The Platform
Intelligence layer for industrial operations.
IndustrialClaw is not a chatbot you prompt. It is a persistent, governed agent runtime connected to your OT stack — waking up on event triggers, acting within declared boundaries, and logging every decision.
How it's different from what you've tried
| Tool | What you have now | IndustrialClaw |
|---|---|---|
| ChatGPT / Copilot | Responds when queried | Runs persistently, wakes on event |
| Dashboards | Show you what happened | Agent acts before you check |
| Open-source frameworks | You manage, you govern | Enterprise-managed, governed by default |
Every agent action follows the same loop.
A deterministic, auditable sequence — not a black-box inference chain.
Agent reads from connected data sources on trigger or schedule. Historians, SCADA, CMMS, DCS. Builds a structured operational context window.
Agent generates a candidate action: raise a work order, send a briefing, adjust a setpoint, escalate to an operator. Explicit and auditable before execution.
The governance layer evaluates the proposal against deontic rules, permission boundaries, spend caps, and network constraints. Validation runs on projected outcomes — not reasoning paths.
Only validated actions reach the execution layer. Write capabilities require explicit role-based authorisation. The proposal, validation decision, and execution record are written to the immutable audit trail.
Start where you are. Progress at your pace.
HAS (Human Agency Scale) is the framework for progressive autonomy — from monitoring to fully autonomous operations, on one platform.
MONITORING
Agents observe and alert. Humans decide and act. Zero agent-initiated actions.
ADVISORY
Agents observe, diagnose, and recommend. Humans approve. Agents explain their reasoning.
ASSISTED ACTION
Agents initiate routine actions (create work orders, send briefings) within approved boundaries. Humans retain override authority.
SUPERVISED AUTONOMY
Agents handle the full exception workflow. Humans monitor and intervene only on exception. Operations run between shifts.
FULL AUTONOMOUS MULTI-AGENT
Agent networks coordinate autonomously across the operation. Humans set objectives and governance parameters. Full audit trail maintained.
Tier 1 mining operator has progressed to HAS-05 across 200+ facilities
Your institutional knowledge becomes the moat.
The Operational Identity Model (OIM) is the knowledge layer that separates IndustrialClaw from generic AI platforms. OIM captures your operational processes, asset relationships, alarm patterns, and institutional decision logic — and encodes them into agent behaviour that compounds with every deployment.
Generic AI tools are trained on the general internet. IndustrialClaw agents are trained on your plant, your historian, your maintenance history, and your engineering decisions. That knowledge is yours — not ours. It becomes progressively harder to replicate as the deployment matures.
Processes
Operational procedures, decision sequences, and escalation paths — encoded as agent behaviour.
Asset relationships
Equipment hierarchies, failure mode dependencies, and maintenance schedules.
Institutional knowledge
The heuristics experienced operators carry. Preserved, not lost at shift handover.
Compounds over time
Every deployment makes the OIM richer. The longer you run, the wider the moat.
Connected to the systems your operation actually runs on.
150+ OT/IT connectors via XMPro DataStreams — the widest connectivity library in industrial operations.
Connected systems
Why connectivity matters
The intelligence of an agent is bounded by the data it can see and the systems it can act on. IndustrialClaw starts with the widest OT connectivity library available, so agents aren't artificially limited by integration gaps.
Connections are bidirectional: agents read from historians, SCADA, and CMMS — and write back to work order systems, notification channels, and approved control setpoints within declared permission boundaries.
Skills are infrastructure. Not plugins.
In open-source frameworks, any skill can be added and executed. In IndustrialClaw, skills are governed infrastructure:
- → Pre-vetted for OT safety — No skill in the library can issue unconstrained writes.
- → Version-pinned — Operators know exactly which skill version is running at every moment.
- → Hash-verified — Skills cannot be modified post-deployment without breaking the hash.
- → Role-gated — Skills require explicit authorisation for the asset class they operate on.
Skill manifest — example
SKILL: alarm-triage-v2.3.1
STATUS: APPROVED
HASH: a8f2c91d...
PERMISSIONS: READ historian, READ alarms
WRITE: DISABLED
LAST_AUDITED: 2026-01-15
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Production-proven at scale.
IndustrialClaw is built on XMPro's Agentic Operations Platform — the same platform running governed autonomous agents at a Tier 1 global mining operator (20+ agents, 200+ facilities), a Tier 1 oil & gas operator (AI Operated Control Room), and a leading mining producer (23% OEE improvement, independently audited).
20+ agents
Running at a Tier 1 global mining operator across active operations
200+ facilities
Under governed autonomous agent management
23% OEE improvement
Achieved at a leading mining producer — independently audited
The governance layer doesn't just prevent bad outcomes.
It actively generates measurable commercial value. Every agent transaction is an opportunity to optimise within governed boundaries — automatically, at scale, with full audit trail.
Governed Spend
Hard spend caps and circuit-breakers govern every agent action. CFOs get complete visibility into AI operational costs — per agent, per shift, per asset class.
Staged Investment Model
Start at HAS 1 with a single use case. Expand at the pace your organisation is ready for. Each stage is auditable and generates its own ROI case before the next investment decision.
733% ROI
Independently audited return on a production deployment at a leading mining producer — alongside a 23% OEE improvement. Early deployments are structured to generate auditable proof before expanding scope.
See the platform in your operational context.
We'll map IndustrialClaw to your current stack, your use cases, and your governance requirements.
Talk to us