EXO

The world runs on physical industries. Exo is building the AI context layer to automate their workflows, starting with industrial maintenance.

Across multiple conversations with industrial professionals, we heard the same problem: critical knowledge is scattered across disconnected software, engineering documents, and the heads of experienced workers. Maintenance teams spend hours reconstructing equipment history and chasing fixes that were never documented, while downtime and backlogs grow.

Exo connects plant systems, technical documents, and worker expertise into one shared context layer: a living understanding of the equipment, its history, and how work gets done.

We use that context to help teams find answers and automate repetitive workflows within their existing software. Our goal is to reduce downtime, maintenance backlogs, and manual coordination, while preserving the hard-earned knowledge that too often disappears when experienced workers leave.

We believe this knowledge is the foundation of reliable industrial automation. AI needs to understand the equipment, the environment, and the reasoning behind past decisions to be useful on the ground.

Today, we’re building that foundation for maintenance teams and AI agents. Longer term, our ambition is to extend it to robots that can carry out maintenance in hazardous environments, reducing the need to put people in harm’s way.

We’re building toward a future where industrial expertise compounds, routine work is automated, and dangerous work becomes safer.