Stop Data Downtime.Ship AI-Ready Data You Can Trust

Keep dashboards, decisions, and AI models trustworthy with lineage-first observability, dynamic health scoring, and policy guardrails, so you prevent incidents, prove governance, and ship value at velocity.

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30s

Mean time to detect incidents across data, BI, and AI.

95%

Field-level lineage mapped from sources to dashboards in minutes.

80%

Fewer false positives via seasonality-aware, adaptive baselines.

15min

Time-to-first-value with agentless onboarding and quickstart wizard.

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Risky changes get flagged pre-merge, not at the board review.

Cut Data Downtime,

Inflate Trust, Accelerate Delivery

Lead high-velocity platforms with lineage, health scoring, guardrails, and automated governance everywhere.

Make Truth Visible

Give execs and product teams a single reliability view. Health scores and scorecards reduce debate; lineage exposes ownership and blast radius before changes land.

Scale Without Firefighting

Autogenerate monitors as assets appear; adaptive baselines and SLA-aware alerts surface only action-worthy issues—so roadmaps move, not just runbooks.

Prove Governance, Unblock Access

Set policies once, apply everywhere, and keep a tamper-proof audit trail. Pair lineage snapshots with audit trails to satisfy compliance while speeding time-to-data for builders.

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Data Engineering Expert

5-min architecture review. Walk your pipeline;
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Get Back to What Matters Most

  • Contain issues at the source: Predict risk on critical pipelines, quarantine suspect runs, and gate promotions before bad data hits KPIs or models.
  • Prioritize by business impact: Incidents auto-ranked by affected revenue metrics and exec dashboards fix what moves the needle first.
  • Protect roadmap time: Reduce interrupts so teams ship migrations, governance milestones, and new data products on schedule.
Start FreeAgentless. No credit card. Live in 15 minutes.
Observability UI
Prediction UI

Shrink MTTR, Multiply Team Capacity

  • High-signal detection: Seasonality-aware baselines and drift checks surface only action-worthy anomalies no alert fatigue.
  • Accountability on autopilot: Every alert carries owner, SLA, lineage, and logs; it routes to the right squad with context to act.
  • One-click recovery: Trigger backfills, retries, rollbacks, or parameter fixes from the alert; guided runbooks close the loop fast.
Start FreeAgentless. No credit card. Live in 15 minutes.

One Control Tower for Data, BI & AI

  • Lineage you can act on: Field-level visibility from source to semantic layer, dashboards, and feature stores see blast radius instantly.
  • Health in one place: Live views of freshness, volume, schema change, and SLOs across warehouses, ETL, BI, and AI workloads.
  • Workflows that stick: Native handoffs to Jira/ServiceNow, Slack/PagerDuty, and Git, plus approvals and certifications built into the flow.
Start FreeAgentless. No credit card. Live in 15 minutes.
Cost visibility dashboards and data sources UI

Talk to Sales

Pricing, security review, and procurement support.

Lead With Confidence,

Not Firefighting

Set standards once, enforce everywhere, so your KPIs, dashboards, and AI stay trustworthy at scale.

Change Defense & Impact Preview

Change Defense & Impact Preview

Simulate schema, pipeline, and model changes before they land. See the blast radius across dashboards and features, block risky merges, and ship with guardrails instead of postmortems.

Operational Governance with Owners & SLOs

Operational Governance with Owners & SLOs

Turn policies into operating practice. Auto-assign incidents to accountable owners with context, enforce approvals with reusable templates, and track SLOs over time so you can steer outcomes, not tickets.

Evidence on Demand (Audit & Risk)

Evidence on Demand (Audit & Risk)

Tag sensitive data automatically, capture lineage snapshots, and generate exportable audit packs in clicks. Prove compliance and reduce time-to-access without slowing the builders down.

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Guided interactive experience for lineage, alerting, and root-cause resolution flow.

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