Community-first AI infrastructure
We work with communities where AI infrastructure might get built, on what protects them and how the community benefits. Then we make those answers binding on whoever builds there.
As AI shifts from training models to running them, it moves into cities, closer to the people and businesses it serves. The communities that host it should be better off for it, and should be the ones who say what better off means.
Reuse before build. We start with existing buildings and power. No new land, no new buildings.
Small by design. Sized to fit an existing building, not a hyperscale campus.
Transparent from the start. What is proposed, what we know about its impact, and what is still unsettled.
Water. Limits on how much a site uses, written as a cap rather than a target.
Emissions. Limits on what a site puts into the local air, measured rather than promised.
Noise. A decibel limit at the property line, not a setback distance.
Space. Room in the building for local organizations and businesses, at rates they can actually meet.
Economic opportunity. That space can support local businesses, training and hiring.
An endowment. Long-term funding the community directs, built to outlast the build.
build data centers or operate them.
arrive with a plan already made.
speak for your community.
We're open to talking with community members, leaders, city staff, property owners, and operators.
hello@urbaninference.ai