Unlock the full potential of your physical assets with digital twins
Gain complete visibility. Monitor, predict, optimize, all in real-time.
What is Digital Twin?
A digital twin is a virtual representation of a real-world process, system, or asset that can be used to monitor, forecast, and improve its performance. It enables simulation, analysis, and optimization of the physical asset's performance in real-time. A digital twin of a machine, for instance, can be used in a manufacturing setting to track performance, anticipate maintenance requirements, and maximize usage for maximum effectiveness and cost savings. It can be used in a number of different sectors, including transportation, healthcare, energy, and more.
Types of Digital Twins
Digital twins encompass a wide range of use across industries and operations.
Digital Twins in Automotive Manufacturing
The automotive manufacturing industry uses digital twins to monitor facility energy usage, improve production line efficiency, and prevent machine downtime.
Digital Twins in Analytical Instrumentation
Lab analytical instrumentation manufacturers leverage digital twins to monitor, predict and optimize their chemical sampling equipment to optimize accuracy and usage.
Digital Twins in Oil and Gas
Digital twins enable the oil and gas industry to modernize and digitize their physical assets and systems to monitor equipment health and fill in personnel knowledge gaps.
Why Deliver Your Digital Twins with Prescient?
Prescient supports your team to drive operational excellence, to optimize asset performance and to make smarter business decisions with data intelligence.
How you benefit from Prescient's solution:
- Combine all your data sources
- Transform raw data into knowledge
- Generate real-time priority alerts
- Visualize operational and business insights
- Fast data engine feature customization
- Secure, enterprise-grade, containerized solution
- Choose between hybrid and on-prem solutions
"Prescient knows what it takes to unlock analytics and AI at the edge. They are a major enabler for discovering insights from complex, distribution data at the edge which can take every product to its next level”
Amir Kashani, Director AI and Digital Product development - Stanley Black & Decker