SYSTEM: OPERATIONAL
·
SYS:INDUSTRIALCLAW.AISTATUS:NOMINALFACILITIES MONITORED: 200+ACTIVE AGENTS: 20+OEE IMPROVEMENT: +23%OT/IT CONNECTORS: 150+GOVERNED AUTONOMY: ENFORCEDAUDIT TRAIL: IMMUTABLEBLAST RADIUS: ZEROROI: 733%
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Your operations don't stop at shift change.

Neither should your AI — but it must operate with the discipline, security, and governance that industrial environments demand.

The market signal

OpenAI acqui-hired the creator of OpenClaw. NVIDIA launched NemoClaw to govern agents in the enterprise digital workspace. The governance imperative is settled. IndustrialClaw is the layer above: governed autonomous operations where the consequences are physical.

AI agent in industrial environment
The problem

Industrial operations are data-rich and action-poor.

In most industrial operations, more than 60% of operator time is spent on coordination, documentation, and handover — not production. Historians log millions of data points per second. SCADA systems generate alarms faster than operators can triage them. The knowledge required to respond to an exception at 2am is locked in the heads of engineers who are asleep.

Generic AI tools

ChatGPT and Copilot are trained on general knowledge, not OT protocols, P&IDs, or historian time-series data. They cannot take action inside the plant.

Open-source agent frameworks

Powerful but carry unacceptable risk: no OT-aware security model, no governance, no audit trail, and no guardrails suited to safety-critical infrastructure.

The gap:

Industrial organisations need agents that act — not just answer. But with a blast radius of zero.

What IndustrialClaw does

What IndustrialClaw does

Always-On Operations Intelligence

Agents run as persistent background processes connected to OSIsoft PI, SAP PM, CMMS, DCS/SCADA — waking up on event triggers before the on-call engineer's phone rings.

The Industrial Triage Nurse

Sits in your operations channel, pulls historian data and maintenance history, and posts a structured diagnosis before the operator reaches the control room. 20–40 minutes of context-gathering, eliminated.

Secure by Design

Prompt injection prevention, vetted skill libraries, role-based blast radius control, hard spend caps, network egress filtering, and an immutable audit trail for every action.

Enterprise-Managed by Default

Not an open consumer runtime — an enterprise-managed deployment where engineering teams build domain-specific skills that encode institutional knowledge and execute reliably, at scale.

Industrial operator managing automated systems
Early Access

Be first to deploy governed autonomous operations.

We're onboarding a limited cohort of enterprise operators in 2026. Applications are reviewed — acceptance is at XMPro's discretion. We prioritise heavy asset and mission-critical organisations represented by senior decision makers.

  • Priority consideration for 2026 deployment cohort
  • Agentic Operations briefings before public release
  • Production case studies from Tier 1 operators

Request early access

Applications reviewed by the IndustrialClaw team. Enterprise operators in heavy asset and mission-critical industries are prioritised.

By submitting this form you agree to receive communications from XMPro. You can unsubscribe at any time. Applications are reviewed — acceptance is at XMPro's discretion.

FACILITIES

200+

MONITORED

OT/IT

150+

CONNECTORS

OEE

23%

IMPROVEMENT

ROI

733%

INDEPENDENTLY AUDITED

The window is now.

Organisations that deploy governed agentic AI in 2026 will build a compounding advantage that latecomers cannot close.

Talk to us

GOVERNED · SECURE · PURPOSE-BUILT FOR INDUSTRIAL OPERATIONS

Apply for early access — 2026 cohort

Enterprise, heavy asset & mission-critical industries only. Senior decision makers prioritised. Acceptance at XMPro's discretion.

By submitting you agree to receive communications from XMPro. Applications reviewed — acceptance at XMPro's discretion.