Digital Twins

Digital Twins are dynamic virtual representations of assets, processes and enterprises. They provide continuous awareness of how their real-world counterparts are performing and enable future plans to be tested in advance. When infused with AI, digital twins also predict future events before they occur, prescribe improvement actions and optimize in real-time. These AI-powered twins are improving business outcomes and becoming key building blocks for digital transformation.

Why Digital Twins?

A 2019 Gartner survey found that 75% of companies with Internet of Things (IoT) projects have already implemented digital twins or will within a year. Asset-intensive industries, such as manufacturing, energy, utilities, mining and transportation, are particularly motivated to put digital twins at the center of their digital transformation efforts. Why? Digital twins are tireless workhorses that improve business performance by increasing operational awareness and autonomy. They're purpose-built to meet targeted outcomes, from optimizing maintenance to reducing customer churn. They also combine to form an integrated intelligence network for scaling digital transformation.

Digital twins empower asset-intensive industries to:

Reduce Downtime

Conserve Resources

Increase Team Productivity

Improve Service Reliability

Improve Customer Relations

Reduce Operating Risk

Improve Product Quality

Increase Profit Margins

Increase Capacity & Yield

Reduce O&M Costs

Reduce Pollution

Institutionalize Knowledge

nD Digital Twins

The power of digital twins is only realized when they’re applied at scale to solve complex problems. The nD platform makes it fast and easy to put digital twins to work delivering value enterprise-wide. nD comes fully loaded with rapid-build twin templates, advanced AI functionality and turnkey applications.

AI-Powered Functionality

nD digital twins come ready to work using the platform’s automated AI functionality. At the click of a mouse, they’ll tirelessly monitor, diagnose, predict, prescribe, optimize or dynamically plan to transform business outcomes.



Leverage data and sensors to track performance and detect anomalies and events.


Quickly classify the root cause of anomalies and events to expedite resolution.


Predict events and outcomes before they occur to avoid or minimize disruptions.


Recommend outcome-focused remedies for diagnosed or predicted issues.


Take closed-loop actions to optimize business outcomes within operating constraints.

Dynamically Plan

Continuously re-evaluate forward-looking strategies to maximize enterprise value.

Turnkey Twin Applications

Get on the fast-track to value with nD’s turnkey digital twin applications. We've taken some of the highest-value use cases and created ready-to-launch AI applications for your digital twins. These performance, maintenance and optimization applications combine purpose-built templates and dashboards with advanced AI to deliver next-gen outcomes at the speed you need.


Go beyond monitoring what's happening to predicting future performance. nD's Predictive Performance application harnesses the latest machine learning technology to dynamically understand normal performance, detect anomalies, quantify potential root causes, and predict future performance issues and their outcomes. Mitigating risks, improving KPIs and transforming productivity.



Go beyond predicting failures to prescribing remedial actions. nD’s turnkey Prescriptive Maintenance application continuously collects data about an asset’s condition and predicts when a failure is likely to occur. It estimates the failure’s impact, determines potential root causes and provides outcome-focused recommendations to minimize negative impacts. Reducing unplanned downtime, extending asset life and avoiding unnecessary maintenance costs.



Go beyond controlling operations to dynamically optimizing them to achieve business goals. nD’s turnkey Process Optimization application constantly searches for ways to optimize outcomes by adjusting operating variables within constraints. It predicts operating events and their impacts and balances interrelated actions against their collective effect. Improving operations in real or near real time, streamlining processes and realizing new efficiencies.