1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
The K-12 AI Infrastructure Program's Open Source AI Model for Tutoring RFP funds the development of open-source foundational AI models designed to deliver effective K-12 mathematics tutoring in the United States, with awards of up to $8 million per project over an estimated 30-36 months.
The initiative seeks tutoring systems that provide personalized learning experiences, improve student outcomes, and match the effectiveness of expert human tutors. Applicants must build foundational AI models (not standalone apps), commit to open-source contributions, include stakeholder engagement plans, and conduct rigorous educational effectiveness research using real user data. Proposals are due July 31, 2026.
Get alerted about grants like this
Get emailed when new opportunities from “K-12 AI Infrastructure Program (led by Digital Promise with partners)” or related funders appear. Free, weekly, unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: Technology organizations, research institutions, educational technology companies, and academic institutions with demonstrated large language model development experience, a track record in open-source AI contributions, prior deployment/evaluation of AI systems with real user data, and capacity for educational data work and outcome measurement. Confirm the full requirements in the official notice before applying.
The current listing shows up to $8,000,000 per project over an estimated 30-36 months to develop open-source AI tutoring models. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 31, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Open Source AI Model for Tutoring Request for Proposals for K-12 Mathematics Education is funded by K-12 AI Infrastructure Program (led by Digital Promise with partners). 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.
CIFAR and the Canadian AI Safety Institute fund Catalyst Project proposals addressing sociotechnical considerations in AI safety. The program supports interdisciplinary research in machine learning applications to science and society, with recent funded projects spanning misinformation combat, trustworthy language models, democratic alignment of AI systems, Indigenous AI governance, and real-world safety in autonomous systems. Designed to catalyze new research areas and collaborations at the intersection of social sciences, humanities, and AI safety.
The Open Source AI Model for Tutoring (EDU AI) RFP, part of Digital Promise's Gates Foundation-funded K-12 AI Infrastructure Program, provides up to $8 million to a single team to build an open-source AI model for K-12 math tutoring in the United States. The effort targets known limitations of frontier models — 'helpful assistant' bias, weak misconception recognition, and limited pedagogical effectiveness — and requires rigorous evaluation, safety safeguards, and open release of all deliverables (content under CC BY 4.0 and code/models under Apache 2.0 or similar). The goal is durable public infrastructure usable by researchers, districts, curriculum teams, and model developers rather than a closed commercial product. The project period is 30–36 months with work beginning around November 2026.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.
New Candid/ABFE research confirms that 2020 racial justice funding pledges produced only temporary gains for large Black-led nonprofits and nothing for smaller ones. What went wrong and how organizations can build durable funding.
Read articleNTIA reopened tribal broadband funding with two NOFOs due September 17, 2026 — $540M in the Tribal Broadband Connectivity Program Round 3 and $250M in the Native Entities Grant Program. This is the money that survived the Digital Equity Act cuts. Here is who is eligible, why the program pivoted from fiber to affordability, and how to align with BEAD to score higher.
Read articleWisconsin's Public Service Commission is closing a $60 million State Broadband Expansion Grant round on July 27, 2026 — aimed squarely at the roughly 30,000 locations expected to remain unserved after the federal BEAD buildout. Here is how the program works, why the NTIA is disputing the gap, and what the model tells every rural provider and local government about the next phase of broadband funding.
Read article