1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
The Long-Term Future Fund (LTFF), managed by EA Funds under Effective Ventures Foundation, provides grants to projects working to positively influence the long-term trajectory of civilization, with AI safety and alignment research as its largest funding category. The fund distributes approximately $5 million per quarter across 100+ grantees.
Common successful applications include 3-12 month independent research projects ($20,000-$80,000), conference travel and upskilling ($1,000-$10,000), and organizational seed funding ($50,000-$200,000). Applications are accepted on a rolling basis with typical response times of 6-8 weeks.
The fund supports technical research, policy analysis, advocacy, demonstration projects for risk mitigation, and training and recruitment infrastructure for longtermist researchers. There are no geographic restrictions, and both individuals and organizations may apply.
Get alerted about grants like this
Save a search for “Effective Ventures Foundation (operating as EA Funds)” or related topics and get emailed when new opportunities appear.
Search similar grants →Based on current listing details, eligibility includes: Open to researchers, practitioners, and organizations worldwide working on longtermist causes, particularly AI safety and pandemic preparedness. Both individuals and organizations eligible. No geographic restrictions. Applications requesting amounts above typical ranges require proportionally stronger justification. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Typical grants range from $2,500 to $200,000. Independent research projects: $20,000 to $80,000. Upskilling grants: $5,000 to $50,000. Organizational seed funding: $50,000 to $200,000. Total quarterly payouts approximately $5 million across 100+ grantees. 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.
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 IAPS AI Policy Fellowship is a fully funded three-month program for professionals seeking to strengthen practical policy skills and contribute to impactful projects in AI governance and policy. The Summer 2026 cohort runs from June to August 2026 with options to participate in Washington DC or remotely. The program begins with a two-week in-person residency in Washington DC followed by remote or in-person work with weekly mentorship and career development support. Fellows work full-time on independent AI policy projects covering areas such as AI regulation compute governance international AI agreements AI safety policy AI workforce impacts and responsible AI deployment. The fellowship received 240 applications for the 2026 cohort representing a 35 percent increase over 2025. IAPS is a remote-first organization and legally supports fellows in many countries. This fellowship is distinct from the Vista Institute for AI Policy Fellowship which focuses specifically on AI law and from the Cooperative AI Foundation fellowships which focus on multi-agent cooperation problems.
The Mozilla Foundation Democracy x AI Incubator funds technology projects that strengthen democratic institutions and civic participation through responsible AI. This cohort supports 10 projects at $50,000 each for 12 months, with top performers eligible for Tier II funding of $250,000. Projects must address one of three categories: (1) better information systems including verification tools, diverse information sources, and algorithmic transparency; (2) institutional transparency and accountability mechanisms; or (3) civic space protection and expansion including organizing tools, privacy technologies, and surveillance resistance. The incubator provides mentorship, peer learning, and connections to Mozilla's network alongside financial support. Applications require working technology with demonstrated traction, a committed team capable of 12-month execution, and at least partial open-source commitment or a clear roadmap to open source. This is distinct from other Mozilla programs and specifically targets the intersection of AI and democratic resilience.