We build the infrastructure that makes data agents actually work. Our obsession is to build autonomous agents that can be trusted with production data.
The data stack is full of context that lives in engineers' heads — business rules, past incidents, and undocumented decisions. When agents act on production data, they hit that context gap at machine speed. We solve this with a context graph structured for agent consumption, governance guardrails, and infrastructure built from the ground up for the agent-first data stack.
Our platform enables trusted, autonomous data engineering through tech stack agnostic, token-efficient, and open-source agents that work across pipelines, migrations, data apps, and workload optimization.
