Whetmark reads your proposal like a real evaluator, scores each criterion against a private corpus of genuine reviewer criticism, and marks up the fixes in your Word document. All on your own machine.
Most tools polish your grammar. Whetmark does the one thing that changes outcomes: it anticipates the evaluator's objections while you can still fix them — because we studied real grant proposals alongside the official reports their evaluators wrote, and taught the tool to spot the same problems in yours.
Every section is scored 0–10 against Excellence, Impact and Implementation — the three criteria a Horizon or national panel actually uses — and shown the exact past criticism your text most resembles.
Accept the suggestions you want and Whetmark writes them straight into your proposal as Word tracked changes — not a list to retype. You stay in control of every edit.
Re-score after each pass and watch the gauges fall version over version. You submit only once the evaluator's likely objections are answered.
Whetmark runs its AI locally, on your own instance. No OpenAI, no Gemini, no cloud model ever sees your ideas, your consortium, or your budget. The confidentiality that a competitive proposal demands is built into the architecture — not a setting you have to trust.
A grant proposal is your most sensitive unpublished work — novel science, a costed plan, a named consortium. The moment it touches a third-party AI it can be logged, cached, or trained on. Whetmark removes that risk entirely: there is no third party.
Whetmark is organised around the workflow in the companion handbook — so the tool and the method reinforce each other.
Decide to bid; plan the deadline.
Bring documents in, locally.
Turn the call into a map.
Impact pathway and the work.
The mock-evaluator pass.
Tracked changes, final checks.
The playbook Whetmark operationalises — the practical method behind the phases, written for professional grant writers and research offices.
Every recipe in the handbook has a home in the workspace — so a team learns one method and executes it in one place. New clients get the book as part of onboarding.
We provision and manage a private instance for you — no installation, no cloud AI. Pricing is per instance, invoiced by Scientific Network Management S.L. (indicative tiers — final quote on request.)
Book a walkthrough on the live demo, or ask for a private instance for your team. We'll reply within one working day.