Monitoring active

Your data quality team
just became autonomous

Siftra is an AI agent that monitors your databases, detects quality issues, diagnoses root causes, and fixes problems. No rules to configure. No alerts to triage. It just works.

Profile Your Database
siftra agent — running
$siftra connect --source warehouse.snowflake
Connected. Scanning 847 tables across 12 schemas.
Profiled 2.3M columns. Inferred 4,218 quality rules.
Anomaly detected: customer_email NULL rate spiked 340%
Root cause: upstream ETL job dropped validation step at 03:42 UTC
Auto-remediated: restored validation, backfilled 12,847 records.
Summary sent to #data-quality. No human intervention needed.

Data quality tools today are half-built

The current playbook

  • Humans write quality rules manually
  • Alerts fire, humans triage
  • Root cause analysis takes hours
  • Fixes require engineering tickets
  • 6-month implementation cycles

What Siftra does

  • AI infers rules from your data automatically
  • Anomalies detected and diagnosed in seconds
  • Root cause traced across full lineage
  • Auto-remediation for known patterns
  • Connected and running in under an hour

One agent. Full lifecycle.

1

Auto-discover

Connect your data sources. Siftra scans every table, profiles every column, and builds a complete quality map without you configuring a single rule.

2

Continuously monitor

Freshness, schema drift, volume anomalies, distribution shifts. Siftra watches everything and learns what "normal" looks like for your specific data.

3

Diagnose instantly

When something breaks, Siftra traces the full lineage to find root cause. No more hours of manual investigation across pipelines and dashboards.

4

Fix autonomously

Known patterns get auto-remediated. Edge cases get escalated with full context. Either way, your team spends zero time on triage.

The last data quality tool you'll ever configure

Because you won't configure it at all. Siftra is the autonomous data quality engineer that never sleeps, never misses an anomaly, and never needs a Jira ticket to fix a broken pipeline.