Governed AI for
Manufacturing Operations.
From predictive maintenance to supply chain optimization — turning operational data from IoT, SCADA, MES, and ERP into governed decisions that activate directly in your core systems.
Where AI Actually Gets Hard
in Manufacturing
Not hype. Not generic. These are the friction points where most AI deployments stall — and where ARPIA's Intelligence Execution Layer is built to deliver.
Operational Data Silos at Scale
IoT sensors, SCADA systems, MES, ERP, and quality platforms generate vast data in disconnected systems — requiring a semantic layer before AI can reason across the full operation.
Real-Time Decision Complexity
Maintenance windows, quality gates, and logistics decisions involve thousands of interdependent variables — requiring multi-model reasoning with full traceability at every step.
From Insight to Work Order Activation
The gap between an AI-generated maintenance recommendation and an activated work order or purchase order in your ERP is where most manufacturing AI investments stall.
From Your First Governed Pipeline
to Full Autonomous Execution.
ARPIA meets manufacturing organizations at any stage of AI maturity — and grows with them. Use Case 1 and Use Case 6 run on the same platform.
Unified Operational Data & First Predictive Model
Connect IoT sensors, SCADA, MES, ERP, and quality systems into a unified semantic layer. Deploy your first governed predictive model — equipment health scoring, quality risk tiering, or production anomaly detection — with full data and model traceability.
Multi-System Intelligence & Automated Operations Reporting
Coordinate multiple AI models across maintenance, quality, and supply chain data. Automated exception reporting, cross-plant decision synthesis, and full audit trail at every decision — ready for ISO and operational review.
Agentic Operations Pipeline → ERP & MES Activation
Agentic pipelines reasoning across production schedules, parts availability, maintenance windows, and quality data simultaneously. Decisions validated and activated as work orders or purchase orders directly in ERP and MES — no manual handoff.
Every stage runs on the same platform. No rebuilding, no migration. You scale the architecture — not the infrastructure. Read the full technical breakdown →
We Build Your First Use Case.
You Run It. You Scale.
The ARPIA platform is already built — 7 years of production development. Our team engages as co-builders on your first use case, then hands you the capability to scale independently.
Understand
We map your most complex manufacturing or supply chain process — data sources (IoT, SCADA, ERP, MES), decision logic, compliance requirements, and system activation targets. Every conversation starts with your hardest operational problem.
Build
We design and deploy the AI pipeline on ARPIA in 30–90 days. Full governance and 4-level traceability are built in from day one — Data, Model, Decision, Audit.
Scale
You run Use Case 1. Your team learns the platform. We help you identify and design the next pipeline — without rebuilding infrastructure or starting from scratch.
What Is Your Most Complex Operational Process?
Tell us your hardest maintenance, quality, or supply chain challenge. We will show you exactly how ARPIA solves it — and how fast.