Wide environmental shot of developers collaborating over code in a sunlit New York civic lab, 35mm lens, natural bright daylight.
Wide environmental shot of developers collaborating over code in a sunlit New York civic lab, 35mm lens, natural bright daylight.
Read Our Audits
Rigorous Equity

Algorithmic tools built for public good.

We design and deploy open-source software with audited datasets, ensuring advanced machine learning serves grassroots communities directly. Our tools address systemic barriers in education and civic infrastructure.

Our Methodology

Radical algorithmic equity.

We reject opaque closed-source models. Our software is designed alongside educators and civic leaders directly in local classrooms and urban labs, ensuring technology directly supports social mobility and equitable progress.

True technical rigor requires public accountability at every stage of deployment.

Dr. Aris Vance, Research Director

By maintaining audited datasets and completely open-source codebases, we establish a verifiable standard for public-interest engineering.

A software researcher demonstrating an open-source educational interface to students in a modern, brightly lit classroom, documentary photography, 35mm lens.
A software researcher demonstrating an open-source educational interface to students in a modern, brightly lit classroom, documentary photography, 35mm lens.
Active Research

Engineered for community impact.

Our team of developers and researchers operates directly within civic spaces. We build tools that address real-world educational and social mobility barriers, translating complex machine learning into local progress.

We partner with New York public schools and global non-profits to test, refine, and deploy our models where they are needed most.

Collaborate

Build with us.

Whether you are an academic partner seeking audited deployments, a civic leader, or an open-source developer, join our New York lab to democratize advanced technology.