Machines are monitored individually. Operational losses emerge across the system. spiderAI™ delivers contextual intelligence across equipment, dependencies, and operating conditions to reveal where performance is at risk and what action is required.
An agentic intelligence for industrial equipment, spiderAI™ works 24×7 to keep daily decisions aligned with annual operational targets.
spiderAI™ is an equipment intelligence to run industrial operations on time, efficiently and safely. It can be accessed from conversational interfaces, web application and can also be deployed on the drones & robots for physical intelligence.
Machines generate signals. Decisions require context. spiderAI™ unifies equipment data, technical documentation, maintenance history, system dependencies, and field observations into a shared operational foundation. Every fact is verified by a person before it informs the analysis.
spiderAI™ reasons across that foundation continuously, delivering ranked findings with supporting evidence to the people accountable for action. Each finding remains open until the repair is verified and its effectiveness is demonstrated over time.
Process industries · Steel
Conveyors, crushers, screens, and blowers working together in steel sintering.
One machine faults, the whole line stops. The loudest signal is often on a healthy machine.
HETEROGENEOUS FUNCTIONAL
A single operation typically contains several system types at once. spiderAI™ maintains context across all of them, and no action is taken without acceptance by an accountable person.
spiderAI™ is an agentic equipment intelligence. It holds everything an operation knows about its machines, reasons across it continuously, and delivers each decision to the person accountable for it.
It takes what the sensors measure, what is written in manuals, work orders and breakdown history, and what the people on the floor report back, and reasons across all of it, 24x7. That only became possible after large language models, and spiderAI™ is built to bring it to equipment. Its four parts mirror how a good plant team already works, which is why the same intelligence scales across industries.
Manuals, breakdown history, inspection notes, work orders, nameplates, drive-train data, the written procedure the operation runs by, and the answers people give it while they work. Everything goes in and gets structured; a person verifies every fact before it counts, and it answers only from what has been verified.
The world runs on machines, and machines run on power. iHz™ System is designed to capture intelligence from that power.
The current product series applies Motor Current Signature Analysis to equipment driven by three-phase AC induction motors, diagnosing faults to component level from one device installed at the electrical panel. No sensors on the machine, no production stop to install.
iHz™ feeds spiderAI™ as one signal source, alongside instrumentation the plant already runs.
INTEGRATED STEEL PLANT · LIVE OPERATION
On a 50-machine sinter line, spiderAI™ brings together equipment signals, verified knowledge, production context, maintenance history, people and procedures, and how the operation is connected. It turns this context into a daily plan: what needs attention first, how production should run, and who needs to act.
spiderAI™ powers continuous, context-driven decisions across the equipment that runs the industrial world, from a single machine to the entire operation.
The same reasoning reaches every person on site through the surface their job needs. A site head asks a question and gets an answer with its evidence. A planner gets a report for any area and any horizon. A technician gets a ranked finding opened into a job card. The workflow carries each finding to the person who may act on it. Seven surfaces, one intelligence underneath.
Ask anything about a machine. spiderAI™ asks who you are and which area you hold, because the same question from an inspector, an area head and the site head has three correct answers. Every answer is cited to verified evidence, or names the gap and the document that would close it. Nothing is guessed.
Every one of these is the same intelligence, seen from a different seat.
Across machines. Between processes. Beyond the reach of isolated measurements.
Lost even after IoT, SCADA and basic predictive maintenance are in place.*
Industry 4.0 initiatives miss business objectives.
McKinsey*Factories fail to implement predictive maintenance.
LLumin / 2025*Industrial operational data goes unused.
IBM*The cost is operational.
The missing piece is context.
*Figures carried over from the current website; source validation pending. Illustrative industrial footage: K and Luke Nomad / Pexels. Product images anonymized.
The machine with no standby, the kiln, the compressor train. Speed of diagnosis converts directly to margin. Served live on a steelworks sinter line.
Failure stops nothing and bleeds silently: scrapped batches, energy fallback, guarantee shortfalls, product made worse and handed forward. Tools built around downtime never catch it. Delivered at a PVC compounding line.
Makes neither the product nor the margin, and its failure is not measured in tonnes. Water utilities sit under the same equipment intelligence as the production line, inside the live deployment today.
Each was delivered with sensing, signal processing and machine learning, before large language models existed. The system found the fault and a person did the reasoning. spiderAI™ now does that reasoning, on ten years of industrial insight we found and confirmed.
Real results, in the words of the people who run the machines.
Before minto.ai's solution, we had 83 hours of production loss over three months, resulting in approximately 57,000 lost inserts. After implementing spidersense™, minto.ai's condition monitoring platform, 90% of this downtime was eliminated. Our maintenance engineers now have better awareness of machines and failure mechanisms, with some months seeing no downtime at all.
spidersense™ is the earlier minto.ai™ platform. spiderAI™ is built on it.
Kudos to the team at Minto Ai for identifying the problem accurately. Their timely detection helped us replace the mandrel assembly, preventing further damage caused by the smaller pulley key and keyway getting crushed.
After installing Minto Ai's system, we quickly identified an issue in the intermediate gearbox. Their system has been helpful in diagnosing the stalling motor and the gearbox shaft problem.
Every steelworks, fab, water network, data hall, mine, fleet and hospital runs on machines that already tell the truth about themselves, in a language nobody has had time to read. spiderAI™ reads it, remembers it and reasons across it, so the people who carry the consequences stop operating machines by guesswork and start governing the knowledge about them. The same people, doing the work only they can do, and nobody standing in front of an open machine wondering which of nine causes it is.
THE HUMAN MOVES FROM OPERATING THE MACHINE TO GOVERNING THE KNOWLEDGE ABOUT THE MACHINE.
What it is missing is the intelligence that turns it into the right decision, for the right person, at the right moment.
