Edvisable helps research teams create better proposals — compliant, accurate, and grounded in their own research record — in a fraction of the time. AI-assisted drafting the PI controls: every suggestion cited to a source, every claim verifiable, nothing accepted without their approval.
A 20-minute conversation. No slideware ambush — we'll show you the product.
Success rates are down at nearly every funder, billions in awards were terminated mid-stream in 2025, and the growth money — defense and applied programs — moves through white-paper funnels and rolling announcements most offices weren't staffed for. At the same time, agencies have started writing rules about AI: NSF now treats AI-assisted fabrication as research misconduct, and accountability for anything AI touches sits with the PI. More pursuits, fewer people, higher stakes for every mistake. That's the problem Edvisable exists to solve.
Scans funding calls across federal agencies and foundations — NSF programs, DoD broad agency announcements and white-paper windows, DOE and NASA opportunities — and matches them to what your teams are actually strong at, using your own publications, past awards, and facilities.
Where the funding agency allows it, Edvisable drafts with you. AI suggestions are grounded in your institution's actual research documents — past projects, publications, facilities, biosketches — and every suggestion carries a citation. The PI accepts, edits, or rejects each one before it enters the proposal, and the hundred-plus-hour cost of a submission shrinks to something a stretched team can sustain.
Every submission gets the pre-submission checklist and a structured internal review — the practice published research links to markedly higher funding rates, but that most offices only have time to run on their biggest proposals.
Every claim traces to its source, and every use of AI is logged. A fabricated citation, an out-of-date biosketch, or an unanswerable question about AI use never has to be the story. The PI stays the author — nothing becomes part of the proposal without their approval.
Fabrication, falsification, or plagiarism committed with AI assistance is now research misconduct under the PAPPG. Disclosure of generative-AI use is required; non-disclosure is treated as misrepresentation.
Guidance calls for documenting how AI was used in proposals — and bars export-controlled content from public AI tools.
Applications substantially developed by AI are not accepted as original work, under Guide Notice NOT-OD-25-132.
"No software can honestly promise to raise your win rate — and you should distrust any that does. What we promise: better proposals — compliant and accurate — built faster, with review on every submission and nothing leaving your institution that can't survive scrutiny."
Proposals that received structured internal review before submission were funded at 41.7% versus 20% without it, in a published single-institution study. Edvisable doesn't replace that review — it makes running it on every proposal feasible.
Twenty minutes. We'll show you the product working on real funding calls — and you'll leave with something useful about the new AI rules even if we never talk again.
Book a pilot conversation