Built for teams running real operations
We build AI agents that understand industrial operations because we believe the people running plants, lines, and supply chains deserve tools that actually work.
Why we built this
Operations teams have spent decades collecting data. SCADA systems, historians, MES platforms, ERPs, CRMs, and countless spreadsheets capture what happens across plants and supply chains. But when something goes wrong, or when leadership asks for an explanation, teams still spend hours manually correlating across systems.
We saw an opportunity to change this. Not by replacing existing systems, but by building a layer on top of them that creates shared context. A layer that AI agents can use to answer questions, explain situations, and take governed actions across operational and business domains.
The goal is simple: help operations teams spend less time reconstructing the truth and more time acting on it.
What we believe
Reliability
Operations cannot afford downtime or incorrect answers. We build systems that earn trust through consistent, verifiable performance. Every output can be traced back to its sources.
Clarity
Complex systems should produce simple answers. We prioritize explanations over black boxes, context over raw data, and actionable insights over information overload.
Adoption
Technology only creates value when people use it. We design for real workflows, train for actual users, and measure success by adoption, not features shipped.
Want to learn more?
We would love to hear about your operations and explore how we might help.