Stop Debugging. Start Delivering.

Meet Adaptive AI that detects early, flags what matters, and guides resolution—keeping you in control.

See it in Action How It Benefits You

 Trusted by Top Enterprises For Faster, Smarter Anomaly Resolution

Acceldata reduced anomaly resolution from weeks to hours. Now we solve issues proactively—and trust the data behind every decision.

VP, Data Quality, Global Financial Services Firm

Agents Built to Think and Act Like You—But Faster

Powered by xLake reasoning engine, agents operate as a coordinated defense system

Detect

Autonomous Pipeline Scanning

Agents replace manual checks with continuous, end-to-end monitoring of jobs, anomalies, and pipelines

Correlate

Multi-Dimensional Signal Scoring

Agents connect patterns across columns, metrics, and time to flag what truly matters.

Diagnose

Root Cause Attribution

Agents trace issues like schema drift and nulls back to their source—instantly.

Remediate

Self-Healing Actions

Agents work autonomously across time-series, keeping humans in the loop for oversight.

Prevent

Adaptive Guardrail Optimization

Agents adapt and tune thresholds and tests to keep issues from coming back.

From Firefighting to Self-Healing Pipelines

From

Grepping logs at 3 AM

Noisy alerts, no answers

Fixing the same bug again

Racing to fix broken reports

Manual schema drift sleuthing

Pipeline breaks, trust erodes

To

Agents that monitor everything 24/7

AI that flags what's critical, fast

Agents that learn and adapt

Pipelines that auto-heal with oversight

Instant RCA, no finger-pointing

Clean, verified data—always ready

Supercharge Your Data with ADM

Anomaly Detection is just the start. Explore ADM’s agentic capabilities.

Anomaly Detection

Data Observability

Contextual Memory

Agentic Visualization

Frequently Asked Questions

Q1: What makes Acceldata’s anomaly detection “agentic”?

Agents detect, reason, and resolve autonomously—communicating and adapting without manual intervention.

Q2: How does adaptive anomaly detection differ from static rules?

Adaptive AI learns from patterns and evolves in real time—no thresholds, no tuning.

Q3: What types of anomalies can Acceldata detect?

Everything from schema drift to behavioral outliers—across time-series, tables, and segments.

Q4: Can Acceldata help resolve anomalies automatically?

Yes—agents fix or escalate intelligently, with built-in diagnostics and remediation workflows.

Q5: How does Acceldata use AI models like LLMs?

LLMs help agents explain, evolve, and generate detection rules with contextual precision.

Q6: Which industries benefit most from agentic anomaly detection?

Finance, retail, pharma, lifesciences, Telco, Healthcare —anywhere silent data failures impact decisions or compliance.

Resources & News

The latest at Acceldata

The Future of Data Reliability: AI Agents That Reason, Detect, and Prevent Anomalies

Announcing Acceldata Agentic Data Management

How AI Is Reshaping Data Roles: Bridging Engineering and Business

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