Who we are
Pragmatic AI, in short.
Three convictions
One answer: an AI you own.
01
Cost control
Pay-per-token makes costs unpredictable, growing, and dependent on your providers’ goodwill. We invert the logic: a controlled investment, predictable costs.
02
Total sovereignty
Beyond security and confidentiality, sovereignty means mastering the models you host — replacing them on your schedule, never breaking your processes.
03
Geopolitical independence
Access restrictions, trade tensions, third-party API dependency: mastering AI inference is an absolute priority. Local inference is a strategic imperative.
Why us: a founding team that pushed the limits of open source to prove local inference is a real alternative to cloud APIs; a proven stack — NVIDIA GPUs, CUDA and TensorRT for inference performance, Pragmatic Studio for the agentic layer; and a pragmatic approach: decomposed processes, measurable automations, quantified gains.
Why now: AI adoption is exploding — and with it the token bills; geopolitics restricts model access — sovereignty is no longer an argument, it is a constraint; and the most demanding sectors (healthcare, legal, finance & insurance, accounting, critical industry, public sector) are ready to switch to an AI they control.
Our ambition: that every company can rely on a powerful AI, predictable in cost — and that it owns.
Talk to us
Contact our commercial team
Tell us about your processes, your constraints and your volumes — we answer with numbers, not slides.