Bigger than any single technology.
It isn't a product category, and it isn't a synonym for "AI done nicely." It's a discipline — a way of designing, building, governing, and staffing technology so it serves people first.
The definition we work from
Public interest technology applies technical skill to advance the public good — especially for the people historically least served by the systems around them. It's interdisciplinary by nature: engineers and designers, but also lawyers, organizers, researchers, public servants, and members of the communities a technology touches. The common thread isn't a tool. It's a stance: people at the center, justice and dignity as design requirements, and accountability as a feature you can verify.
Why "beyond AI" is the whole point.
AI is real, useful, and easy to over-credit. We use it where it earns its place. But the parts that decide whether a system actually serves people are rarely the model.
People
Who is in the room when it's designed — and who is on the receiving end when it ships.
Processes
The intake, the queue, the appeal — where most public technology succeeds or fails a person.
Policy
The rules, consent regimes, and retention schedules that decide what a system may do.
Public understanding
Whether affected people can see how it works, question it, and push back.
Ecosystem
The funding, workforce, and shared standards that let good technology exist at all.
Get those right and a plain database can be a public triumph. Get them wrong and the most advanced model is just a faster way to fail people.
A moment that needs builders.
Technology is reshaping civic life faster than institutions can adapt, and the field meant to keep it accountable still runs hand-to-mouth — too often, the word "technology" makes a civic project harder to fund, not easier. We exist to change that: to prove public-interest technology can be built to a high standard, sustained, and trusted — and to grow the people and rules that make it last.