Manufacturing companies face a challenge every day when it comes to adapting to new operating conditions in their processes, while they must meet delivery deadlines and established quality.
Take control of your processes and experiments through a tool that allows you to understand, predict and make decisions, correlating all data from your production, quality control and logistics data through artificial intelligence and advanced simulation models, without the need to be a data scientist.
Take the full control of your production, observing real-time monitorization, predictions and recommendations.
Design your next experiments, optimizing multiple parameters and understanding the influence of each of them.
Create the digital twin of your equipment, to simulate its performance in different operating environments, reducing the physical testings.
Why you should consider implementing the digital twin in your organization
Analyze, predict and optimize your resources and experiments
Receive AI recommendations to reduce your costs
Predict failures, breakdowns and bad batches before they happen
Reduce both your defective batches and wastes/emisions
Help manufacturing companies to be more efficient, using AI to reduce their costs as well as their environmental impact
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