AICOE | Builds — Three programs in civic AI

What AICOE builds

Three programs, one purpose: turn applied AI into civic infrastructure.

A systems approach

AICOE is not organized around initiatives or offerings. It is structured as systems that:

Simulate

Decisions

Develop

Applied Capabilities

Engage

The public

Integrate

With real-world environments

THE THREE

Civic Language
Model

A long-horizon research program, the CLM is trained on discrete, hyper-local data for hyper-local insight.

Civic
Stack

Applied AI for civic life — work that serves the people running cities and work that serves the people living in them.

AI
Labs

Co-built with a named civic institution in a named domain. The institution brings the problem, the data, and the deployment surface. AICOE brings the AI capability.

How systems interact

Simulations inform lab development.

Lab outputs feed into real-world systems.

Engagements introduce new variables.

Public experiences extend understanding.

System
inputs

Partnerships engagements

Institutional collaborations

Real-world challenges

Emerging technologies

System
outputs

Simulations and frameworks

Applied AI systems

Institutional briefings

Experiences

AICOE systems are designed to evolve. The structure is fixed. The work is not.

Why this shape

Civic AI needs three things at once: local data training, tools the community can use, and partnerships that put both to work in the open.

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St Petersburg Foundation

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