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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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Or search similar grants →According to the current listing, eligibility includes: Applicants must be based in Sub-Saharan Africa and must lead ventures at the paid-pilot or post-revenue stage with working minimum viable products and demonstrated commercial traction, so pre-product teams, research groups and pure concept-stage ideas are not eligible. This is a commercial accelerator rather than a research programme, and the traction requirement is substantive: applicants should expect to evidence paying pilots or revenue rather than letters of interest. Leadership requirements are specific. The applicant must be the CEO or primary decision-maker, working full-time on the venture, fluent in English, and at least 21 years old. Teams may include up to one co-founder, and all participants must commit to full programme participation, which is a real constraint given the hybrid format combining virtual sessions with in-person residencies in Accra, Ghana and Nairobi, Kenya; founders who cannot travel to both residencies should weigh this carefully before applying. Substantively, the programme covers tech-enabled agriculture and food security solutions across ten priority sectors, explicitly including agricultural data platforms, digital extension services, precision agriculture tools and agri-fintech innovations, so AI-driven crop monitoring, advisory and decision-support ventures fall squarely within scope, as do AI-enabled supply chain and credit-scoring products. The applications deadline is 23 October 2026. Prospective applicants should review the current programme terms on Halcyon's site, since stipend amounts, residency locations and cohort structure have varied between Halcyon cohorts, and should confirm whether their country is treated as Sub-Saharan for programme purposes. Confirm the full requirements in the official notice before applying.
The current listing shows each selected venture receives a 10,000 US dollar equity-free stipend plus 10,000 US dollars in Amazon Web Services credits, so amount_min is recorded as 10,000, the cash component, and amount_max as 20,000, the combined value of cash and credits. Founders should be clear about what that distinction means in practice. The 10,000 dollars is unrestricted and equity-free, which is genuinely useful working capital for an early-stage venture and carries no dilution, but it is a stipend rather than investment and will not fund hiring or substantial product development. The 10,000 dollars in AWS credits is in-kind and only has value to a venture that is actually running or willing to run infrastructure on AWS; for an AI-centric AgTech venture doing model training or inference at scale those credits are meaningful and can displace a real cash cost, while for a venture built on another cloud or on lightweight infrastructure they are close to worthless. The substantive value of the programme is not the 20,000 dollars at all. It is access to Halcyon's community of more than 650 founders, professional advisory support, expert-led workshops on leadership development, capital strategy and product-market fit, and investor networking. Applicants should therefore evaluate this as an accelerator placement with a modest stipend attached, and factor in the real cost of participation: the programme is hybrid, combining virtual sessions with in-person residencies in Accra, Ghana and Nairobi, Kenya, and requires full participation from the CEO or primary decision-maker working full-time. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Halcyon Africa Innovation in Agriculture and Food Security Accelerator 2027 for Tech-Enabled Ventures Using AI, Agricultural Data Platforms and Digital Extension Services are due October 23, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Halcyon Africa Innovation in Agriculture and Food Security Accelerator 2027 for Tech-Enabled Ventures Using AI, Agricultural Data Platforms and Digital Extension Services is funded by Halcyon, with Amazon Web Services providing cloud credits. 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.
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.
Foresight's AI for Science and Safety Nodes RFP is a small-cheque, high-variance programme aimed at work that conventional funders will not touch, and it is one of the few AI safety calls verifiably open with a future deadline of 31 October 2026. The framing joins two problems: ensuring a safe transition to highly capable AI, and using AI to unlock scientific breakthroughs. Proposals sit in one of three layers. Local compute covers community-owned and controlled computational infrastructure - an explicitly decentralist counterweight to frontier-lab concentration. Coordination and accountability covers human-AI interaction, supercollaboration and AI risk assessment mechanisms. AI-first science covers automated nanotechnology, whole-brain emulation and frontier biotechnology. The single most important screening criterion is stated plainly: Foresight wants projects where AI is the primary engine of progress, not projects where AI is, in its words, tapped onto an existing research program - so an established lab adding a machine learning component to ongoing work is the archetype of what gets rejected. Evaluation weights alignment with a focus area, impact on AI existential risk reduction, feasibility within short AGI timelines, execution capability, and high-risk high-reward potential. Two conditions are non-negotiable: all outputs must be open-sourced, and applicants must commit to active participation at Foresight's San Francisco or Berlin nodes, which makes this poorly suited to a purely remote team. Application is a single Airtable form with a roughly three-month review.
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