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The Microsoft AI for Good Lab Open Call is a grant program awarding $5 million in funding and Azure service credits to organizations leveraging artificial intelligence to address social and scientific challenges. The two-year program provides opportunities for scientific collaboration with Microsoft AI for Good Lab researchers along with Azure cloud computing resources.
Focus areas include sustainability public health education and human rights. Successful applicants demonstrate potential for their concept and data to result in a unique and scalable solution to a major scientific or societal challenge using clean accurate and unbiased high-quality data.
The inaugural 2025 cycle funded 20 projects in Washington state including work at Washington State University on AI for agriculture health and education. The program is expected to continue with future open calls.
This program is distinct from the Microsoft AI for Accessibility grants which focus specifically on disability and accessibility solutions and from the Microsoft Accelerating Foundation Models Research Program which provides compute credits for foundation model research.
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Search similar grants →Based on current listing details, eligibility includes: Nonprofits academic institutions individual researchers startups and businesses. The inaugural cycle was open to entities based in or benefiting Washington state residents. Future cycles may expand geographic scope. Applicants should demonstrate scalable AI solutions with high-quality data for social or scientific impact. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $5 million total in grants and Azure service credits distributed across approximately 20 selected projects over a two-year program period. Individual award sizes vary based on project scope. Winners also receive the opportunity to collaborate directly with Microsoft AI for Good Lab scientists. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The LinkedIn Future of Work Fund 2026 is a global philanthropic grant initiative that doubled its commitment to $3 million for 2026 to help nonprofit organizations prepare young people for a rapidly changing labor market shaped by artificial intelligence. Building on the inaugural 2025 round, the fund provides unrestricted grants of $200,000-$300,000 to organizations demonstrating clear approaches to AI literacy and digital skills training, career pathways using AI-enabled tools, and workforce adaptability programs. The fund prioritizes organizations serving young adults aged 18-24 facing structural barriers to employment, with geographic focus on France, Germany, India, United Kingdom, and United States. Selected organizations receive monetary grants plus strategic assistance from LinkedIn's workforce development ecosystem. Applications are reviewed by LinkedIn's Social Impact team along with an external panel of workforce development and AI experts.
The Alibaba Cloud AI Catalyst Program supports AI-focused startups and global AI firms with comprehensive resources including up to $120,000 in lifetime cloud credits, 2 billion free Model Studio tokens for access to Alibaba's generative AI platform, 1:1 Office Hours with AI experts covering products, solutions, and infrastructure, POC coupons, and invitations to Alibaba Cloud events worldwide. The program is designed to help AI startups accelerate their growth with technical, educational, and networking resources. Applications are reviewed within 4-5 business days, and successful applicants are notified via email. The program provides access to Alibaba Cloud's GPU infrastructure including H100s in the Singapore region, making it particularly attractive for APAC-focused AI startups. The promotion period runs from April 1, 2025 through March 31, 2026.
The Google.org Impact Challenge: AI for Government Innovation awards $1 million to $3 million each to selected nonprofits, social enterprises, and academic institutions that partner with governments to use generative and agentic AI to improve public services. Priority areas include healthcare access, crisis resilience, and economic infrastructure. The challenge funds partnerships where organizations work alongside government agencies to deploy AI solutions that demonstrably improve public service delivery. Beyond funding, selected organizations gain access to technical mentorship from Google AI experts, Google Cloud computing resources, and a structured multi-month accelerator programme. Applications close April 3, 2026. This is part of Google.org's broader $60 million commitment to AI impact challenges in 2026, alongside the separate AI for Science challenge.