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Microsoft's AI for Earth program awards Azure cloud compute credits to support AI projects addressing environmental challenges.
Compute credit grants are tiered at $5,000, $10,000, or $15,000 depending on project scope, focused on four key program areas: agriculture (precision farming, crop monitoring, soil health AI); biodiversity (species detection, habitat mapping, wildlife conservation AI); climate change (emissions modeling, carbon accounting, climate adaptation AI); and water (water quality, drought prediction, watershed health AI).
Beyond compute credits, grantees receive machine learning expertise, collaboration with Microsoft Research AI for Good Lab, mentorship, and access to the Microsoft Planetary Computer platform with petabytes of geospatial Earth observation data and APIs.
Successful applicants typically have a demonstrated background in environmental science and/or technology, at least one team member with strong technical/ML skills, and are close to or finished with data collection ready for computation and model building. Applications are evaluated on quarterly rolling basis.
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Search similar grants →Based on current listing details, eligibility includes: Open to academic institutions, nonprofit organizations, government entities, environmental startups, and innovative projects within companies worldwide. Lead applicant should have demonstrated background in environmental science and/or technology. At least one team member must have technical skills sufficient to complete the AI/ML project. Applicants should have labeled dataset and be ready to begin computation and model building. Particular interest in projects from underrepresented regions and emerging markets. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Azure cloud compute credits awarded in tiers of $5,000, $10,000, or $15,000 USD depending on project scope. Multi-year grant program with rolling applications. Grant recipients receive Azure credits, machine learning expertise, Microsoft Research collaboration, and Planetary Computer access. 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.
Meta's AI Glasses Impact Grants program supports U.S.-based innovators using AI glasses (Ray-Ban Meta and forthcoming wearable AI platforms) to empower communities, boost economic growth, and expand opportunities across the United States. Nearly $2 million in funding was awarded to more than 30 organizations and developers during the H1 2026 cycle. The program awards 15 Accelerator grants of $25,000, 10 Accelerator grants of $50,000, and 5 Catalyst grants of $200,000. Priority areas include: skills and employment (job training, vocational AI guides); health (visual assistance for low-vision users, medical training); economic growth (entrepreneurship support, financial literacy AI); community building (local engagement, civic technology); accessibility (technology amplifying capabilities for people with disabilities); and support for veterans (transitioning service members, PTSD support tools). Catalyst-tier grants ($200K) target organizations ready to scale validated AI glasses applications with demonstrable user impact. Applications closed March 9, 2026 for H1 2026 cohort, with H2 2026 cycle expected late summer 2026. Beyond funding, recipients receive Meta partnership, hardware access, and developer support.
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.