1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
Evidence for AI in Health (EVAH) is a 60 million US dollar, three-year initiative launched jointly by Wellcome, the Gates Foundation and the Novo Nordisk Foundation to answer a question that the current wave of health AI funding largely skips: do AI-enabled clinical decision support tools actually improve care when deployed in the settings that need them most. It funds evaluation rather than development.
Eligible studies assess AI tools that are already deployed or ready for deployment in primary and community health care in Sub-Saharan Africa, South Asia and South-East Asia, supporting frontline health workers with clinical tasks such as triage, diagnosis and referral.
The methods in scope are implementation research, randomised controlled trials, economic evaluation and acceptability studies, and the initiative gives explicit priority to technologies designed for resource-limited settings and trained on data that genuinely reflects the populations they will serve, which rules out much of the evaluation-by-transplantation that characterises global health AI.
The request for proposals is administered by the Abdul Latif Jameel Poverty Action Lab (J-PAL), which brings a randomised-evaluation methodological culture to the review process, and proposals are expected to be led by institutions based in the regions of focus rather than by Northern universities with regional partners.
The Spring 2026 round closed on 1 April 2026 with decisions anticipated by mid-July 2026; because the initiative runs for three years with rolling requests for proposals, further rounds are expected and prospective applicants should monitor the J-PAL EVAH pages for the next window.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: Applicants must have access to an AI-enabled clinical decision support tool that is already deployed or ready for deployment in primary health care settings, together with the capacity to conduct a rigorous evaluation of it. The tool itself is not the deliverable and its development is not funded, so teams whose AI system is still in prototype are not eligible. Eligible applicant types are broad and include non-profit organisations, for-profit companies, international organisations, government agencies, academic institutions and collaborations among these actors, which means an implementer-researcher consortium is a natural structure. The geographic requirement is the decisive one: evaluations must take place in Sub-Saharan Africa, South Asia or South-East Asia, and proposals should be led by institutions based in the regions of focus. This is a locally led funding mechanism by design, and a proposal in which a high-income-country university is the lead applicant with regional partners in subordinate roles runs against the stated intent. Teams should expect to demonstrate methodological capacity matched to the pathway: Pathway A applicants need implementation research and usability expertise, while Pathway B applicants need credible trial design, sample size justification and economic evaluation capability, and the J-PAL administration of the review means randomised and quasi-experimental designs will be assessed to a high standard. Priority goes to tools designed for resource-limited settings and trained on data representative of the intended user populations. The Spring 2026 deadline was 1 April 2026 at 10:00 EDT; subsequent rounds are anticipated within the three-year initiative. Confirm the full requirements in the official notice before applying.
The current listing shows EVAH funds two pathways with different ceilings: Pathway A provides up to 1,000,000 US dollars for early-deployment evaluation of an AI tool, focused on usability, workflow integration and safety, and Pathway B provides up to 3,000,000 US dollars for rigorous impact evaluation of a tool that is ready for deployment at scale. amount_min is therefore recorded as 1,000,000 and amount_max as 3,000,000 US dollars, representing the two pathway ceilings; both are maxima rather than floors, and smaller awards within each pathway are expected, so a team proposing a tightly scoped Pathway A study should not inflate a budget toward the ceiling. The initiative as a whole is capitalised at 60 million US dollars over three years across the three funders, which implies room for a substantial portfolio rather than a handful of awards and means applicants rejected in one round have a realistic prospect in a later one. The two-pathway structure is the most consequential design feature for budgeting. Pathway A money is for implementation research in the ordinary sense: observation, usability testing, workflow mapping, safety event capture at a modest number of facilities. Pathway B money is for randomised trials, economic evaluation and multi-site designs, where the dominant cost is field data collection across many facilities over a long follow-up period, and three million dollars is a realistic rather than generous envelope for a trial powered on clinical outcomes in primary care. Awards do not fund development of the AI tool itself; the tool must already exist. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Evidence for AI in Health (EVAH) Initiative Request for Proposals for Locally Led Evaluations of AI Clinical Decision Support Tools in Africa and Asia is funded by Wellcome, the Gates Foundation and the Novo Nordisk Foundation, with the request for proposals administered by the Abdul Latif Jameel Poverty Action Lab (J-PAL). 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.
Wellcome Discovery Awards provide long-term flexible funding for established researchers and teams pursuing bold, creative research that can deliver significant shifts in understanding of human life, health, and wellbeing. AI and computational approaches to biomedical challenges are explicitly welcome, including machine learning for drug discovery, AI-driven clinical diagnostics, computational genomics, and data science for health equity. The world's second largest private funder of medical research (endowment approximately £14.5 billion), Wellcome supports interdisciplinary teams tackling fundamental health questions using novel methodologies. Discovery Awards are discipline-agnostic and value transformative potential over incremental advances, making them ideal for ambitious AI-health intersection research.
Wellcome Discovery Awards provide long-term, flexible funding for established researchers and their teams pursuing bold, discovery-driven research to improve human life, health, and wellbeing. The scheme explicitly welcomes AI, machine learning, and computational approaches to biomedical challenges, including machine learning for drug discovery, AI-driven diagnostics, computational genomics, and data science for health. There is no fixed funding limit; the average award is around GBP 3.5 million (about USD 4.4 million) and applications above GBP 5 million (about USD 6.4 million) receive additional scrutiny, with awards typically lasting 3 to 8 years. The next round closes September 22, 2026.
On August 17, 2026, NSF released 12 new notices of funding opportunity worth over $1.5 billion across BIO, CISE, ENG, GEO and all five MPS divisions. The headline is the money. The structural change is that most of these solicitations say Proposals Accepted Anytime — replacing hard deadlines with soft target dates, consolidating dozens of program descriptions into single directorate-wide NOFOs, and quietly moving the competitive pressure from the calendar to the queue.
Read articleA new Collective Action stream opens the Commonwealth Foundation's October 26, 2026 call to networks, alliances and platforms at £15,000–£20,000 a year, while individual organisations can still request up to £30,000. The lower ceiling for more partners is deliberate, and it tells you exactly what the grant is buying. Plus: the nine-month decision lag that should reshape your workplan.
Read articleThe Atlassian Foundation opened a global call on October 1 and closes it October 30 at 11:59 pm AEDT. Up to US$1 million per partnership over two years, capped at 25 percent of the lead organization's operating budget — which means the full million requires a US$4 million two-year budget.
Read article