Products · ModelOps
Every run tracked, every model accounted for
Experiment tracking, model registry, deployment and monitoring across the full model lifecycle — with managed MLflow built in.
Track
Managed MLflow logs parameters, metrics and artifacts for every experiment — no servers to run.
Register
Versioned model registry with lineage back to datasets, code and the cluster that trained it.
Deploy
One-click promotion from registry to Token Factory endpoints or your own serving stack.
Monitor
Latency, drift and quality alerts wired into your channels — catch regressions before users do.
The full lifecycle, one platform
ModelOps closes the loop with the rest of Infraeon: datasets from DataOps, training on Compute, serving on Token Factory — every artifact and metric connected by lineage.
- Managed MLflow, no ops burden
- Registry with dataset & code lineage
- Deployment and monitoring built in
Start your journey today
Tell us about your workload — an engineer, not a sales bot, will get back to you within one business day.