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Meta's Llama Startup Program reimburses early-stage U.S. startups for costs of using Llama models through hosted APIs via cloud inference providers. Members receive up to $6,000 USD per month for up to six months, along with hands-on technical support from Llama experts, resources for getting started with Llama, and access to the Llama developer community.
The program is designed to help startups build products on Meta's open-source Llama family of large language models across sectors including technology, financial services, healthcare and life sciences, telecommunications, and retail/eCommerce.
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Search similar grants →Based on current listing details, eligibility includes: Early-stage startups incorporated in the United States that have raised less than $10 million USD in funding and have at least one developer on staff. Industries encouraged include technology/software, financial services, healthcare/life sciences, telecommunications, and retail/eCommerce. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $6,000 per month for up to 6 months ($36,000 total) in Llama API credit reimbursement 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 Google.org Impact Challenge: AI for Science is a $30 million global open call to fund nonprofits, social enterprises, and academic institutions using artificial intelligence to accelerate breakthroughs in health and climate science. The challenge funds organizations applying AI to two priority domains: Health and Life Sciences (drug discovery, diagnostics, epidemiology, genomics) and Climate Resilience and Environmental Science (climate modeling, biodiversity monitoring, sustainable agriculture, carbon capture). Individual grants range from $500,000 to $3 million. Beyond funding, selected organizations gain access to technical mentorship from Google AI researchers, Google Cloud computing resources, and a multi-month accelerator programme. Applications close April 17, 2026. This is part of Google.org's broader $60 million commitment to AI impact challenges in 2026, alongside the separate AI for Government Innovation challenge.
Google.org's AI for Science Impact Challenge is a $30M global open call to empower researchers and organizations with funding, tools, and technical expertise to accelerate scientific breakthroughs using AI. Selected organizations receive between $500K and $3M USD and can participate in a Google.org Accelerator with dedicated pro bono technical support from Google experts and Google Cloud credits. Focus areas include AI for Health and Life Sciences (genomics, brain mapping, disease understanding) and AI for Climate Resilience and Environmental Science (biodiversity, agriculture, living systems). The multi-month accelerator program supports high-impact solutions leveraging generative AI and agentic capabilities.