1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
The Polyphonic AI Fund for Surgery QuickFire Challenge, launched by Johnson & Johnson MedTech in partnership with NVIDIA and AWS, invites researchers and innovators worldwide to submit AI technologies that improve surgical outcomes.
The challenge focuses on three areas: surgical decision support (perioperative AI that augments care delivery and serves as a surgeon co-pilot), data management and governance (breakthroughs in data infrastructure, privacy, and consent management for surgical data), and surgical efficiency (boosting coordination across care teams and improving patient management).
Awardees receive up to $100,000 in grant funding plus mentorship from J&J experts, access to GPUs and accelerated computing resources from NVIDIA, and cloud services from AWS. The second cohort is currently accepting applications with quarterly award announcements through end of 2026. This is one of the few corporate-backed AI grants specifically targeting surgical robotics and operating room AI innovation.
Get alerted about grants like this
Save a search for “Johnson & Johnson MedTech” or related topics and get emailed when new opportunities appear.
Search similar grants →Based on current listing details, eligibility includes: Open to researchers and innovators worldwide working in surgical data science. Eligible applicants include academic researchers, startups, and established companies. Projects should demonstrate novel AI technologies applicable to surgical decision-making, data governance, or surgical efficiency. Applications reviewed on a rolling basis with quarterly cohort announcements. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Selected applicants receive grant funding up to $100,000 plus computing tools including GPU access, cloud platform services, ML/AI modeling toolkits, and SDKs from NVIDIA and AWS partners. 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 Alibaba Cloud AI Catalyst Program supports AI-focused startups and global AI firms with comprehensive resources including up to $120,000 in lifetime cloud credits, 2 billion free Model Studio tokens for access to Alibaba's generative AI platform, 1:1 Office Hours with AI experts covering products, solutions, and infrastructure, POC coupons, and invitations to Alibaba Cloud events worldwide. The program is designed to help AI startups accelerate their growth with technical, educational, and networking resources. Applications are reviewed within 4-5 business days, and successful applicants are notified via email. The program provides access to Alibaba Cloud's GPU infrastructure including H100s in the Singapore region, making it particularly attractive for APAC-focused AI startups. The promotion period runs from April 1, 2025 through March 31, 2026.
The Google.org Impact Challenge: AI for Government Innovation awards $1 million to $3 million each to selected nonprofits, social enterprises, and academic institutions that partner with governments to use generative and agentic AI to improve public services. Priority areas include healthcare access, crisis resilience, and economic infrastructure. The challenge funds partnerships where organizations work alongside government agencies to deploy AI solutions that demonstrably improve public service delivery. Beyond funding, selected organizations gain access to technical mentorship from Google AI experts, Google Cloud computing resources, and a structured multi-month accelerator programme. Applications close April 3, 2026. This is part of Google.org's broader $60 million commitment to AI impact challenges in 2026, alongside the separate AI for Science challenge.