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Base models are a starting point, not a finished system. We build the environments, data, evaluations, and expert review that turn frontier models into agents you can trust in production.
The gap between a capable model and a reliable one is closed with disciplined training and measurement. We run that loop on your tasks, under your governance.
We model your actual tasks, tools, and constraints — not generic benchmarks — so what a model learns transfers to production.
Specialist reviewers grade the hard edges, adjudicate disagreements, and feed corrections back into training.
Task-specific evaluations and regression gates block any model that slips before it reaches your customers.
Adopt them independently or as a connected pipeline — each is observable, governable, and owned by your team.
By the numbers
How the training loop fits into your model development, governance, and existing stack.
Book a working session and we'll scope the training and evaluation loop for your highest-stakes task.