Local Operation

Runs close to the machine. Records stay close too.

Xolver keeps important context near the equipment: machine health, review signals, and operational records that teams can understand.

Edge_Live_Feed
Review Signal
Local operation viewLocal dev
Xolver Edge Preview
console_v0.9.4.dev
System: Active

Joint DiagnosticsArm: Under Development

J0112°
Torque4.2 Nm
Load15%
Temp38°C
J02-45°
Torque8.1 Nm
Load22%
Temp41°C
J0388°
Torque12.4 Nm
Load45%
Temp44°C
J04-10°
Torque2.1 Nm
Load8%
Temp36°C
J055°
Torque1.5 Nm
Load5%
Temp35°C
J0645°
Torque3.8 Nm
Load12%
Temp37°C

End-Effector / Haptics

Finger Position

65%

Grip Force

15.0Newton

Tactile State

Stable

Haptic FB

Active

Xolver Edge Telemetry

NPU Load

82%

Latency

11.2 ms

Active Models

  • - TRN-VLM-Edge_v2
  • - KIN-DET-Layer_v0
  • - SAF-ENF-Module
GeofenceActive
Auth: 0x82f...a1 // Data_Throughput: 1.2 GB/sXolver_Edge_Ref: 2026_PROD_BETA

Operator view: machine health, contact context, and review signals near the equipment.

See the work more clearly.

The Console helps teams understand machine condition, AI activity, and work-area context near the equipment.

Workspace view

Give operators a clearer view of the machine, task, and surrounding context.

Machine health

Keep important machine condition signals visible near the equipment.

Contact awareness

Make contact-rich work easier to inspect and discuss when grip, placement, or handling quality matters.

AI activity

Understand when AI assistance is active and how it relates to the current task.

Safety state

Obstacle detection, safety boundary checks, and a continuous safety heartbeat keep the machine within its approved zone — even as the environment around it changes.

All signals in one view

Rather than checking scattered displays, Xolver brings operating context into a single on-site view for operators and engineers.

Contact-Aware Work

Robots need more than cameras to work reliably with the physical world.

Contact-rich work is easier to review when operators can understand grip, placement, and handling context in one place.

Xolver frames those signals as operating context, not public implementation detail. The goal is clearer review for delicate physical work.

What operators can see

  • Contact context
  • Grip quality
  • Handling state
  • Operator review
  • Contact-rich records

Bring Xolver to your facility.

Engagement scope depends on the machine, site, workflow, and review path.

FAQ

Why does Xolver run on-site instead of in the cloud?

Machines should not depend on a cloud round trip for important behavior. Running key checks and records close to the machine helps keep response and resilience practical for real operations.

What happens if the internet goes down?

Important on-site workflows should remain practical even when public-cloud connectivity changes. Exact behavior depends on the facility and equipment context.

Does Xolver replace our existing operator displays?

No. The Edge Console adds a diagnostic and review view alongside your existing plant interfaces. You don't need to replace anything — it sits next to what you already have.

Does camera footage or sensor data leave the site?

Xolver is designed around local handling of sensitive machine context. Sharing policies are defined directly with each customer.

What do the on-site diagnostics show?

Operators can review machine context, AI activity, operating state, and environmental awareness near the equipment.

Can I approve machine actions from the Edge Console?

The console shows review context and operating records. Physical authority remains governed by the customer environment.

Does Xolver support tactile grippers or dexterous robotic hands?

Contact-rich work can be part of a Xolver application conversation when it matters for the task.