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Microsoft Accelerating Foundation Models Research (AFMR) is a grant program that makes leading foundation models hosted by Microsoft Azure more accessible to the academic research community. Recipients receive up to $20,000 in Azure credits to access cutting-edge models through Azure AI Studio for research purposes.
The program supports three main research areas: aligning AI with human values and goals for safety responsibility and transparency; improving human interactions through research at the intersection of technology and society; and accelerating scientific discovery in natural sciences through innovative knowledge and data approaches.
Microsoft has made grants to hundreds of projects through this program covering AI safety alignment AI-driven scientific discovery and beneficial applications of AI. This program is distinct from Microsoft AI for Accessibility which focuses specifically on disability and accessibility and from general Azure for Research credits which are general-purpose cloud credits.
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Search similar grants →Based on current listing details, eligibility includes: Academic researchers at accredited institutions worldwide. Proposals must address foundation model research in AI safety and alignment scientific discovery or beneficial AI applications. Rolling applications accepted year-round. Recipients receive Azure credits plus access to foundation models through Azure AI Studio. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $20,000 in Azure credits per project providing access to leading-edge foundation models hosted on Microsoft Azure through Azure AI Studio. Credits enable researchers to access GPT-4 and other large language models for academic research purposes. 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.
Google.org's $30 million global initiative funding nonprofits, social enterprises, and academic institutions partnering with governments to use generative and agentic AI to transform public services. Focus areas include health (expanding healthcare access through AI-powered service delivery), resilience (enhancing crisis preparedness, response, and recovery), and economy (improving public infrastructure and economic opportunity). Selected organizations receive multi-month Google.org Accelerator programming with dedicated technical support from Google AI experts.