Fit the model to the work
We select for the outcome, data sensitivity, quality threshold, speed, operating cost and deployment environment—not for the logo.
Model choice follows
the work.
Use connected knowledge and systems to move from insight to action. We engineer with frontier and open-weight models. The right model is the one that performs against your real cases, fits your controls and can be replaced without rebuilding the system around it.
OpenAIAnthropicGeminiDeepSeekQwenKimi
Best available,
not locked in.
Frontier models can lead on capability. Open-weight models can lead on control, deployment flexibility or economics. We evaluate both and use the evidence to decide.
Prove it on real cases
Every choice is tested against an evaluation set built from your work. A model earns its place by performing reliably where it will actually be used.
Keep the system portable
The workflow, controls and evaluation evidence stay separate from any one provider, so the model can change when the evidence says it should.
Start with the work, then choose the model.
Bring us one process and the cases that define a good result.