Models in production are software in production. We bring the SRE, the eval rigor, and the cost discipline to make them stay in production.
Golden datasets, regression suites, and live drift checks — wired into the deployment pipeline, not a quarterly review.
Model gateway, routing, caching, and FinOps — so the cost curve doesn't eat the value curve.
Retrain triggers, rollback plans, and the runbooks a Tier-1 ops team can actually follow.
Stood up the eval and retrain pipeline that turned a one-off pricing model into a durable platform asset.
No. We build the platform with them, then leave the platform running and the team owning it.