Autonomous AI Data Operations

Your data pipelines
break at 3am.
We fix them before
you wake up.

DataGuardian AI detects broken pipelines, reasons about root causes using AI agents, generates production-ready fixes, and opens a GitHub PR — fully autonomously, in under 3 minutes.

dataguardian ~ live incident stream STREAMING
03:17:01planneranalyzing incident description…
03:17:02metadatafetched customers schema + 3-level lineage (12 tables, 3 ml features)
03:17:04rootcauseCOLUMN_RENAME detected: customer_id → customer_uuid (94% conf.)
03:17:07repairgenerated 2 dbt models + 1 sql fix (Grok-3)
03:17:09validatordbt compile ✓ · sqlfluff ✓ · tests ✓
03:17:13githubopened PR #247 with diff · assigned reviewers
03:17:15notifierslack ✓ · discord ✓ · email → 3 owners ✓
✔ resolved in 2m 47s — engineer notified.
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How it works

Three stages. Zero humans.

STEP 01

Detect & Investigate

DataGuardian reads your DataHub metadata, schema, lineage, and pipeline logs — instantly understanding the full impact of any failure.

STEP 02

Reason & Fix

AI agents diagnose the root cause and generate production-ready SQL, dbt models, Airflow DAGs, and Python fixes — validated before deployment.

STEP 03

Ship & Notify

A GitHub PR is opened automatically. Your team gets notified on Slack, Discord, and Email. DataHub docs are updated.

Real-world scenarios

Production incidents. Autonomously resolved.

E-commerce
ShopPulse Inc.
Critical

The 3AM Column Rename

MTTR 2m 47s

Team renamed customer_id → customer_uuid during a migration. At 3:17 AM, 4 Airflow pipelines failed, 2 dbt models errored.

Engineer woke up at 8 AM to a merged PR and a healthy pipeline. Zero human intervention.
FinTech
Veridian Financial
High

The Silent ML Feature Drift

MTTR 4m 12s

fraud_score feature started returning NULLs after upstream type change. Model accuracy dropped 94% → 61%.

ML model protected from deploying with degraded features. Data science team notified before bad predictions.
SaaS Analytics
MetricFlow
Critical

The Cascade Failure

MTTR 6m 03s

A NULL-injection bug in raw_events cascaded through 57 tables, 19 ML models, and 238 dashboards.

Single PR fixed the source + added dq tests. All 57 downstream owners auto-notified.
Healthcare Analytics
MedInsight
Medium

The Missing Owner

MTTR 1m 15s

4 critical datasets had no owners assigned. Compliance audit approaching. Nobody knew who to contact.

AI analyzed commit history + Slack mentions to infer owners. Audit passed. All datasets documented.
Retail Chain
NexMart
High

The Stale Dashboard Crisis

MTTR 3m 28s

Executive revenue dashboard stopped refreshing. CEO presenting Q3 numbers in 30 minutes.

Fixed DAG merged, dashboard updated 12 min before presentation. CEO never knew there was a problem.