Fast Grants Program: AI and Health

The Fast Grants Program supports curiosity-driven pilot projects at the intersection of AI and health, especially work that needs seed funding for compute, model-training credits, dataset access, coding-agent tokens, or similar resources that traditional grants may not cover quickly.

Biswas Family Foundation lists this opportunity for Researchers at academic institutions, Biomedical Sciences, Global. Applicants should use the official call page to confirm final requirements before submitting.

Researchers at any career stage across academic institutions worldwide may apply, including early-career faculty, postdoctoral scholars, graduate students, and undergraduates with faculty sponsorship.

Applicants must be affiliated with an institution eligible to receive a charitable gift from a U.S. private foundation. Non-U.S. institutions must be able to receive funds through foreign equivalency determination or an eligible U.S.-based fiscal sponsor.

Training, fine-tuning, or evaluating models on biomedical data.

Exploring or assembling datasets that could unlock new clinical or biological insight.

Other concise, high-ambition pilot projects where AI methods can advance health, biology, medicine, or global health research.

Awards are available at USD 25,000, USD 50,000, or USD 100,000 in a single payment for a 12-month project period. Undergraduate applicants are eligible for the USD 25,000 tier only, and indirect costs are capped at 15%.

Application deadline: Jun 15, 2026.

Confirm the exact deadline time, time zone, and submission route on the official call page.

Plan internal approvals, partner confirmations, budgets, letters, and portal submission before the final deadline.

Use the official Biswas Family Foundation Fast Grants page to review eligibility and submit the concise application. The Cycle 1 deadline is 15 June 2026 at 11:59 pm PT; applications received between deadlines carry over to the next cycle.

Before submitting, check required documents, eligible costs, attachments, page limits, institutional approvals, and whether the opportunity uses an expression of interest, full proposal, registration, or nomination stage.