1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
2026 round abstract deadline March 30, 2026 11:59pm PT; seed grants reviewed on rolling basis.
AI for Math Fund is sponsored by Renaissance Philanthropy (funded by XTX Markets). The AI for Math Fund supports projects that advance the pace and impact of mathematical discovery by developing open-source tools, increasing the size and quality of datasets for AI models, and improving the ease of use of tools for mathematicians.
This is highly relevant to advanced scientific computing mathematical methods, particularly in the context of scientific AI.
Get alerted about grants like this
Save a search for “Renaissance Philanthropy (funded by XTX Markets)” 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.
AI for Math Fund — Renaissance Philanthropy – A brighter future for all through science, technology, and innovation The AI for Math Fund seeks to advance the pace and impact of math discovery by supporting projects that are important for the field. XTX Markets is the founding donor of the AI for Math Fund. Explore the Fund’s first 29 grant awards.
The AI for Math Fund supports projects and initiatives that apply AI and machine learning to mathematics. Our primary offering is subgranting. Through open funding calls, we uncover new ideas to address key AI For Math needs including promising technical research, new paradigms and concepts for machine learning research in mathematics, and critical tools to empower mathematicians.
AI for Math Fund: 2026 Grant Details The next round of the AI For Math Fund was announced in March 2026. Grants may range between $100K and $1M and are intended to support 12-24 months of work. Proposals are encouraged across a range of budgets, maturity stages, and types (e.g., exploratory / proof-of-concept ideas, feature builds, upgrades).
Open to individuals and teams worldwide. For specific eligibility criteria, application instructions, and review timelines, read our AI For Math Fund Request for Proposals Document . Abstract : Submit an abstract here by March 30, 2026 at 11:59 pm PT .
Proposal : Those who are invited to submit a full proposal will be notified by early May 2026. All code, datasets, and research outputs must be open-access, with preprints shared in public repositories. AI for Math Summer Fellowships We are excited to launch AI For Math summer fellowships!
Through this program, we will select and place highly talented undergraduate, master’s, and/or PhD students within 2025 AI For Math Fund winner teams for a period of 10 weeks (June - August 2026). The program will operate via a placement-based model, where fellows are embedded directly within selected AI For Math project teams.
Duration : 10 weeks (mid-June to August 2026) Supervision : Each fellow will have a clearly designated mentor within the project team In addition to project work, fellows may participate in: A program kick-off/orientation End-of-summer presentations showcasing their work Fellows will receive a $20,000 - $30,000 USD stipend for the 10-week period (commensurate with qualifications, geography, and work scope).
April 10 : Application window closes April 30 : Final notifications to applicants June 15 : Fellowship kickoff Submit an application here by April 10, 2026 at 11:59 pm PT . Seed grants will support early-stage initiatives and emerging opportunities at the intersection of AI and mathematics. See details here .
Applicants may submit applications for seed grants up to $100,000 for the following categories: Early-stage research or prototypes exploring new approaches to automated theorem proving, AI-assisted proof development, or mathematical reasoning. Datasets and benchmarks for training or evaluating AI systems on mathematical tasks.
Tools or infrastructure experiments , such as integrations with proof assistants or early versions of AI-assisted mathematical tooling. Field-building resources and events , including conferences, workshops, tutorials, or educational materials that expand participation in AI for Math. Submit an application here .
Applications will be reviewed on a rolling basis. For any questions about the AI for Math Fund, please contact aiformath@renphil. org.
Based on current listing details, eligibility includes: Researchers at universities and organizations. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Not specified Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is March 30, 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.
Past winners and funding trends for this program
EPSCoR Research Infrastructure Improvement Program: Focused EPSCoR Collaborations Program (FEC) is sponsored by U.S. National Science Foundation. The FEC program builds interjurisdictional collaborative teams of EPSCoR investigators in STEM focus areas. Projects are investigator-driven and must include researchers from at least two EPSCoR eligible jurisdictions with complementary expertise to address challenges. The program aims to drive discovery and build sustainable STEM capacity. Tennessee is an EPSCoR-eligible jurisdiction.
Engineering of Biomedical Systems (EBMS) Program is sponsored by U.S. National Science Foundation (NSF). The EBMS program supports fundamental and transformative research at the interface of engineering and biomedical sciences to solve biomedical problems. Projects should focus on high-impact, transformative methods and technologies, including the development of validated models (living or computational) of normal and pathological tissues and organ systems, and advanced biomanufacturing of three-dimensional tissues and organs.