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Fast Grants are lightweight, fast-turnaround gifts for researchers who want to explore an idea at the intersection of AI and health but lack the seed capital to try, and the programme is built around speed as its defining feature: roughly two weeks from deadline to decision.
Cycle 1 of 2026 closed 15 June with decisions by 1 July; Cycle 2 closes 15 December 2026 at 11:59pm PT, with decisions around 1 January 2027 and funding approximately 1 February 2027.
The foundation organises its interest around two pillars - AI-driven diagnostics and prediction, and personalised therapeutics and autonomous research - but the eligible project list is deliberately wide: training, fine-tuning or evaluating models on biomedical data; exploring or assembling datasets that could unlock new clinical or biological insight; building AI tools or agents that scale a scientist's leverage; and pilot experiments that de-risk a bigger funding ask.
That last category is the strategic one. A Fast Grant is explicitly positioned as the preliminary-data vehicle for a subsequent NIH R01 or foundation application, and proposals that name the larger grant they are de-risking read well.
The application itself is unusually short - seven bullet-pointed sections with character limits covering title, one-sentence summary, research question, methodology, team background, budget and intended outputs - so the effort-to-expected-value ratio is among the best available in biomedical AI funding.
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Or search similar grants →According to the current listing, eligibility includes: Open to researchers worldwide at eligible institutions, across career stages: early-career faculty, postdoctoral scholars, graduate students, and undergraduates with faculty sponsorship. The 25,000 dollar tier is the only one undergraduates may hold. The binding constraint is institutional rather than personal: the host organisation must be eligible to receive charitable gifts from US private foundations, meaning a US 501(c)(3) public charity, a state or federal instrumentality, or a non-US equivalent confirmed through NGOsource equivalency determination or channelled through an eligible US charity. Non-US applicants should start the equivalency check early, as it can take longer than the two-week review itself. Projects run 12 months from a single payment, and indirect costs are capped at 15 percent. Eligible work sits at the intersection of AI and health: training, fine-tuning or evaluating models on biomedical data; exploring or assembling datasets; building AI tools or agents that scale a scientist's leverage; pilot experiments that de-risk a bigger funding ask. Two cycles run per year with up to 3 million dollars deployed annually; Cycle 1 2026 closed 15 June 2026 and Cycle 2 closes 15 December 2026 at 11:59pm PT, with decisions around 1 January 2027. Confirm tier availability, institutional eligibility and the indirect cost cap with the foundation before applying. Confirm the full requirements in the official notice before applying.
The current listing shows three fixed tiers rather than a negotiated budget, which is why amount_min is 25,000 and amount_max is 100,000 US dollars. The 25,000 dollar tier funds small curiosity sprints and is the only tier undergraduates can hold; 50,000 dollars funds pilot experiments; 100,000 dollars funds more ambitious projects. Each cycle supports roughly 20 awards at 25,000, 10 at 50,000 and 5 at 100,000, so the 100,000 tier is materially more competitive than the headline acceptance picture suggests. The foundation deploys up to 3 million dollars annually across two cycles. Two structural details matter more than the headline numbers. First, awards are made as single-payment gifts rather than grants with milestone drawdown, so the money arrives whole and early. Second, indirect costs are capped at 15 percent, well below the 50-60 percent many US universities charge on federal awards, so the institution must be willing to accept the reduced rate before the application is worth preparing - this is the most common administrative blocker on Fast Grant applications. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Biswas Family Foundation Fast Grants Program for Curiosity-Driven Research at the Intersection of Artificial Intelligence and Health are due December 16, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Biswas Family Foundation Fast Grants Program for Curiosity-Driven Research at the Intersection of Artificial Intelligence and Health is funded by Biswas Family Foundation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.