Data pipelines and warehousing you can trust at 3am

Data work fails quietly: a schema drifts, a load partially fails, and a number is quietly wrong for four months. We build pipelines with explicit contracts and quality checks that fail loudly rather than degrade silently.

What is included

• Ingestion from your source systems, batch or streaming as the volume requires.
• A modelled warehouse layer with tests on the tables people actually report from.
• Freshness and reconciliation checks that alert when a load is wrong, not just late.
• Documented lineage so a number can be traced back to where it came from.

How the work runs

1. Map the workflowWe break down your process and identify what an agent can own end-to-end.
2. Design the agentModel selection, tool access, guardrails, on-chain permissions — designed with you.
3. Build & simulateAgents tested in sandbox simulations; contracts rehearsed on testnets first.
4. Deploy & monitorProduction launch with monitoring, alerting, and continuous improvement.

Skills