See the Unseen.
Fix the Unfixable.

Spark intelligent action from fragmented signals—like data drifts or pipeline failures—with Agentic Data Observability.

See it in Action

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Unleash Smarter Observability with Agentic Insight

Unify fragmented signals—like quality issues and cost spikes—into intelligent action, trusted by global leaders.

Traditional Observability

Basic monitoring

Alerts spot system issues.

Rigid thresholds

Rules track behavior.

Slow remediation

Teams perform RCA and apply fixes manually.

Manual governance

Rules ensure trust, require enforcement.

Agentic Data Observability

Unified detection

Agents fuse signals—like drifts and cost spikes—cutting detection time by 80%.

Smart thresholds

Agents harness metadata context and memory for complex anomalies.

Swift resolution

Lineage and Pipeline Health agents work in concert to cut time by 70%.

Auto governance

Governance agents automate policy checks, cut overhead by 50%.

Stop Downtime-Before It Starts

Explore Agentic Data Observability—from Source to BI

Monitor, understand, and act across your entire data ecosystem with AI-powered precision.

From Signal to Solution-Autonomously

A critical dashboard breaks from signals like schema drift and pipeline errors. Agentic Observability resolves it.

Detection

Diagnosis

Recommendation

Approval

Validation

Execution

Outcome

Detection:
Data Quality Agent flags schema drift in sales data.

Diagnosis:
Data Lineage Agent traces the issue to Product X, August 2024.

Recommendation:
Pipeline Health Agent suggests a targeted fix.

Approval:
Human oversight reviews and approves the remediation path.

Validation:
Governance Agent checks compliance alignment.

Execution:
Fix is triggered via ticket or integration—no manual triage needed.

Outcome:
Flow restored, fast. Observability in action, powered by agents.

From Business Goal to Agentic Plan-Autonomously

ADM planning translates high-level goals into actionable tasks—routed to agents with autonomy and control.

Detection:
Data Quality Agent flags schema drift in sales data.

Diagnosis:
Data Lineage Agent traces the issue to Product X, August 2024.

Recommendation:
Pipeline Health Agent suggests a targeted fix.

Approval:
Human oversight reviews and approves the remediation path.

Validation:
Governance Agent checks compliance alignment.

Execution:
Fix is triggered via ticket or integration—no manual triage needed.

Outcome:
Flow restored, fast. Observability in action, powered by agents.

Sense, Detect, Resolve—Agentically

A critical dashboard breaks from signals like schema drift and pipeline errors. Agentic Observability resolves it.

Monitors signals, like data drifts, across Snowflake, Databricks, Google BigQuery, and others.

Data Quality and Data Lineage agents detect anomalies (e.g., schema drift) and propose solutions with instant context.

Human oversight approves and validates fixes, and the system applies them.

Data Governance and Data Profiling agents refine rules for future precision.

Impact in Action: Revenue Rescued

A financial services leader battled flawed offer data—costing millions in lost revenue. Agentic Observability delivered.

Detection Time Reduction

Slashed detection time from 3 hours to 10-15 minutes.

Revenue Recovery

Boosted coverage, recovered millions in revenue over legacy methods.

Enterprise Scale

Scaled observability for enterprise-wide impact

Discover the Transformation

Trust Delivered, Impact Amplified

"Agentic Data Observability transformed our pipeline reliability. ADM’s AI agents detect and resolve signals like data drifts in minutes, not hours, with human oversight ensuring trust. This is observability redefined."

— Chief Data Officer, Global Financial Institutionik