Xolver Console

The command center for physical AI.

Xolver Console gives teams one place to prepare, review, monitor, recover, and improve intelligent machine workflows.

It connects task workflows, prediction state, machine health, safety checks, rollout governance, incident analysis, and readiness records.

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Xolver Console interface for physical AI governance

One lifecycle surface.

Console includes Sentinel for live operations, incident analysis, replay, recovery review, and evidence-linked monitoring.

Task workflowsPrediction stateMachine healthSafety checksRollout governanceIncident analysisSentinel observabilityReadiness records
Application Hub

Start from the application, not a blank screen.

Xolver Console gives teams guided starting points for inspection, tending, handling, assembly, warehouse robotics, and data-center operations.

From there, teams can prepare workflows, review behavior, monitor operations, handle exceptions, and keep operational records in one place.

Connect

Bring machine, facility, and operational signals into one reviewed workspace.

Build

Prepare application workflows, reference patterns, and task-specific behavior.

Validate

Review proposed behavior before it reaches physical operation.

Operate

Monitor status, exceptions, interventions, and recovery paths.

Review

Keep records of what happened, what changed, and what should improve.

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Sentinel inside Console

Observe, diagnose, replay, recover.

Sentinel makes the operating loop visible inside Console: machine state, signal freshness, incidents, interventions, recovery options, and the records teams need to review what happened.

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Live operations monitoring

Incident analysis

Replay and recovery review

Evidence-linked source health

Prepare workflows

Create and review work areas, tasks, templates, reference workflows, and deployment plans.

Validate before action

Preview proposed behavior, run checks, review simulations where available, and summarize readiness.

Predict and compare

Review outcome predictions, risk signals, and prediction-vs-result records.

Deploy and govern

Manage approvals, staged rollouts, activation gates, and recovery paths.

Monitor and recover

Track safety state, machine health, incidents, interventions, recovery suggestions, and site context.

Prove and improve

Collect readiness reports, replay records, and buyer-confidence materials.

Deploy governed intelligence, then improve it from evidence.

Teams use Console to review work areas, prepare workflows, compare predictions, approve staged rollouts, analyze incidents, supervise recovery, and export readiness records.

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