We think observability should fix things, not just see them.

Every data platform team we know is fighting the same fight: too much going wrong, too little time, and the tools they have only point at problems. By the time someone clicks the alert, the cost has already been spent and the user has already complained.

We started Omnitrace because LLMs and agentic tooling finally make a different posture possible — one where the system doesn't just notice waste, it acts on it, and tells you exactly what it did and why.

Every fix is auditable. Every action is reversible. Every dollar saved is measured, not estimated. The agent works inside the autonomy budget you set — pull it back to "recommend only" tomorrow if you change your mind. The point isn't to remove humans from the loop. It's to remove humans from the boring parts of the loop.

Today the agent supports Databricks. Tomorrow it supports every compute platform that lakehouse teams care about.