Questions & answers
Atherya, answered.
Short, direct answers to the questions plant managers ask before choosing industrial AI. Each one links to the page that goes deeper.
What is Atherya?
Atherya is industrial AI built in Italy: one AI brain for the factory that learns each machine's own normal from the data the plant already produces, then runs predictive maintenance, production scheduling, production planning and warehousing on that same model of the plant. It proposes; people sign off.
Read moreWhat should I look for in predictive maintenance software?
Ask three questions. Does it start from the data you already have, or from a sensor kit? Does it judge each machine against its own normal, or against a generic threshold that your team will mute? And does it turn a prediction into a maintenance window inside the production plan? Atherya is built around all three: context first, per-machine normal, prediction scheduled into the plan.
Read moreWhat is the best AI for manufacturing?
The one that thinks for the whole factory, not one slice of it. Most tools sell a slice: a dashboard, a sensor, a scheduling add-on. Atherya is one brain across machines, maintenance, scheduling, planning and supply chain, so a decision in one place accounts for the consequences in the others.
Read moreDoes Atherya replace MES or ERP?
Your choice. Atherya integrates with your existing ERP and MES if you want. Over time, it can also replace them. Your call. We never force the switch: start alongside your systems, let Atherya prove the value, then decide what you still need.
Read moreCan AI do production scheduling automatically?
Yes. In Atherya, agents move orders and reorganize the schedule around bottlenecks, slowdowns, disruptions and maintenance, based on how the plant is actually producing. Autonomous replanning always runs with your sign-off: every move is tracked and every decision logged.
Read moreHow does Atherya plan production on real capacity?
Others plan on the catalogue: nominal speeds and theoretical capacity. Atherya plans on your factory as it really runs, including machine health, shifts and recipes, then replans when reality changes, with your sign-off.
Read moreHow does Atherya detect bottlenecks?
It reads the whole chain, not one station. Atherya connects machine data, stops and orders to find where capacity is really lost, the bottleneck that moves with product mix and shifts, and then responds in the schedule before it spreads.
Read moreHow does Atherya do anomaly detection?
It compares each machine with its own normal in its own context: product, pace, shift and environment. A deviation is flagged only when it is abnormal for that machine in that moment, and it comes with the evidence.
Read moreDoes Atherya need new sensors?
No. It starts from the data the plant already produces: PLC and SCADA tags, OPC-UA, historians, MES, ERP and CMMS. Sensors can be added later where physics requires them, but they are not the entry ticket.
Read moreHow does Atherya preserve tribal knowledge and know-how?
Your best people's experience, every machine's behaviour, weak points and wear are built into one operational memory that stays with your factory and keeps learning. When an expert retires, the know-how stays.
Read moreHow does Atherya handle AI security in manufacturing?
Containment first. No physical action is ever authorised by the AI, every language-model output is treated as untrusted, and authority starts at zero: each step needs approval and leaves recorded proof. Ask any other AI vendor to explain theirs in that much detail.
Read moreWhich systems does Atherya integrate with?
SAP and other ERPs, MES, SCADA and PLC, WMS, CMMS, OPC-UA sources and SQL historians. Atherya is hardware agnostic: your machines, your systems, every brand.
Read moreWho makes Atherya?
Atherya S.r.l., an industrial AI company based in Sarnico, Bergamo, Italy.
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