Move beyond.
Own your AI.

Move off proprietary labs. We’re building the complete path to specialized models and infrastructure you control.

FIG. 01 — THE ARCHITECTURE OF INDEPENDENCEBUILT AROUND YOUR WORKLOAD ↗

FROM PROPRIETARY APIS

OpenAIAnthropicGemini

Open weights. Your infrastructure.

01 / The migration

A new foundation.
For the same ambition.

Bring your existing AI workflow. Our approach brings model selection, compute, training, and deployment into one considered process.

WORKLOAD MAPILLUSTRATIVE WORKFLOW

Your applicationPROMPTS + TOOLS

⟶

Task baselineDEFINE SUCCESS

→ Map model calls and tool dependencies
→ Build a representative evaluation set
Output: a clear migration baseline

02 / What stays with you

[↗]

Open weights and exportable training artifacts, with model licenses considered from the start. Keep your next move open.

▤

Training and inference in your preferred environment. Dedicated cloud resources or your own infrastructure.

⌘

Task-specific evaluations and agent harnesses. Move the workloads that meet your quality bar, and keep evaluating the rest.

03 / Let's talk

Tell us what you’re building and where you want more control. Choose a time below to talk through your AI workload.