1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsNRI-3.0 (NSF 21-559) is archived by NSF. Original URL 404. NSF NRI is a recurring program — check nsf.gov for successor programs.
NSF National Robotics Initiative 3. 0 is sponsored by National Science Foundation. The National Robotics Initiative 3.
0 (NRI-3. 0) supports fundamental research advancing the science of robot integration in the United States. Backed by a multi-agency coalition including NSF, USDA, NASA, Department of Transportation, NIH, and NIOSH, NRI-3.
Get alerted about grants like this
Save a search for “National Science Foundation” or related topics and get emailed when new opportunities appear.
Search similar grants →Based on current listing details, eligibility includes: U. S. academic institutions, nonprofits, and research organizations. Industry collaboration encouraged. Multi-agency support means eligibility may vary by specific track. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $3,000,000 per award (varies by track) 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 Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office issued solicitation DARPA-PA-25-07-02 for the Compositional Learning-And-Reasoning for AI Complex Systems Engineering (CLARA) program on February 10, 2026. CLARA aims to develop high-assurance AI systems that tightly integrate machine learning (ML) and automated reasoning (AR) through hierarchical composition of Bayesian models, neural networks, and logic programs. The program seeks to create a theory-driven, highly reusable, scalable foundation for high-assurance AI by merging machine learning's speed and flexibility with automated reasoning's verifiability and logical explainability. Technical Area 1 (TA1) focuses on developing new high-assurance ML/AR composition approaches including theory, algorithms, and open-source software implementations. Technical Area 2 (TA2) creates a software composition library to integrate validated TA1 tools into a common framework. Application domains include course-of-action planning, multi-condition medical guidance, supply chain and logistics, autonomous systems and command & control, wargaming, and science and technology design. Awards are expected to be executed by June 9, 2026. Proposals must be submitted via the DARPA BAA Tool at baa.darpa.mil.
The DARPA CLARA program seeks to create high-assurance AI by tightly integrating machine learning with automated reasoning. Rather than the current industry approach of loosely coupling ML with reasoning as an afterthought, CLARA funds research into deep compositional integration that produces AI systems with strong logical explainability and computational tractability. The program targets applications in autonomous systems, command and control, kill web operations, supply chain logistics, wargaming, and medical, financial, and legal domains. TA1 funds development of new high-assurance ML/AR composition approaches including theory, algorithms, and open-source code. TA2 builds a software composition library that integrates validated TA1 tools into a common framework. All software deliverables must use permissive open-source licenses. The program is managed by Benjamin Grosof in DARPA's Defense Sciences Office. Solicitation DARPA-PA-25-07-02 was published February 10, 2026, with full proposals due April 17, 2026 (extended from April 10 via Amendment 1).