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Cohere Labs Catalyst Grants provide free API credits to academic institutions and civic or public-impact organizations for AI research that would otherwise be priced out of frontier model access. The eligibility framing is broader than the typical corporate academic program: alongside university researchers, civic and public impact organizations qualify, provided the project serves public benefit or open science.
Named focus areas are educational AI tools and personalized learning, healthcare accessibility and equity, multilingual AI capabilities, AI safety and responsible development, and climate and sustainability.
Multilingual capability is worth singling out - Cohere Labs has invested heavily in multilingual and low-resource-language model work through initiatives like Aya, so proposals in that area align unusually well with the funder's own research agenda. Two conditions shape what grantees must give back. Research artifacts should be publicly released for scientific benefit, meaning this is not a route to credits for closed work.
And any AI safety vulnerability discovered must be disclosed to Cohere at least four weeks before publication, a coordinated-disclosure window that red-teaming researchers should factor into publication planning up front. Applications are accepted on a rolling basis through cohere.
com/research/grants/application with no fixed deadline, and credit usage is tracked through the Cohere dashboard with additional credits available on request.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants are academic partners and civic or public impact organizations. Projects must serve public benefit or open science research; named focus areas are educational AI tools and personalized learning, healthcare accessibility and equity initiatives, multilingual AI capabilities, AI safety and responsible development, and climate and sustainability solutions. The award consists of free API credits for accessing Cohere's language models; no fixed dollar value is published and additional credits may be requested from the program contact. Two obligations attach to the grant: research artifacts should be publicly released for scientific benefit, and any AI safety vulnerabilities discovered must be disclosed to safety@cohere.ai at least four weeks before publication. Grant usage is monitored through the Cohere dashboard. Applications are accepted on a rolling basis with no fixed deadline, submitted at cohere.com/research/grants/application. Because Cohere adjusts credit levels, eligible focus areas, model coverage and disclosure terms over time, and because no award value is published, applicants should confirm current program terms, the credit amount available for their project scope, and any model-access restrictions directly with the Cohere Labs grants team before relying on this funding in a research plan. Confirm the full requirements in the official notice before applying.
The current listing shows cohere does not publish a fixed award value for Catalyst Grants; the award is free API credits for accessing Cohere's language models, sized to the project, with a stated route to request additional credits by contacting the program directly. amount_min of 1,000 and amount_max of 10,000 are estimates of the typical credit value for an academic or civic project rather than published figures, and should be treated as indicative only. The more useful planning point is that credit usage is monitored through the Cohere dashboard and additional credits can be requested mid-project, so applicants are better served by scoping an initial request honestly and returning for more than by over-asking at the outset. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Cohere Labs Catalyst Grants Program Providing Model API Credits for Public Benefit and Open Science AI Research is funded by Cohere Labs (Cohere For AI), the research arm of Cohere. 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.
Microsoft AI for Accessibility is a grant program that supports developers, nonprofits, researchers, and startups building artificial intelligence tools that empower people with disabilities and advance disability inclusion. Grants range from $25,000 to $250,000 and may include Azure compute credits, technical support, and access to Microsoft AI experts, with award sizes depending on project scope and available funds. The program targets AI solutions across employment, daily life, and communication that expand accessibility and independence for people with disabilities.
Microsoft's AI for Accessibility programme is a multi-year, USD 25,000,000 commitment funding nonprofits, universities and research organisations that build AI-powered solutions for people with disabilities. Individual grants range from USD 25,000 to USD 250,000, and the current cycle carries a deadline of 31 December 2026 - a year-end date that is unusually generous compared with the tight windows typical of corporate AI grantmaking, and one that rewards taking time to build a properly co-designed proposal rather than rushing. Scope covers AI applied to disability and accessibility across a growing range of tools: reducing barriers, supporting communication, improving independence, and providing caregiving assistance at scale. In practice this spans assistive technology, artificial intelligence, accessibility and software development, and the programme's framing - empowering people living with disabilities - signals that proposals grounded in lived experience and disability community partnership will read more strongly than technically impressive tools designed for rather than with disabled users. Eligibility is limited to nonprofit organisations and universities; the programme is generally open across the United States, though applicants should verify specific requirements directly with Microsoft since corporate programmes of this kind can carry country-level and entity-level conditions not stated in summary listings. One practical caveat: the award composition is not published. Microsoft's philanthropic programmes frequently combine cash with Azure credits, and a grant delivered largely as cloud credit funds a very different project plan than an equivalent cash award. Confirming the split with Microsoft before finalising a budget is worth the email. Application preparation involves confirming eligibility, gathering documentation, drafting the narrative and preparing a budget.
The F5 2026 STEM and AI Education Grants support nonprofits implementing STEM and AI education initiatives that prepare youth and underserved learners in Africa, Asia, and Latin America for the AI-driven economy. Funded organizations design programs that introduce AI literacy, foundational computational thinking, applied machine-learning projects, ethics of AI use, and pathways into STEM careers for students who would otherwise lack access. F5 prioritizes culturally adapted curricula, community-led delivery, partnerships with local schools and universities, and approaches that explicitly include girls, refugees, rural learners, and other underrepresented groups. Funded projects must demonstrate measurable learner outcomes and a clear sustainability plan beyond the grant period.
NSF announced three more X-Labs topics on September 16, 2026 — Artificial Intelligence for Physical Systems is live, with Sequence to Function and Computation at the Limit of Physics coming this fall. The Q&A webinar is October 14 and an RFI on future topics closes October 30. The per-topic key-personnel restriction is what should be driving your team-building decisions.
Read articleNSF just committed $380 million to build a national network of AI-programmable, remotely operated laboratories — the Programmable Cloud Laboratories Test Bed (NSF 25-541), the agency's flagship contribution to the Genesis Mission. Twenty nodes, four years, self-driving experiments in chemistry, biology and materials. Here is what it funds, who is eligible, why the 'existing facilities only' rule matters, and how researchers and companies should position for what comes next.
Read articleOn July 22, 2026, the Department of Energy opened the first Phase I SBIR/STTR release tied to its Genesis Mission — roughly 40 awards across biotechnology, AI-for-quantum, predictable-materials design, and autonomous laboratories — alongside about $147M in FY25 Phase II funding. Here is what each topic area actually wants, who is eligible, how this connects to the $5B Genesis Mission, and how a small business should position before the broader fall solicitation.
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