The data platform stops being something you operate.
Pipelines that fix themselves when schemas drift. Anomalies that triage and remediate themselves. Compute that routes itself to the cheapest engine that can answer the question. The platform operates for you, not the other way around.
What’s achievable — measured against your real workload
9
governed action types agents execute — quarantine, masking, repair, refresh, sync and more
Impact-gated
predicted blast radius stops a consequential action before it runs
Self-healing
crash-to-recovery kill-tested; nightly byte-verified off-box backups
What ships, in detail.
Pipelines that resolve their own failures
Schema drift, type changes, and column additions detected and remediated automatically. Pull-request-style summaries shipped after the fact for auditability.
Autonomous anomaly detection
Statistical and learned-pattern detection on every metric. Root-cause attribution surfaces the upstream change that caused the anomaly.
Self-routing compute
Per-query routing across the right engine for the workload — cost, latency, and complexity each weighted in real time. Measured speedup informs future routing; the platform gets smarter as it runs.
Cost self-optimization
Underused workloads scale down. Heavy aggregations route to the cheapest capable engine. Pause-to-zero by default. No quarterly FinOps review required.
Other capabilities that compound with this one.
Want to see it live?
A 30-minute demo against your real data. We'll show you this capability end-to-end and answer any architecture or security question your team has.