About
Built around one uncomfortable constraint
An AI that reviews grant proposals is easy to build and almost useless. The hard part is being right — and, where it cannot be right, being obvious about it. Everything here follows from that.
How we work
Four rules that shape the rest
A wrong score is worse than no score
Clients act on this. An inflated number costs someone a submission window, so every design decision favours being checkable over being reassuring.
Findings first, the number last
Evaluators must record what they found and how severe it is before deriving a score, and a score that contradicts its own findings is rejected and re-run. That check is code, not an instruction in a prompt.
No finding without a citation
A finding that does not point at a specific place in your proposal is dropped before it can affect anything. It is the cheapest possible defence against a confident, invented criticism.
Never a black box
Every score traces back to cited evidence and a stored, versioned marking scheme. A report from six months ago stays explainable after the system has changed underneath it.
Known limits
What we would want to know if we were buying
Stated here rather than discovered later.
Marking schemes await confirmation
Each is transcribed from a published evaluation form, but until a person has confirmed a given one against the current form on the Funding & Tenders Portal, every report produced with it says so and asks you to treat the scores as indicative.
Agreement with real panels is unmeasured
Measuring it needs real Evaluation Summary Reports for proposals with known outcomes. Until that dataset exists, we can show that the system is consistent and evidence-bound — not that it agrees with a Brussels consensus meeting.
Contact
Company details
- Registered name
- Copenhagen Performance Consulting ApS
- CVR / VAT
- DK-38252240
- Registered address
- Miravej 9, 7100 Vejle, Denmark
- Contact
- eval@copenhagenperformance.com
Specialist European grant quality assurance, proposal auditing and innovation strategy, for research teams, spin-offs and technology SMEs.