1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
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.
Get alerted about grants like this
Save a search for “Google.org” or related topics and get emailed when new opportunities appear.
Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Google. org Impact Challenge: AI for Science Applications are now open GOOGLE. ORG IMPACT CHALLENGE: AI FOR SCIENCE Accelerating scientific breakthroughs with the power of AI AI is a critical lever to unlock scientific breakthroughs and understand the fundamental mechanisms of human health and climate systems.
Building on the success of the inaugural AI for Science fund , Google. org is launching a supercharged initiative at the intersection of artificial intelligence and scientific discovery. By empowering researchers with catalytic funding and technical expertise, we aim to accelerate our understanding of key scientific questions—achieving Nobel-level breakthroughs and enabling science at digital speed.
The Google. org Impact Challenge: AI for Science is a $30M global open-call designed to empower researchers and organizations with the funding, tools, and technical expertise they need to accelerate scientific breakthroughs. Beyond funding, organizations may participate in a Google.
org Accelerator and receive six months of dedicated pro bono technical support from Google experts and access to Google Cloud credits to help bring these projects to life. Nonprofits, social enterprises, and academic institutions submit their application for funding towards scientific projects that will help accelerate their social impact. Applications will be reviewed by Google.
org, Google subject matter experts, and external third-party specialists from our partner organizations, including Renaissance Philanthropy and the Centre for Public Impact. Additional selection criteria are detailed below. Applications close April 17, 2026.
Selected organizations will receive funding from Google. org (between $500K and $3M USD) and have the option to participate in a Google. org Accelerator, which supports organizations as they work to solve some of the world's most pressing scientific challenges by leveraging generative AI and agentic capabilities.
This multi-month program accelerates high-impact solutions through dedicated pro bono technical support from Google experts. Before applying, ensure your project can demonstrate the following: Scientific ambition & impact Projects must pursue high-impact research in the following areas: AI for Health & Life Sciences, AI for Climate Resilience & Environmental Science.
Proposals should be evidence-based and define clear, quantifiable success metrics. Innovative & responsible use of AI AI should be a core component of the solution, developed in alignment with Google’s Responsible AI Principles and shared via open-source licensing to benefit the public, or the solution should specifically enable future AI use cases (e.g. a foundational open dataset).
Applicants must provide a realistic execution plan, timeline, and budget. Teams must possess the necessary technical and domain expertise to successfully execute the proposed research. Scalability & sustainability Projects should demonstrate potential for scaled impact and/or relevance beyond their immediate scope.
Applicants are encouraged to articulate how their outputs will be discovered, adopted, and maintained across scientific domains and geographies. We’re particularly interested in proposals leveraging AI to help accelerate scientific breakthroughs in the fields of Health & Life Sciences and Climate Resilience & Environmental Science.
However, we remain open to exceptional proposals in other fields that offer significant impact with strong alignment across criteria. AI for Climate Resilience Accelerate scientific breakthroughs in the field of health and life sciences by supporting projects that decode the fundamental mechanisms of life and produce foundational models, agents, open datasets, and a predictive understanding of biology to revolutionize human health.
Previously funded recipients This project builds a foundational microbiological emulator that integrates biophotonics with deep learning to automate the detection of antimicrobial resistance, helping to significantly boost diagnostic speed from days to minutes, ultimately freeing up valuable clinical time, reducing the spread of drug-resistant infections, and streamlining patient care.
Technical University of Munich By integrating multi-scale biological data and an LLM interface, this initiative creates a "Google Maps" for human tissue that provides physicians with a holistic, spatially grounded view of cellular processes to enhance mechanistic diagnosis and intervention planning.
The University of Washington uses Fiber-seq and machine learning to create high-resolution maps of the human genome, helping to significantly boost the prediction of how genetic variations impact health, ultimately freeing up valuable research time, reducing genomic data complexity, and streamlining the path to personalized medical treatments.
AI for Climate Resilience Accelerate scientific breakthroughs that improve climate resilience, supporting projects that answer critical, unresolved questions about our planet’s living systems and/or enable novel approaches to better preserve those systems.
Previously funded recipients Innovative Genomics Institute This initiative develops an AI foundation model trained on cultivated rumen microbiomes to predict collective bacterial behavior and identify precise genetic interventions for mitigating enteric methane emissions.
This project leverages AI-guided pipelines and AlphaFold to predict disease resistance genes from plant and pathogen genomes, accelerating the breeding of resistant crops by identifying functionally relevant matching protein structures.
By implementing the "Hive Mind" methodology—a hybrid intelligence platform combining autonomous robotics, AI agents, and human expertise—this research discovers scalable, atomically engineered porous materials to capture atmospheric CO 2 and establish a new paradigm for solving global energy and health challenges.
Explore how Google is developing cutting-edge AI models to push the boundaries of scientific discovery and address global challenges. Frequently asked questions
Based on current listing details, eligibility includes: Any nonprofit charity, other nonprofit organization, public or private academic or research institution, or for-profit social enterprise company with a project that has a clear and explicit social impact purpose. Global eligibility. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $500,000 to $3,000,000 per selected organization. Total fund of $30 million across all awardees. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is April 17, 2026. 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 LinkedIn Future of Work Fund 2026 is a US$3 million global philanthropic grant initiative providing individual grants of $200,000 to $300,000 to nonprofit organizations preparing young adults for the AI-powered workforce. The fund addresses the rapid transformation of labor markets driven by AI, recognizing that 70% of skills required for jobs will change by 2030. Programs should teach AI literacy, digital skills, and workforce readiness; help career starters connect with employment through AI-enabled pathways; or provide training in adaptability, communication, and lifelong learning. Geographic priority is given to organizations in France, Germany, India, the United Kingdom, and the United States.
The Future of Health Grant 2026, founded by EPFL Innovation Park and CSS Insurance, provides equity-free funding to startups and early-stage companies driving transformative digital health and AI solutions. The program offers three cumulative non-equity levels: Ignition at CHF 10,000 with 3 months support, Proof of Concept at CHF 30,000 with 6 months support, and Validation at CHF 50,000 with 12 months follow-up, allowing up to CHF 90,000 total (approximately $100,000 USD). Focus areas include AI-based patient monitoring and clinical decision support, tech-enabled chronic disease prevention and mental health solutions, tools improving healthcare affordability and equity, and secure data sharing frameworks. Beyond funding, the program provides mentorship from health-tech experts, media visibility, and pilot opportunities with Swiss healthcare providers.