Pragmatic AI Labs Talk to us
SOVEREIGN AI INFRASTRUCTURE — WRITTEN IN RUST

One binary. Full AI velocity.

Provision it.
Train it.
Prove it.

One static binary per tool. No dependency tree to fight. No cloud dashboard required. No unverifiable claims.

Talk to us → See the stack
WHY THIS MATTERS

No dependencies is the point — not fewer, none.

Install it, run it, anywhere — a laptop, a GPU box you own, a machine you rented for the weekend. Less drag, more velocity: to ship, to maintain, to use it every day.

Most AI infrastructure is a patchwork instead — one setup to train, another to serve, a cloud SDK to provision, a container layer to paper over the gaps. Every piece drifts the moment you combine it with the others.

01FOUNDATION
Aprender
apr
FOR — ANYONE RUNNING MODELS ON HARDWARE THEY CONTROL

Run, train, and register any model — one tool, no dependencies

Aprender is the foundation everything else runs on.

01Model Registry
02Training & Fine-tuning
03Inference & Serving
04Agent Mode, built in
github.com/paiml/aprender →
02PROVISIONING
Forjar
forjar
FOR — PLATFORM TEAMS AND ANYONE WITH THEIR OWN METAL

Provision any machine for AI — no cloud dashboard required

Forjar sets up what Aprender runs on.

01Bare-Metal Provisioning
02GPU & Model Resources
03Drift Detection
04Zero Lock-in
github.com/paiml/forjar →
03VERIFICATION
PMAT
pmat
FOR — TEAMS ACCOUNTABLE FOR WHAT SHIPS

Prove your code and models actually work — not just claim it

PMAT verifies everything, automatically.

01Automated Quality Grading
02Continuous Testing
03Agent-Operated, from day one
github.com/paiml/pmat →
COMING NEXT
Hosted Platform
Provision, run, and verify, in one place.
Model Registry as a Service
Host anywhere, manage centrally.
Agent-Operated Infrastructure
The same control, at machine speed.
WORK WITH US

Three ways in.

Invest — fund the platform. STAGE / ROUND — TBD
Get support — run it in production, today.
Get early access — be first on the hosted platform.
Talk to us →