Understand the service event.
Explore how available vehicle and crew evidence can help establish what happened at a stop and what needs follow-up.
Physical AI Planned
Connect what happens around vehicles, containers and facilities to the people running the operation. Turn field evidence into context your team can use.
Our physical AI direction. Hardware, data sources and use cases are assessed separately.
Field event Service context Team decision
Intelligence beyond the screen
A camera frame or sensor event needs context: which job, where it happened, when it happened and what a person needs to do with it.
Explore how available vehicle and crew evidence can help establish what happened at a stop and what needs follow-up.
Associate relevant observations with a site, container or service record so a team can investigate with the right context.
Assess where camera or sensor inputs could support operational checks, exception review and coordination across the site.
How the direction comes together
The product is intended to connect evidence to an operational question, explain uncertainty and help the team decide what happens next.
Camera and sensor analysis can be incomplete. Consequential decisions need the right review, including when evidence is missing or conflicting.
See how it connects to operationsIllustrative evidence workflow
A permitted source produces a field event.
Match it to the relevant job, site and time.
Show the evidence, its limits and the decision needed.
Follow the approved workflow and confirm the result.
A physical AI company
For CircularOS, physical AI means connecting intelligence to the vehicles, places, assets and events behind the service. It is a product direction, developed use case by use case with the operator.
Why we’re building CircularOSLet’s start with your operation
Show us the steps, the systems and the follow-up. Let’s find a practical place to start.