buyer's stated technical specifications.
Incomplete Responses
Missing or inadequately addressed information required by the ITT.
Conflicts in the ITT
Requirements that contradict each other across volumes, annexes, or amendments.
Ambiguities in the ITT
Unclear scope, undefined terms, or obligations open to competing readings.
Explanations & Sources
Understand why AI flagged it.
Findings include explanations and sources.
Beginning to end
Coverage across the tender
Tenders change along the way. Amendments and clarifications are supported, so later changes can be included in the review.
Deliverables
Midpilot's AI system delivers two outputs to help accelerate bid cycles and mitigate risk:
- An Excel review trail with clause-by-clause findings and source links to your documents.
- A PDF report with a summary of gaps, contradictions, and potential risks for your review.
Built by AI experts that understand risk
Philip Hodne, MSc
LinkedInCEO
Formerly at DNV, where he helped build the maritime industry's largest data platform and published AI research.
Thomas Irgens, MSc
LinkedInCTO
Formerly at NBIM and IBM, developing AI solutions to accelerate workflows and enterprise performance.