APPLICATIONS

Different machines. Shared infrastructure questions.

Explore how the same integration layers apply across physical-AI systems. These are illustrative scenarios, not customer case studies.

Discuss your deployment

MOBILE INSPECTION

Inspection events need context.

Connect onboard perception to timestamped evidence and an operator review workflow. The architecture must account for intermittent connectivity, data volume and the boundaries of remote assistance.

Inputs
Sensor streams, robot status and inspection-event definitions.

Integration focus
Event capture, local buffering, evidence review and escalation.

Acceptance questions
Can events be traced to the right device and software release? What happens when connectivity fails?

Infrastructure for AI in the physical world

INDUSTRIAL MANIPULATION

Bring inference into a controlled task.

Integrate model runtimes and hardware interfaces around handling or assembly tasks. Keep task-level AI decisions distinct from approved motion control and safety functions.

Inputs
Robot interfaces, task states, sensor inputs and runtime constraints.

Integration focus
Inference packaging, adapter contracts and release checks.

Acceptance questions
Are interface failures detectable? Can a release be rolled back without ambiguity?

The layer between intelligence and deployment

AI COMPUTING CENTER ARCHITECTURE

Make shared compute serve the workload.

Map development, simulation and evaluation workloads to resource pools, storage and data movement. Clarify which resources are shared and where isolation is needed.

Inputs
Workload profiles, datasets, users and existing infrastructure.

Integration focus
Placement, job dependencies, access models and artifact provenance.

Acceptance questions
Can teams reproduce an evaluation and identify the resources and artifacts used?

EMBODIED-AGENT DEPLOYMENT

Connect reasoning to bounded action.

Define how agent outputs reach robot interfaces, which permissions apply and when a human must intervene. An agent integration must respect the robot’s existing control architecture.

Inputs
Agent stack, action interfaces, permission model and operating environment.

Integration focus
Interface contracts, action records and operator escalation.

Acceptance questions
Can an action be traced to an authorized decision? Does an unsupported request fail predictably?

Which scenario resembles your deployment?

Describe the robot or agent stack and the constraint you need to resolve.

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