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"Gates Foundation Open Source AI Model for Tutoring (EDU AI) for K-12 Math Tutoring Models" is currently closed and not accepting applications.
This is the flagship model-building award inside the K-12 AI Infrastructure Program, and its scale sets it apart from the program's other grants: a single anticipated award of USD 7,000,000 to USD 8,000,000 over 36 months, beginning October 2026.
The Gates Foundation funds and manages the award directly - proposal review and award monitoring sit with the foundation, while Digital Promise's K-12 AI Infrastructure Project supplies community support and dissemination services.
The technical goal is an education-focused, open-source AI model purpose-built for math tutoring, motivated by the observation that general-purpose frontier models underperform as tutors for underserved student populations. That framing matters for applicants: the evaluation bar is tutoring effectiveness with real students rather than benchmark scores, and models must be tested on U.S. K-12 student data.
Participation is open to any organization or institution, which is unusually permissive for an award of this size and means industry labs, universities and nonprofits compete in the same pool. The process ran in two stages - a letter of intent through a Qualtrics form, closing 25 May 2026 at 11:59 PM PDT, followed by a full RFP released to invited applicants in mid-June 2026.
The LOI window has closed and the page states submissions are no longer accepted, so this entry is a reference point for the K-12 AI Infrastructure Program's cadence rather than a live opportunity; organizations interested in the open-source education AI space should monitor the program for subsequent cycles.
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Or search similar grants →According to the current listing, eligibility includes: Participation is open to any organization or institution, including industry research labs, universities and nonprofits; there is no restriction to a particular organizational form. Models developed under the award must be tested on U.S. K-12 student data. The award supports development of an education-focused, open-source AI model targeting improved math tutoring effectiveness for K-12 students, with explicit attention to underserved student populations where current general-purpose AI systems underperform. A single award of USD 7,000,000 to USD 8,000,000 is anticipated for a 36-month project period beginning October 2026. The application ran as a two-stage process: a letter of intent submitted via a Qualtrics form with a deadline of 25 May 2026 at 11:59 PM Pacific Daylight Time, followed by a full request for proposals issued to invited applicants in mid-June 2026. The letter of intent stage is closed and submissions are no longer accepted. The Bill & Melinda Gates Foundation manages proposal review and award monitoring; the Digital Promise K-12 AI Infrastructure Project provides community support and dissemination services rather than making the award. Confirm the full requirements in the official notice before applying.
The current listing shows A single anticipated award of USD 7,000,000 to USD 8,000,000 for a 36-month project beginning October 2026. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 25, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Gates Foundation Open Source AI Model for Tutoring (EDU AI) for K-12 Math Tutoring Models is funded by Bill & Melinda Gates Foundation (administered with the Digital Promise K-12 AI Infrastructure Program). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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