ETL CREW

Multi Agent Data

ETL CREW

Pipelines that build and heal themselves.

A multi-agent crew that manages data pipelines and keeps critical data flows running across the enterprise — building faster than a human team and staying up when they sleep.

How they are governed

The crew works inside a Role Card. Scope, permissions and escalation rules are set before go-live. Forbidden actions are enforced in code, not policy.

Autonomy tier
Assist. Executes within approved guardrails and escalates anything uncertain for human review.
Human Principal
A named person owns performance and approves scope. Every AI Coworker reports to a human.
Off limits
No schema or production pipeline changes without an approved change request. No access to data outside the granted scope.
Audit
Every classification, response and escalation logged. SOC 2 Type II compliant.

Built on AWS

Runs natively inside your AWS environment. Not ours.

Amazon Bedrock · Anthropic's Claude Sonnet
Amazon SageMaker
AWS Glue
Amazon Athena
Amazon QuickSight

In production

Banking group, Southeast Asia

Running the data pipeline estate behind the group's analytics and reporting workloads.

0%

Faster ETL builds

0%

Reduction in pipeline cost

Multi-agent crew
In production, not a pilot
Read the case study

Deploy them

The ETL Crew is pre-built, pre-tested and pre-governed. Deployment is configuration, not construction.

Typical time to production: four weeks.

What we need from you

  • Data platform and warehouse access
  • Existing pipeline inventory
  • Change management and approval rules
  • Your named Human Principal

Your next coworker is already trained. It's waiting for a role.