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10 data contractsSQL · OData · RESTOPC-UA directPLC · SCADA · MESSAP PM · CMMSOrders · BOM · QualityShifts · DowntimeWMS movementsSchema discoveryMachine aliasesMulti-plant sourcesDead-letter replay
First I learn you.Then I work only for you.
A real plant in the district. Six years of raw, dirty data. No questionnaires. No new sensors. Before the software was even installed.
I ask you nothing.I read your database, all of it, to the bottom.And I tell you who you are.
A real plant. Rubber moulding, northern Italy. Zero questionnaires.
THE ARCHITECTURAL BET
THE MARKET MAKES THE PRODUCTION STACK SMARTER.ATHERYA IS BUILT TO REMOVE THE WORK THAT KEEPS THE STACK NECESSARY.
Produce more.
Agentic scheduling & production planning
Cognition
Production intelligence
Predictive maintenance
Learning Engine
Learning Engine
You explain nothing. A few days in, it's the one doing the talking: it knows when you shut down for holidays, which shift runs a little differently — even by just a few minutes — how much energy each machine draws, where your bottleneck is, where you're vulnerable. Nobody told it. It read it in your data. And every day it starts again, and it knows more.
Predictive maintenance
Every machine has a signature when it's healthy. Atherya finds it — and sees it drift days before it fails. No hand-drawn static thresholds firing false alarms: the context is your factory, not a factory. What works for the exact same machine in another plant doesn't work in yours. Weaknesses invisible to any eye. You act before it stops, not after.
Production intelligence
You know what you produce. Atherya knows what you could produce. The gap is the hidden pieces inside your plant: the bottleneck slowing everyone down, the shift that starts late, the line quietly losing speed with nobody noticing, the order running on a machine that isn't healthy, the micro-stops nobody counts. Zero new machines, zero new hires — just your plant, actually used.
Cognition
Millions of data points. Every machine, every cycle, every shift. Atherya reasons across all of them, at the same time, always. Your best technician notices a problem when he can hear it. Atherya notices it while it's still a number moving a little.
Agentic scheduling & production planning
It redistributes orders across machines, reshuffles shifts, moves production where it pays the most — every day, so the whole plant works at its peak.At three in the morning a press slows down. Atherya sees it, knows it's your bottleneck, knows which orders are queued — and replans: it moves the batch, recomputes the shifts, rewrites the plan. By seven, the people walking in find the decision already made. The order ships on time. Nobody had a meeting.No integrations between different tools. No knowledge lost. No time wasted. No delays. This is a plant that doesn't just think — it acts.
COMPLETE SYSTEM MAP
The features that come from the brain.
Every feature below runs on the same plant context.
Direct implementation inside SAP: the agents then write back into SAP, the supply chain and your management systems.
The possibility will be agreed during a meeting — it obviously varies depending on your management system.COMPLETE SYSTEM MAPThe features that come from the brain.
Every feature below runs on the same plant context.
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Live + historical stateMachine signaturesPredictive maintenanceHybrid RULUncertainty gatesMulti-window anomalyDrift detectionSmart calibrationEffective capacityWMS capacityAI + FMEA diagnosisDéjà Vu engineCross-asset learning
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Living schedulingProduction planningWorld-model simulationAnticipation radarQuantified Plan BMaintenance windowsPrescriptive actionsRisk arbitrationCausal explanationLight MRPWarehouse decisionsDelivery impact
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L0 shadow planReactive replanningL1 propose + ratifyRejection memoryOutcome loopL2 signed guardrailsThe BoardDecision journalHuman pinsApproved write-backEvidence copilotVoice interface
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On-premise defaultOffline-firstHybrid sovereignHard multi-tenancyKeycloak SSOSigned audit trailModel registryQuality gatesHMAC model signingObservabilityDR operationsPlant simulators
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Energy per pieceMore output, zero new machinesLess scrap via drift detectionBest machine per recipeFewer micro-stops, less idle energyLonger machine lifeZero new hardware to startCarbon-aware scheduling · potentialAudit-ready ESG numbersFewer emergency call-outsLeaner warehouse movesLeaner warehouse moves
THE RULE ACROSS THE ENTIRE PRODUCTHonest numbers.
No estimate without a source. No autonomous action without a signature. No confidence hidden from the operator.
INTEGRATIONS
It talks to your supply chain. Starting with SAP.
Atherya doesn't replace your systems: it reads them, keeps them current and writes back into them.
Direct implementation inside SAP
The agents then write back into SAP or your management systems: orders, movements, machine records.
The possibility will be agreed during a meeting — it obviously varies depending on your management system.
AND ALSO
- Supply chain
- ERPs · Oracle, Infor, Dynamics
- MES · SCADA · PLC — OPC-UA
- WMS — warehouse movements
- CMMS — maintenance
- SQL · OData · REST — read-only
Inside the product
A glimpse of the software.
Factory overview01 / 13
TWO ROADS TO THE SAME BRAIN
KEEP THE SYSTEMS.OR MAKE THEM UNNECESSARY.
The customer chooses where the operational record lives. ATHERYA provides the same plant intelligence, autonomy ladder and signed audit in both models.
Coexistence
Your ERP stays the record: SAP, Oracle, Infor, Dynamics. Atherya becomes the brain that keeps it current.
IMPLEMENTATION CASE
Direct implementation inside SAP: the agents then write back into SAP or your management systems.
The possibility will be agreed during a meeting — it obviously varies depending on your management system.
- Who picks it Enterprises with entrenched ERP/WMS (SAP, Oracle, Infor, Dynamics) and validation constraints.
- The value Zero migration. Planners stop planning from day one.
Replacement
Atherya is brain and record in one. The legacy systems become unnecessary.
- Who picks it SMEs without entrenched ERP, greenfield sites.
- The value One system, one record, zero reconciliation.
Every path starts with coexistence: when the Board holds the plan better than the legacy stack, switching it off becomes an observation, not a leap.
ATHERYA VS LEADING PLATFORMS
They make production software smarter.
ATHERYA is built to make it unnecessary.
The comparison is not “connected versus disconnected.” The leading platforms are capable. The difference is where intelligence begins, which responsibility it owns and whether the destination is a better stack — or less stack.
| Platform | What it does well | Centre of gravity | Where ATHERYA differs |
|---|---|---|---|
| SAP Digital Manufacturing | Broad MOM execution, resource orchestration and integration with planning and logistics | Configured production models and SAP-led enterprise workflows | Learns actual machine behaviour bottom-up; can feed SAP while assuming the coordination work around it |
| Siemens Opcenter | Comprehensive modular MOM across APS, MES, quality and manufacturing intelligence | An integrated portfolio of specialised manufacturing applications | One learned context generates decisions across functions instead of adding or configuring another suite |
| Sight Machine | Semantic OT/IT model, production intelligence and agents focused on continuous output improvement | Agent-ready plant data and recommendations flowing through the enterprise stack | Couples plant cognition to governed scheduling, planning, warehousing and maintenance responsibility |
| MachineMetrics | Machine-native execution, dynamic scheduling, work orders, OEE and discrete-manufacturing workflows | A next-generation MES grounded in real-time machine signals | Does not aim to become the next MES; it aims to make the production-management layer unnecessary |
| Braincube | Real-time process optimisation that adapts operating targets to changing conditions | Variability, process performance and margin optimisation | Extends from machine understanding into the complete cross-functional management workload |
| Augury | Proven machine health, reliability expertise and role-based agents acting across systems | Uptime and operations built from a large machine-health foundation | Learns each plant locally and binds maintenance to capacity, plans, materials, warehouse and delivery |
| ATHERYAHardware-agnostic | Plant-specific learning, honest numbers, cross-domain decisions and governed autonomy | One live model of how this factory actually behaves | Coexist first. Assume the work. Retire dependencies only after value is proven. |
Capacity · scheduling · production planning · materials · warehousing · maintenance · quality · energy · delivery · governed execution. One context coordinates all of them.
BEST FIT
Mid-to-large automated manufacturers with dense machine data and existing ERP, MES, APS, WMS, CMMS, SCADA or PLC infrastructure—especially where one machine event changes the entire production plan.
Strategic comparison based on current public positioning and publicly available product information as of September 2026 — not a claim of feature parity or equivalent market maturity. Product capabilities may change. All trademarks belong to their respective owners. ATHERYA is not affiliated with or endorsed by the companies referenced. Sources: SAP, Siemens, Sight Machine, MachineMetrics, Braincube and Augury.
Request your demoATH · 01
We read your plant. Before installing anything.
Send us the raw data your machines already produce. We give you back the story of your plant: bottleneck, hidden capacity, real behaviour of every machine. No new sensors, no questionnaires, no installation.
24h
Response
30 min
Demo
Zero
Commitment
contact@atherya.io Predore, Bergamo
Tell us about your factory
We'll bring the rest. No hardware, no commitment.