How it works

From funding call to submitted proposal — governed end to end.

Edvisable is AI-assisted proposal development the PI controls. It helps draft wherever the funding agency allows it — with suggestions grounded in your institution's real research record and a citation behind every claim — and nothing enters the proposal until a human accepts it. The result: better proposals, compliant and accurate, in a fraction of the time.

The workflow

Seven steps, one governed memory.

1

Ingest what's true

Your proposal archive, publications, past and current awards, facilities and equipment descriptions, and biosketches enter one governed knowledge base — each item carrying its source, date, and permissions. This is the raw material everything else is built from.

2

Match opportunities

Edvisable watches funding calls across NSF, DoD broad agency announcements, DOE, NASA, and foundations, and scores them against your actual strengths — not keywords. Each recommendation arrives as a brief that cites the evidence: the publications, awards, and facilities that make you competitive.

3

Shred the requirements

The solicitation's instructions, evaluation criteria, and format rules become a requirements checklist, every row tied to the exact text it came from — so nothing is missed and nothing is invented.

4

Draft together

Where the funding agency allows AI assistance, Edvisable drafts white papers and proposal sections with the PI: suggestions grounded in your verified research documents, each carrying a citation the PI can check. The PI accepts, edits, or rejects every suggestion before it becomes part of the proposal — the science and the judgment stay human. Where an agency restricts AI drafting, the same engine runs in verification-only mode.

5

Verify everything

Before anything advances, every claim must resolve to a real source: the publication exists, the biosketch is current, the facility description is accurate, the requirement is answered. Stale or unsupported content gets flagged, not shipped.

6

Review, made practical

Structured internal review — the practice a published study associated with roughly double the funding rate — becomes feasible on every submission, because reviewers spot-check sources instead of fact-checking prose from scratch.

7

Submit, then learn

Every submission, review comment, and outcome feeds back into the governed memory. Opportunity matching gets sharper and reusable content gets richer with every cycle — your capture memory compounds instead of walking out the door.

The 90-day pilot

Live before your next deadline season.

One office or institute. Real submissions. Measured on your own numbers — not our marketing.

Weeks 1–2

Your IT office's security questionnaire answered, your proposal archive and public materials ingested, workspace live.

Weeks 3–6

Opportunity matching tuned to your portfolio; first white papers and proposals assembled and verified.

Weeks 7–12

Structured review running on every submission; your team working the full workflow on live deadlines.

Day 90

Decision data: hours saved per submission, review coverage, and what your team wants to keep. You decide with numbers.

See it on your own funding calls.

Bring a live solicitation to the first conversation — we'll show you what Edvisable does with it.

Book a pilot conversation