Most tech-for-good funding targets organizations that already have a working product. These three programs sit earlier in the pipeline, funding solutions from concept stage through prototype, across very different scales.

Global. Next submission window opens September 2026.

solve.mit.edu/innovators/become-a-solver

Funder profile: kindora.co/funders/mit-solve

What we know: Solve runs five themed challenges (climate, learning, health, economic prosperity, Indigenous communities) and selects roughly 50 semifinalists per cycle. Selected Solver teams enter a nine-month fellowship with mentorship, coaching, and networking alongside grant funding. The program is open to nonprofits, for-profits, hybrids, and fiscally sponsored teams worldwide.

Realistic fit: early-stage teams with a tech-enabled prototype addressing one of the five challenge themes.

$500 to $3,000. Global (Global South, rural, and peri-urban communities prioritized). Rolling through November 11, 2026.

interledger.org/grant/local-impact

Funder profile: kindora.co/funders/842364885

What we know: This funds community-level projects that expand digital financial access through events, workshops, research, or storytelling. The foundation has made 14 expenditure-responsibility grants totaling $2.2 million across six countries, with top recipients in the Netherlands, India, Germany, Canada, and South Africa. This mini-grant stream is a much smaller vehicle than Interledger's typical awards (foundation-wide median of $39,260).

Realistic fit: community organizations or individuals running local fintech-access events or research, especially in the Global South.

Amount not published. Global. Rolling.

hrf.org/program/ai-for-individual-rights/ai-for-individual-rights-fund/

Funder profile: kindora.co/funders/202669700

What we know: HRF funds activists, researchers, educators, and open-source developers building AI tools that protect privacy and counter authoritarian surveillance. The foundation's broader portfolio centers on dissident support, anti-repression advocacy, and financial freedom tools, so funded projects tend to have a clear human-rights-under-authoritarianism angle.

Realistic fit: developers or orgs building open-source, privacy-preserving AI tools with a direct line to protecting people in repressive contexts.

The common thread: all three reward a clear problem statement over organizational scale. If you're applying, lead with the specific population your tool serves and the evidence it works, not your org's track record.

Kindora can help you compare funder fit and find connection paths before you apply: kindora.co