Sarah was a former hospital pharmacist building software to reduce medication errors during care transitions. She knew SBIR funding existed but the NIH application process is notoriously brutal — averaging 40+ pages, 150+ hours of writing, and a sub-15% success rate.
GrantsForYou matched her to NIH SBIR Topic 087 (digital tools for care transitions) on day one. The AI drafter generated structured sections aligned to NIH's required format — Specific Aims, Significance, Innovation, Approach — which she then deepened with her clinical literature review and pilot data.
She submitted her Phase I in week 14. Score back at week 22: impact score of 28 (top quartile). Funded at full $150K with a clear path to a $1M Phase II.
"$150,000 in non-dilutive funding for a $19/month subscription. The math doesn't get better than that."
Why SBIR is the most underrated funding source for healthtech
SBIR Phase I awards are non-dilutive — Sarah kept 100% of her equity. "A $150K seed round would have cost me 8% of the company. SBIR cost me zero percent and bought me 9 months of runway," she explains. The catch: the application process is technical, structured, and deeply allergic to vague claims.
What the AI drafter actually did (and didn't)
GrantsForYou's drafter handled the structural heavy lifting — formatting Specific Aims pages, scaffolding the Approach section, generating boilerplate for the Facilities & Resources section. What it couldn't do: cite the right clinical literature, design the right experimental controls, or articulate the unique scientific premise. "It's a force multiplier for a domain expert. It is not a replacement for one," Sarah emphasizes.
How she chose her NIH topic and study section
Topic selection is half the battle. Sarah used the platform's filter to surface SBIR topics specifically calling for digital health interventions in care-transition safety — a much narrower, less competitive lane than "digital health" broadly. She also requested assignment to a study section with relevant clinical reviewers, which the platform's eligibility breakdown flagged as critical.
Phase I to Phase II strategy
Her Phase I deliverables intentionally generate the data she'll need for a Phase II proposal — usability validation in 3 pilot hospitals, preliminary efficacy on a 200-patient cohort, and a functional MVP. "Phase I should de-risk the Phase II application. Otherwise you're starting from zero again."