When a custom model beats a general one
When your domain has jargon, compliance rules, or proprietary structure a frontier model can't pick up from context alone, and when you have enough labeled data to teach it. If a good prompt and a RAG setup will do the job, we'll say so.
How we ship
Data pipeline first. Evals second. Training third. We benchmark every release against both the previous model and the vanilla frontier model, so you always know what you're paying for.
What you get
A model you own, that gets better with every quarter of your data, and an eval harness that keeps it honest.