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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.
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Or search similar grants →According to the current listing, eligibility includes: Open to nonprofits, academic institutions, researchers, startups, and developers building AI solutions that advance accessibility and disability inclusion. Confirm the full requirements in the official notice before applying.
The current listing shows grants from $25,000 to $250,000; actual award size depends on project scope, available program funds, and number of applicants. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Microsoft AI for Accessibility Grants Program for AI Solutions Advancing Disability Inclusion are due December 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Microsoft AI for Accessibility Grants Program for AI Solutions Advancing Disability Inclusion is funded by Microsoft. 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.
The AWS Imagine Grant is Amazon Web Services' flagship unrestricted-cash programme for nonprofits, and the 2026-2027 cycle restructured the top tier explicitly around frontier AI. The Pathfinder Award funds groundbreaking, mission-critical projects at the frontier of artificial intelligence - generative AI, agentic AI and autonomous systems - and the solicitation is specific that frontier AI capability must be a core workload of the project within the one-year grant term, not an incidental feature. That requirement is the single most common reason applications fail: a project that uses a chatbot at the edge of an otherwise conventional service-delivery programme is a Go Further, Faster application, not a Pathfinder one. AWS states plainly that Pathfinder is designed for organisations with a strong existing data practice that are already in the planning phase, meaning the review favours applicants who can show data readiness and a concrete build plan over those pitching an idea. The cycle runs two rounds - Round One opened 19 March 2026 and closed 5 June 2026, and Round Two closes 14 September 2026 - with winners announced 1 December 2026. All three tiers pair unrestricted cash with AWS promotional credit, and no prior AWS usage is required, which keeps the programme genuinely open to organisations not already in the AWS ecosystem.
The Nature Awards AI for Discovery recognize the growing role of artificial intelligence in advancing science and solving global problems, supporting AI-based research across health, life sciences, energy, environment, agriculture, manufacturing, and infrastructure. Four winning teams each receive a US$10,000 development grant along with international exposure, training opportunities, and participation in a global symposium and gala in London in November 2026. The awards spotlight innovative applications of AI and machine learning that accelerate scientific discovery and address pressing societal and environmental challenges.
NVIDIA's K-12 AI Education Pledge, announced at a White House event aligning with the executive order on Advancing Artificial Intelligence Education for American Youth, commits $25 million to scale AI literacy in U.S. K-12 classrooms. The initiative integrates NVIDIA Deep Learning Institute (DLI) and NVIDIA Academy content through two K-12 learning platforms, Study Fetch and CK-12, tailoring hands-on AI experiences for high school students and educators. In year one NVIDIA focuses on curriculum development, platform integration, educator training, institutional engagement, and outreach efforts. The stated reach target is 1 million K-12 students within three years, supporting AI literacy, foundational machine learning skills, and pathways into the AI economy. The pledge complements NVIDIA's prior commitments of $30 million to the National AI Research pilot (NAIRR) and ongoing NSF partnerships supporting academic AI research.