Pragmatic AI Labs is a practitioner-led technology company — open source AI infrastructure written in Rust, taught through hands-on work, and open for teams who want to build on it directly.
You're one person with a repo and something to ship. Take the tools, take the material, go.
You own infrastructure other people depend on, and a group that needs to be fluent in it.
You want the people who wrote the stack in the room while you deploy it.
Sovereign AI you actually own: models and pipelines that run on your infrastructure, in your jurisdiction, on a Rust stack you can audit line by line.
We embed with your engineers, stand the platform up, and leave your team able to run it without us. No black boxes, no per-seat dependency on a vendor's API being up.
The Rust tools we wrote for our own work, installable in one line. Not a demo, not a trial — the thing we use.
Code and quality analysis for agent-era codebases — run it in CI, run it before you ship.
Machine learning primitives in pure Rust — train, evaluate and ship models with no Python runtime in the loop.
+ the rest of the toolchain
All repositories →The Applied Programs — our full curricula, open-sourced on GitHub. Fork them, teach them, run them inside your own org.
Every project, rubric and reference implementation we use ourselves, under an open license. If you'd rather assemble your own path than buy one, start here.
DS500 is the hosted version: sequenced projects, graded work, environments that come up ready, and a record of what you actually shipped.
Same material as the open frameworks, with the parts you can't fork — review, cohorts, tracking, and a place for a manager to see progress across a group.
Our courses run where you already are. Taught by the people who wrote the tools, against real repositories.
Tell us where you are and we'll point you at the shortest path — a repo, a program, or a room with our engineers in it.