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The Rural AI Catalyst Fund is a 5,500,000 US dollar pooled fund managed by TechSoup and launched with an anchor investment from Google to build AI capability in rural American communities, making grants of either 250,000 or 500,000 dollars.
Its three stated objectives are to scale AI literacy and vocational pathways for workers and underemployed individuals; to strengthen the local sectors rural economies actually run on, namely agriculture, healthcare, education and small business; and to build long-term community resilience through technical training that enables organisations to treat data as a public good.
The initial geography is deliberately narrow, focused on Georgia, Nebraska and Texas with further states to be determined, and indigenous communities are named explicitly.
Governance runs through a Community Advisory Council whose membership, including the Aspen Institute, the Center on Rural Innovation, CoBank, Communities Unlimited, Future Farmers of America, Partners for Rural Transformation and Partners for Rural Impact, signals that the fund is oriented toward established rural intermediaries and cooperative networks rather than toward technology startups.
A Data and Technology Hub operated as a partnership between TechSoup and the Ballmer Group provides service-provider support. The first round closed 8 September 2026 and TechSoup has signalled further cycles and additional contributors, so prospective applicants should register interest now through their local TechSoup programme.
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Or search similar grants →According to the current listing, eligibility includes: The fund is aimed at rural organisations and local innovators, with indigenous communities named explicitly as intended participants. Nonprofits and civil-society organisations are the primary audience and are directed to find their local TechSoup programme to learn about applying. Geographic eligibility is the main gate and is currently limited to Georgia, Nebraska and Texas, with additional states to be determined as further contributors join, so an organisation outside those three states should register interest and watch for an expanded footprint rather than apply against the initial criteria. Programmatically, a proposal needs to sit in at least one of agriculture, healthcare, education or small business, and to connect AI capability to workforce pathways for workers and underemployed people rather than to internal efficiency alone; the fund's framing of data as a public good also suggests a preference for applicants willing to build shared rather than proprietary data capability. The practical implication of TechSoup's role as manager is that the relationship starts before the application: TechSoup operates through local programmes and partners, and organisations already connected to one of the Community Advisory Council members or to the TechSoup and Ballmer Group Data and Technology Hub will have better visibility of cycle timing. The first round closed 8 September 2026; TechSoup has not published dates for the next cycle, so confirm current timing and award tiers directly at about.techsoup.org before planning. Confirm the full requirements in the official notice before applying.
The current listing shows grants are made at two fixed tiers of either 250,000 or 500,000 US dollars, so amount_min is recorded as 250,000 and amount_max as 500,000, against a total fund target of 5,500,000 dollars launched with an anchor investment from Google. The two-tier structure rather than a continuous range means applicants are effectively choosing a scope of work to match one of two budget levels, and a proposal sized at 350,000 dollars does not fit either tier. The fund's total target also implies a small cohort, on the order of 11 to 22 awards if fully subscribed, so competition should be assumed to be strong relative to the number of rural organisations working on AI. TechSoup has stated it will announce further contributors throughout the year, which means the total may grow and additional cycles may be funded beyond the first; the first round closed 8 September 2026 and TechSoup has signalled further cycles without yet publishing dates. Because TechSoup also operates as a technology-access intermediary, applicants should expect the package to include discounted or donated software and technical assistance alongside cash, and should ask what in-kind support accompanies each tier rather than treating the grant as cash alone. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Rural AI Catalyst Fund for AI Literacy, Workforce Pathways and AI-Enabled Solutions in Rural American Communities are due December 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Rural AI Catalyst Fund for AI Literacy, Workforce Pathways and AI-Enabled Solutions in Rural American Communities is funded by TechSoup, with anchor investment from Google.org and a Community Advisory Council including the Aspen Institute, Center on Rural Innovation, CoBank, Communities Unlimited, Future Farmers of America, Partners for Rural Transformation and Partners for Rural Impact. Verify program details on the funder's official page before applying.
This opportunity targets applicants in Georgia, Nebraska, and Texas. Check the official notice for exact location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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.
The Climate Change AI Innovation Grants program supports catalytic projects using AI and machine learning for climate action, funding research and deployment challenges in climate change mitigation, adaptation, and climate science. Projects must create publicly available datasets and tools as digital public goods, and release open-source code. The program builds partnerships between academic researchers, non-profits, startups, companies, and governmental organizations to accelerate the research-to-deployment cycle. Past funded projects span climate modeling, emissions monitoring, renewable energy optimization, and disaster prediction across all continents.
The Halcyon Africa Innovation in Agriculture and Food Security Accelerator supports early-stage, impact-driven ventures across Sub-Saharan Africa that are strengthening agriculture and food systems through market-based solutions. The 2027 cohort is open for applications until 23 October 2026. Technology is explicitly central to the scope: the programme welcomes tech-enabled agriculture and food security solutions across ten priority sectors, including agricultural data platforms, digital extension services, precision agriculture tools and agri-fintech innovations, all areas where AI and machine learning are typically the core of a competitive product. Each selected venture receives a 10,000 US dollar equity-free stipend and 10,000 dollars in Amazon Web Services credits, together with access to Halcyon's community of more than 650 founders, professional advisory support, expert-led workshops covering leadership development, capital strategy and product-market fit, and investor networking. The format is hybrid, combining virtual sessions with in-person residencies in Accra, Ghana and Nairobi, Kenya. What distinguishes this from most AI-for-agriculture funding is the applicant profile: it targets commercial ventures with working products and demonstrated traction rather than research teams, requiring paid-pilot or post-revenue stage with a working minimum viable product. For African AgTech founders building AI-driven advisory, monitoring or decision-support tools who have passed the prototype stage and need capital strategy support and investor access more than research funding, this is a well-matched and currently open opportunity.
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