Reading → context → evidence → decision
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.
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.

Real machines.
Connected consequences.
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 partsEquipment 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.
The finding reaches the Area Head first. The evidence stays attached to the machine.
The digital equivalent of the human workflow.
Verified knowledge. Contextual reasoning. Governed action.
Turn manuals, histories, inspections and human expertise into verified knowledge.
One thread per operation. Sources stay separate by design; nothing learned at one site reaches another. Human verification decides what counts.
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.
See the trend against the machine’s history, shared-panel behaviour, likely causes, and what has been ruled out.
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.
Running on a continuous steelworks line.
50 critical machines and water utilities.
Findings stay open until the field answers.
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.
Open a principle to see how spiderAI™ handles it.
Group repeat notifications into bounded events. Any alarm removal or suppression remains a human decision.
Unmeasured equipment needs a connection, not a clean bill of health. Standby assets with too little runtime stay “insufficient to judge”.
Consider dependencies, standby, operating duty and timing. The most severe machine condition is not always the operation’s first priority.
Capture field findings and compare the repair with the machine’s history. Recognise repeats and propose preventive changes for human review.
A finding stays suspected until field confirmation. spiderAI™ names missing evidence and the source that would let it answer.
Keep each question, answer and eventual finding beside the machine. Judgement remains available when the expert is away.
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.
Start with your industry, equipment, outcomes and role.
See what must be joined before the right decision becomes clear.
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.
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™ SystemsspiderAI™ can work with existing IoT systems in the plant, bringing their equipment signals into the same operational context.
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.


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