CPNET offers an AI platform designed for manufacturers to integrate machine, MES, QMS, and EAM data into real‑time dashboards and alerts. The system provides predictive intelligence that detects quality issues and anomalies early, enabling data‑driven decisions that improve efficiency, reduce waste, and lower production costs.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers often struggle to consolidate data from disparate sources such as machine sensors, MES, QMS, and EAM systems, leading to delayed detection of quality issues, inefficient operations, and higher waste.
Solution
CPNET offers an AI platform that integrates real-time machine data with enterprise manufacturing systems to deliver unified analytics and alerts. The platform’s predictive intelligence layer identifies quality anomalies early and forecasts operational trends, allowing teams to intervene before defects propagate. A built‑in Copilot provides contextual guidance, turning raw data into actionable recommendations for process optimization. Customizable dashboards let users monitor key performance indicators at a glance, supporting data‑driven decision making across the factory floor. By automating insight generation, CPNET helps manufacturers improve efficiency, reduce waste, and protect their bottom line.
Target Audience
Primary customers are mid‑size to large manufacturers seeking to centralize operational data and apply AI‑driven insights to improve quality, efficiency, and cost management.
Features
- Seamless integration with machine data, MES, QMS, and EAM platforms for unified data ingestion
- Real‑time alerting engine that notifies operators of deviations as they occur
- Predictive intelligence models that detect quality issues early and forecast production trends
- Copilot Basic that delivers contextual, prescriptive guidance based on live analytics
- Fully customizable dashboards for monitoring KPIs, efficiency, and cost metrics
- Scalable architecture designed for complex, multi‑site manufacturing environments