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Governed operational intelligence for physical systems

Your system. Your context. Your operational brain.

Connect your equipment, give AI the context to assist your team, and keep operational decisions traceable — with humans in control from proposal to verified outcome.

Discuss your use case →See how it works
A physical system needs more than an answer.

A physical system needs more than an answer.

Watch the demo
🖥️ Desktop
🥽 VR — PC
🥽 XR — Passthrough
🔒 Strict Operations blocks unauthorized writes.
✍️ Recorded changes identify their source.
📋 Verifiable handover & continuous monitoring.

Operate. Evidence. Learn.

Keep what your team discovers on a shift, so the next person does not start from zero.

Operate, evidence, learn: operate the system, preserve the record, and use MCP knowledge tools to derive evidence-linked proposals.OperateLIVE · TRAINING · REPLAYEvidenceSEALED AND ATTRIBUTEDLearnEVIDENCE-LINKED PROPOSALS
  1. 01 — Operate
    People and the assistant run the system. While recording is armed, values and actions are captured with the identity of whoever produced them.
  2. 02 — Evidence
    The session closes with a SHA-256 manifest over its evidence files. Signing is optional; replay reconstructs the recorded state and timing.
  3. 03 — Learn
    Use MCP knowledge tools to preserve proposed lessons from recorded sessions, together with their source evidence. Proposals do not change operating rules automatically.
Human-in-the-loopAI proposes governed actions; your team authorizes them. Recorded sessions preserve the evidence.
How the loop is governed →What the record contains →
ArcUI System is operational. What you see in the demo runs today — not a rendering.
Which equipment or process would you like to improve?
Discuss your use case →