We try to measure honestly. Numbers on this page reflect the Foundation's direct programming and direct investments — not the broader Stanford courses, MOOCs, or research that our co-founders contribute to in their professional capacities. Where we don't yet have data, we say so.
In December 2025, the Foundation ran a teacher-training and student-discovery program at the Penang Science Cluster in Malaysia, in partnership with the U.S. Embassy in Kuala Lumpur and APPGM-SDG. Roughly twenty-five teachers were trained directly. Across the cohort, the curriculum reached on the order of 2,500 students — a multiplier of roughly 100 students per teacher trained.
From early survey responses (six teachers, eleven students): every responding teacher adopted AI tools or design thinking techniques in their classroom, every responding teacher reported saving one to five hours per week through AI workflow integration, and 73% of surveyed students reported discovering a career path they had not seriously considered before.
Before joining this workshop, I felt unsure and unclear about my future career direction… This workshop gave me the opportunity to explore my interests and skills more deeply, and helped me see how they can be applied in ways that are beneficial not only to myself, but also to society.
ChatGPT helps me design lesson plans, generate discussion questions, and create differentiated learning materials… which saves time and allows me to focus more on student engagement.
Cumulative reach across each program's lifetime. Brackets ([TKTK]) mean we have programming but haven't yet finalized the count; a dash (—) means a category is not applicable for that program.
| Program | Students | Teachers | Schools |
|---|---|---|---|
| San Francisco State University The Foundation's first university partnership, launched during the pandemic. Helped stand up the SFSU CS Mentorship Program connecting current Computer Science majors with alumni for mock technical interviews and career guidance. First-cohort alumni have since returned as mentors (one is now an engineer at Google). Foundation's direct involvement has since wound down; the program continues today under SFSU and its alumni network — the model the Foundation hoped for. | — | — | 1 |
| Malaysia (Penang) 2025: roughly 25 teachers trained, reaching on the order of 2,500 students across their classrooms. Early survey responses from 6 teachers / 11 students show 100% teacher AI-tool adoption, 73% of surveyed students discovering new career paths. | ~2,500 | ~25 | multiple |
| Malaysia (Kuala Lumpur) Talks at Universiti Teknologi Malaysia (faculty conversations) and Parliament (APPGM-SDG). | ~20 | ~30 | — |
| Tanzania Direct teaching plus teacher-training cohort at LOHADA. | ~50–60 | ~20 | 1 |
| Vietnam Programming across 2–3 events with Fulbright Vietnam, UEH College of Business, and the HKU/AWS workshop. | ~30–40 | ~20 | 3 |
| Molokai March 2025 residency with teacher Kawika Gonzales. | ~20 | 1 | 1 |
| Taiwan Two middle schools, ITRI helped organize. June 2018. | ~75 | — | 2 |
| MIT MEET Partnership support for MEET's three-year program. | ~80 | — | 1 |
| Uganda 500+ refugee entrepreneurs trained to date; 65% of businesses in initial cohorts are women-led. Microloans of $500–$1,000 disbursed to top performers via Challenges Uganda; curriculum and research with Makerere University Business School. RCT shows refugee mentors significantly improve idea quality, particularly for women. | 500+ | 65% women | — |
Reach matters, but it's not the same as impact. These are the longer-arc outcomes we track across cohorts.
Percentage of student participants who report discovering new career paths through Foundation programming.
Share of trained teachers who actively adopt AI tools or design thinking techniques in their classrooms after the program.
Hours per week saved by teachers through AI workflow integration — time freed up to spend on student engagement.
Indirect students reached for every teacher we train — the leverage of a teacher-training model versus direct student programming.
Teacher and student "would you recommend this experience" rating, averaged across responding participants at end-of-program.
Whether teachers, schools, and faculty continue running Foundation-supported programming after our funding ends — the truest test of whether the work transferred.
As a private operating foundation, we are required to deploy at least 3.33% of qualifying assets into active programming each year. Our 2025 distribution exceeded this minimum.
The Foundation makes mission-related investments (MRIs) for dual-bottom-line returns and program-related investments (PRIs) where social impact takes precedence over financial return. Personal angel positions held by our co-founders are not Foundation activity and do not appear here.
Endovascular brain-computer interface (Stentrode™) restoring digital autonomy for patients with paralysis from ALS, stroke, and spinal cord injury — implanted via the jugular vein, no open-brain surgery required. FDA IDE status; aligned with SDG 3 (Good Health).
AI-powered floor scale ("Footprint") that captures daily foot images during a 10-second weigh-in, identifying inflammation and ulcers weeks before visible. Aimed at preventing diabetic amputations in the 1.6M+ underserved high-risk patients in the U.S.
Founded by Stanford engineers Greta Meyer and Amanda Calabrese. Reengineering everyday women's health products — starting with the Sequel Spiral Tampon (FDA 510(k) cleared). First major design innovation in the $6B+ U.S. feminine hygiene market in 80 years. Aligned with SDG 5 (Gender Equality).
Online mental health platform expanding access to therapy for underserved populations. Foundation participated in successive SAFE rounds at $7M and $14M caps, signaling continued conviction. Foundation-supported capacity helped enable approximately 3,000 therapy sessions through 2024.
Mental health support platform designed for teens. The Foundation's investment supports access to age-appropriate digital mental health tools at a moment when adolescent mental health needs are accelerating beyond traditional clinical capacity.
Continuous-fermentation biomanufacturing platform reducing the cost and emissions of producing bio-based chemicals, ingredients, and materials at scale. One of the Foundation's earliest mission-related investments (2021), aligned with the Foundation's SDG-oriented thesis on climate and sustainable production.
Autonomous cargo aircraft designed to lower the cost and carbon intensity of air freight, including for routes serving emerging-market and humanitarian-logistics needs. One of the Foundation's earliest mission-related investments (2021), held across two participation rounds.
Capital-efficient venture studio model targeting aging, pandemic preparedness, and food security. Builds companies around licensed IP and validated prototypes; targets 18–36 month exits with strict per-company caps to maximize disciplined impact.
Mission-aligned fund position supporting frontier technology and capital-efficient innovation.
Below-market-rate loan to Oze, a fintech platform closing the $330B credit gap for West African small businesses. Bridgespan-calculated 36x social return on investment; transitions MSMEs from predatory lenders (20%/mo) to formal banking (3%/mo). MIT Solve and Visa-recognized.
Investment criteria: clear alignment to the UN Sustainable Development Goals, scalable impact potential, strong founding teams, and measurable outcomes — with a particular focus on women, underrepresented founders, and ventures serving underserved populations.
Foundation-attributable only. Numbers on this page reflect programs the Foundation directly funded or ran. They do not include the broader teaching, research, or MOOC reach of our co-founders in their professional capacities.
Honest counts. Where we don't have a verified number, we mark it [TKTK] rather than estimating. Where a program had no activity in the reporting year, we say so with a dash.
Annual reporting. This page is updated each January with the prior calendar year's numbers.
Survey instruments. Self-efficacy and outcome surveys use validated short-form instruments, administered anonymously and aggregated at the cohort level. Individual responses are never published or shared.
