Applications

Built for physical work that does not stay perfectly scripted.

Xolver helps machines operate through changing parts, shifting work areas, uncertain conditions, and real operational constraints.

It is built for teams that want more adaptable automation without giving opaque AI unchecked authority over physical equipment.

Where Xolver helps

Applications for factories, warehouses, and operational environments.

Across factories, warehouses, and operational environments, Xolver gives teams a way to prepare, review, monitor, and improve intelligent machine workflows.

Sentinel adds observability for routes, cells, facility state, production exceptions, signal freshness, recovery review, and the records teams need after incidents.

Deployment Path

From application idea to controlled operation.

Xolver helps teams move from a target workflow to a reviewed operating path. Teams can prepare the application, inspect behavior, review exceptions, monitor operations, and keep records of what happened.

This makes it easier to understand what the machine is doing, where human review is needed, and how the workflow should improve over time.

Prepare
Inspect
Review
Monitor
Improve

FAQ

Are these the only applications Xolver supports?

No. These are the clearest public application families for the current product story. Xolver is designed for physical work where changing state, risk, timing, and reviewability matter.

What do these applications have in common?

They help teams prepare, review, monitor, and improve intelligent machine workflows without giving opaque AI unchecked authority over physical equipment.

Does every application start with live machine control?

No. Xolver can start with assessment, workflow preparation, behavior review, exception review, monitoring, and operating records before any live operation is considered.

Who should talk to Xolver?

OEMs, system integrators, enterprise operators, and platform teams working on physical work that keeps changing.

Working on physical work that keeps changing?

Tell us about the machine, workflow, site constraints, and what your team wants to improve.