Applied AI for institutions that can't afford to lose control.

We bridge the gap between what AI can do and what institutions actually use. We turn cutting-edge capability into operational systems organizations can own and sustain.

We work with teams in climate, democracy, healthcare, and education.

The Problem

Most AI is built to maximize convenience, automation, and ultimately dependency.

The institutions solving society's hardest problems need advanced AI capability. But they can't accept black-box systems from vendors they can't leave. They need technology they can understand, modify, and take responsibility for.

The market doesn't serve them. Consultancies optimize for billable hours. AI vendors optimize for lock-in. Startups optimize for scale. And the gap between what AI can do and what these institutions actually use keeps growing.

STL exists to close that gap, on terms that keep institutions in control.

What We Do

Build AI Infrastructure

We design and build AI-powered systems for complex data problems: pipelines, models, infrastructure, and applications. We start from your context, not from a template.

STL treats AI as infrastructure inside complex social systems.

Transfer Capability

We stay through the hardest part: when technology meets real workflows and real people. Every engagement ends with you more capable than when we started.

A successful project is an organization that can continue without us.

Training and Advice

Workshops, trainings, and strategic advisory for leadership teams navigating AI adoption. We help you understand both the potential and the limits of what technology can do.

The best technology decisions come from leaders asking better questions.

Develop Public Tools

We reinvest profits into open-source tools and frameworks that serve the public interest. What we build for clients becomes shared infrastructure, generalized from real use, not designed in the abstract.

Impact funded by profit, not charity.