AI/ML Ops Case Studies
Take ML from notebooks to governed production. We manage features, experiments, approvals, and drift, and deploy resilient inference with canaries and rollbacks.
KubeflowMLflowTensorFlowPyTorchW&B
CV models to prod
Feature store + batch/online serving with rollbacks.
- Days to hours deploy
FeastKFServing
Governed ML lifecycle
Tracked metadata, approvals, and drift monitors.
- Audit ready in weeks
MLflow
A/B inference
Shadow + canary deployments and online evaluation.
- 30% win rate lift
Argo Rollouts