Serve predictions in production.
Promote any completed training — from a goal's tournament or a manual pipeline — to a hosted endpoint. Run inference against the freshest data, and watch latency, drift, and quota in one place.
Deployments
Hosted endpoints. Autoscaled. Rollback-ready.
- Shared or dedicated hosting — same API surface
- Autoscale by traffic, route by region
- Auto-promote on a schedule, or with one click
- Atomic rollback to any prior promotion
Inference
Request a forecast with one API call.
- REST, streaming, and batch — same call signature
- Inputs come from the model's segment, so the data shape never drifts
- Per-call latency, drift, and cost — captured by default
Promote in one click
From training to a stable endpoint — auto-promote on a schedule or manually with a click.
Shared or dedicated
Cost-efficient sharing for many small models, dedicated isolation for the heavy ones.
Regional data residency
Run workloads in the workspace's home region and keep customer content at rest there.
Live observability
p50/p95/p99 latency, error rates, drift, and quota — across every deployment.
REST · streaming · batch
One interface. One call signature. Three workloads.
Per-call cost
Every prediction is metered. Quotas, alerts, and credit-aware billing built in.
Reversible
Every promotion has a rollback target. No fire drills, no late-night rollouts.
Access and audit controls
Workspace isolation, RBAC, SSO, scoped API tokens, audit logs, and regional residency.
Put your data to work.
Connect your own data or start with a sample. Explore automatic insights, ask questions, engineer features, and build a forecast in the same workspace.