1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
"Thinking Machines Lab Interactivity Research Grants for Real-Time Multimodal Human-AI Interaction, Generative UI and Live Agent Steering" is currently closed and not accepting applications.
Thinking Machines Lab, the AI research company founded by former OpenAI CTO Mira Murati, opened its first external research grant programme in 2026 around a single theme: interactivity, meaning the real-time, multimodal, bidirectional interaction between humans and AI systems that the lab argues is under-studied relative to model capability itself. Four priority directions are named.
The first is evaluations for real-time multimodal interaction - benchmarks that measure how AI systems actually perform in live practical use rather than on static datasets. The second is safety mechanisms that detect dangerous requests and behaviours from users across modalities, which extends content safety work beyond text into audio, vision and mixed input.
The third is generative UI, enabling systems to explain complex work through generated formats such as SVG or HTML rather than prose alone. The fourth is techniques letting humans obtain real-time updates on an agent's execution and steer it live during extended tasks, which is the direction most directly relevant to the current wave of long-horizon agent deployments.
The lab explicitly welcomes proposals beyond these four directions provided they advance interactivity. Each grant carries 100,000 dollars plus 25,000 dollars in Tinker credits, with multiple grants awarded. The inaugural round closed 19 June 2026; researchers interested in this line of work should watch for a subsequent cycle, as the lab has signalled continuing external research support.
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: Thinking Machines Lab does not publish detailed eligibility restrictions for the Interactivity Research Grants, and the framing suggests openness to academic researchers, independent researchers and small research groups rather than a restriction to any single category - but the absence of published criteria means prospective applicants should confirm directly with the lab rather than assume. Each grant provides 100,000 US dollars plus 25,000 dollars in Tinker credits, redeemable only against the lab's own fine-tuning API, and multiple grants are made per round. Four priority directions are named: evaluations and benchmarks for real-time multimodal interaction; safety mechanisms that detect dangerous requests and behaviours from users across modalities; generative UI that lets systems explain complex work through formats such as SVG or HTML; and techniques enabling humans to obtain real-time updates on an agent's execution and steer it live during long-running tasks. Proposals outside these directions are explicitly welcomed provided they advance interactivity research. Applications for the inaugural round were submitted through the programme's application page with a deadline of 19 June 2026, and complete terms are published separately in the programme's legal terms document, which prospective applicants should read closely given the credit component and any associated intellectual property or publication conditions. This round has closed; confirm whether a further cycle has opened before preparing materials. Confirm the full requirements in the official notice before applying.
The current listing shows each grant is 100,000 US dollars in cash plus an additional 25,000 dollars in Tinker credits, which is why amount_min is 100,000 and amount_max is 125,000 - the lower figure is the cash alone, the upper figure the full package including credits. Multiple grants are awarded rather than a single prize. The Tinker credit component is not incidental: Tinker is Thinking Machines Lab's own fine-tuning API, and the credits are consumable only against it, which means the grant implicitly assumes the funded work will run on the lab's infrastructure. For a group already using open-weight models and looking for post-training capacity, that is a genuine subsidy on top of the cash. For a group committed to a different stack, the effective value is 100,000 dollars rather than 125,000, and the budget should be planned on that basis. At this size the grant functions as seed funding for a focused study or a single strong publication rather than as programme support, and the lab's framing - research that advances interactivity - is deliberately broader than the four named priority directions. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 20, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Thinking Machines Lab Interactivity Research Grants for Real-Time Multimodal Human-AI Interaction, Generative UI and Live Agent Steering is funded by Thinking Machines Lab. 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.
Britain is making the largest coordinated public investment in AI research in its history — a £1.6 billion UKRI strategy, a £40 million fundamental research lab, and £27 million in alignment grants. The implications reach across the Atlantic.
Read articleSTTR was designed to move university research into commercial products. Here is how academic researchers can use STTR to spin out their lab work and build a company.
Read articleSteel tariffs at 50%, China duties at 54%, and lab equipment costs surging across the board. For researchers already managing flat or shrinking grants, the tariff shock is forcing hard choices between personnel and reagents.
Read article