Find out why your pipelines keep failing.
When a load fails or data arrives late, your engineers piece together logs, query history, and upstream changes. We build agents to do that investigation and propose the next step.
Discuss a pipeline issueWe usually reply within one business day. No finished brief needed.
Built with Hermes Agent or Snowflake Cortex for AWS, GCP, Azure, and Snowflake. Production changes stay with your team.
Tell us about a failing pipeline.
In your message, describe what fails or arrives late and where it runs. A few sentences are enough to start.
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One pipeline. A clear investigation scope.
Start with a recurring failure or freshness problem. Together, we define what the agent should watch, which evidence it can access, and how your team will evaluate its findings.
Failed runs and loads
Connect a failed run to pipeline logs, warehouse queries, upstream dependencies, and recent changes.
Late or stale data
Trace freshness alerts through the pipeline to identify where data stopped moving or arrived late.
Recovery proposals
Bring the relevant evidence together with a proposed recovery step. Your engineers review and approve any production change.
What happens after you get in touch?
We follow up to understand the recurring issue and whether an investigation agent is a good fit. Then we discuss the signals and access it would need, how your team would review its findings, and a scope for the first agent.
Read feedback from our data engineering clients