e-Magic Inc. specializes in providing expertise and software for the design, development and integration of large scale Industrial IoT and digital twins solutions globally. Our solutions run on-premise as well as in the Microsoft Azure Cloud.Applications include centralized operations, smart buildings, facilities and cities, smart manufacturing, industrial production and AI for prediction and optimization. Our solutions have been installed in a wide range of industrial sectors including: buildings, facilities, healthcare, university campuses, manufacturing, utilities, mining and metals, cement, oil and gas, food and beverage, chemical, petrochemical and pulp and paper.
Offerings
Offering
e-Magic TwinWorX® integrates facility telemetry data into a 3D Digital Twin that enables you to Monitor, Visualize, Control and Optimize assets. It is a scalable solution for companies in a wide range of Industries: Buildings Including commercial, education campuses, industrial; Infrastructure including Ports, Bridges, Roads, Cities, Countries; Manufacturing Facilities including Oil & Gas, Mining, Utilities, Chemical, Food & Beverage; Healthcare including Hospitals, Patient Care Centers, etc. The TwinWorX® platform includes 500+ system and equipment connectors; TwinWorX® Explore, a 3D facility and asset Visualizer, and; TwinWorX® Insights, an analytics engine that detects issues, raises alerts and predicts operational states. TwinWorX® capabilities include: Centralized monitoring and control via Single Pane of Glass Interoperability through integration to data sources connecting things, spaces, people and processes; Aggregation, storage, and analysis of data for alarming, reporting, fault detection and diagnosis (FDD); Predictive Analytics and Insights from stored and streaming IoT data; Digital Twin Model using Digital Twins Definition Language (DTDL) and industry specific ontologies (for e.g. RealEstateCore for smart buildings, NGSI-LD for smart cities). Companies using TwinWorX® can realize a host of benefits and strategic value: Save on Energy costs and improve energy utilization; Decrease downtime from unplanned maintenance; Reduce operational maintenance costs; Improve process efficiencies and automate workflows.