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spiderAI

It lives where the machines are, and it works for the whole operation, not one machine at a time.

spiderAI™ is an agentic intelligence for industrial equipment. It holds together everything an operation knows about its machines, reasons across it 24×7, and puts the right decision in front of the right person at the right moment—so annual operational targets are achieved.

Industrial lifting machinery with electric motor, cable drum and heavy wire rope inside a plant
THE PHYSICAL OPERATION

Real machines.
Connected consequences.

Equipment, duty and the people responsible for it.
IN OPERATIONOne continuous line.
The utilities alongside it.
50critical machines + water utilities
24/7continuous reasoning

Everything the operation knows.
Held together.

Machine signals become useful when they connect to production context, maintenance history, people and operations topology.

spiderAI™ works with the plant’s existing IoT systems. The intelligence comes from reasoning across the whole picture.

Explore the four parts
THE LIVING EQUIPMENT WEB Continuous reasoning
01Equipment signals02Verified knowledge03Production context04Maintenance history05People & procedures06Operations topologyspiderAI™
CONTEXT → JUDGEMENTThe right decision. The right person.

See the risk.
Understand the consequence.

Equipment condition, production dependencies and decision owners.
Together in the plant’s own context.

R105 feeds both sinter machines. With no standby or bypass, its consequence reaches beyond one machine.

FOLLOW THE RESPONSE
A concern is recorded

The finding reaches the Area Head first. The evidence stays attached to the machine.

People authorise stops, isolation and return to service. spiderAI™ keeps the reasoning and responsibility visible.

Four parts.
One continuous intelligence.

The digital equivalent of the human workflow.
Verified knowledge. Contextual reasoning. Governed action.

THREADS

Verify what you know.

Turn manuals, histories, inspections and human expertise into verified knowledge.

The detail behind it +

One thread per operation. Sources stay separate by design; nothing learned at one site reaches another. Human verification decides what counts.

Manuals & FMEAMachine historiesInspection findingsPeople & procedures

Less to interpret.
More to act on.

A conversation, a brief, a job card or a workflow.
For the seat you hold, with the evidence beside it.

The machine’s own history comes first. Rod Mill 4 reads 30.3 against its critical threshold of 11.3; missing readings remain visible.

THE TECHNICAL JUDGEMENT

Start with what deserves investigation.

See the trend against the machine’s history, shared-panel behaviour, likely causes, and what has been ruled out.

  • Own history & peer comparison
  • Causes and separating checks
  • Sources, gaps & limitations
Diagnosis report
Across the places your people work +

Site and area heads get decisions and costs. Reliability gets evidence. Technicians get job cards. Planners get plans from shift to year. Findings stay with their sources, and reserved decisions stay with people.

The reasoning layer.
Grounded in the operation.

Running on a continuous steelworks line.
50 critical machines and water utilities.
Findings stay open until the field answers.

FROM THE OPERATION
THE REASONING PATH
01Same current
02Different duty
03Own history
04Two judgements

Reading → context → evidence → decision

CONTEXT-AWARE DIAGNOSIS

The same reading. Two verdicts.

Two motors draw the same current but do different work. Own history and duty lead to different judgements; a generic limit would have missed the distinction.

Product example · grounded in field evidence
DESIGNED FOR WHAT COMES NEXT
One portable intelligence. Different operating realities.

Data halls: compare air handlers and spare capacity. Water networks: prioritise the right station visits. OEMs: use pre-failure records to resolve claims and find fleet patterns.

Designed applications
Not presented as deployments

The problems you should stop accepting.

Open a principle to see how spiderAI™ handles it.

01One episode. Not a thousand alarms.

Group repeat notifications into bounded events. Any alarm removal or suppression remains a human decision.

02A missing signal is a named gap.

Unmeasured equipment needs a connection, not a clean bill of health. Standby assets with too little runtime stay “insufficient to judge”.

03Priority follows consequence.

Consider dependencies, standby, operating duty and timing. The most severe machine condition is not always the operation’s first priority.

04“Found” matters more than “done”.

Capture field findings and compare the repair with the machine’s history. Recognise repeats and propose preventive changes for human review.

05No evidence. No confident guess.

A finding stays suspected until field confirmation. spiderAI™ names missing evidence and the source that would let it answer.

06Expertise stays with the operation.

Keep each question, answer and eventual finding beside the machine. Judgement remains available when the expert is away.

Your objective.
The context that connects it.

Equipment, outcomes and people are connected.
Explore the landscape, then map your own operation.

You set the operational target. spiderAI™ shows what sits beneath it—and who can act.

YOUR MACHINES. YOUR KNOWLEDGE. YOUR DECISIONS.

Your operation.
In the connected picture.

Start with your industry, equipment, outcomes and role.
See what must be joined before the right decision becomes clear.

Need equipment signals?
Bring iHz™ with spiderAI™.

For quick implementation and activation of spiderAI™, we can supply and integrate iHz™ alongside it. Where plant IoT already exists, spiderAI™ can work with those systems.

THE CURRENT PRODUCT SERIES

iHz™ is our industrial IoT system, built on the insight that electricity driving the world can reveal intelligence about it. Its current product series uses Motor Current Signature Analysis (MCSA) to diagnose component-level faults and generate equipment intelligence for machines driven by three-phase AC induction motors.

Explore iHz™ Systems
EXISTING PLANT IoT

Keep the signals you already have.

spiderAI™ can work with existing IoT systems in the plant, bringing their equipment signals into the same operational context.

WHEN AN IoT SOURCE IS NEEDED

iHz™ is one source we can offer.

Where equipment signals are missing, bring iHz™ hardware and its current MCSA capability into the same implementation. Connect the equipment and activate spiderAI™ with the operational context already in place.

iHz™ industrial IoT device in its metal enclosure
iHz™ hardware Equipment signals
iHz™ equipment signal devices installed together inside an industrial panel
iHz™ in the plant Installed in the panel

Explore iHz™ hardware and its current MCSA capability for machines driven by three-phase AC induction motors.

Explore iHz™