Fund the work

Fund the capacity that makes
useful AI endure.

Support local builders, first services, institutional learning, and the evidence needed to carry responsible AI from a promising demonstration into lasting local capability.

The funding thesis

Different social missions require different capital.

Venture capital rightly funds what can scale and exit; it cannot fund what must stay: services for district hospitals, community clinics, and local institutions, and the capability to run them. Philanthropic and catalytic capital can. The model is designed against the specific risks that waste well-meant funding, weak ownership, poor institutional fit, absent transfer, and dependency on outside vendors, and it is non-extractive by construction: no equity taken, surplus recirculating, capability compounding where it is built.

Fundable units

What philanthropic capital unlocks.

A country partnership

The flagship: a multi-year arc of strategy, delivery, and transfer that builds a country’s or region’s own capability, beginning through the hackathon front door.

Builder seats & first services

Sponsored places in cohorts and studios, and the first services a community puts into operation, the seeds from which local ventures grow.

Cooperative infrastructure & evidence

The shared technical infrastructure builders stand on, and the evidence program that documents everything honestly, negative results included.

Gifts are received by the Institute, a Delaware nonprofit corporation; the Moonshadow Fund serves as its philanthropic vessel for founding and seed commitments. Restricted funds are governed by written agreement, and the flow of funds between the Institute and doáb is published.

What is measured and reported

More than deployment counts.

Reporting covers five balanced areas: immediate delivery (services in sustained use, workflows improved); participation and learning (who set priorities, built, governed, and evaluated); institutional capacity (decision processes adopted, teams able to maintain and adapt); ownership and durability (what was transferred, and what endures after support recedes); and shared knowledge (findings published, negative results documented, methods adapted elsewhere).