Itility - Data Solutions - Digital Twins for High-Tech Manufacturing

Accelerating Cycle Time and Enhancing Quality by Reusing Engineering Simulations In high-tech manufacturing, cycle time and product quality are critical. Engineering teams use physics-based models to qualify designs, but these models often remain underutilized beyond the development phase. By integrating real-world test data into digital twins, manufacturers can detect anomalies early, speed up root-cause analysis (RCA), and improve decision-making without costly real-world iterations.

As product complexity grows, reusing simulations in later lifecycle stages reduces delays and enhances precision. By running qualification data through digital models, potential issues can be identified faster, and corrective actions can be validated in a virtual environment before applying changes to production.

What We Deliver We enable manufacturers to leverage digital twins beyond engineering, integrating them into qualification, production, and maintenance processes:

1. Digital Twin Engineering Platform – Bringing physics-based models to the cloud (FMI/FMUs), enabling scalable simulations accessible to designers.

2. Harmonized Data Collection – Structuring real-world and virtual data with metadata for improved analysis and decision-making.

3. Lifecycle Model Utilization – Using models for quality checks in manufacturing, predictive maintenance, and continuous product improvement.

By partnering with Itility, manufacturers enhance quality, accelerate time-to-market, and reduce costs through scalable, cloud-enabled digital twin solutions.

AWS Tools & Platforms The Itility Digital Twin service utilizes key AWS services to create scalable and efficient digital twins. AWS Lambda enables real-time data processing, while Amazon SageMaker supports predictive maintenance with machine learning. AWS Glue integrates and prepares data for analysis, ensuring seamless data flow. AWS Fargate and AWS Batch provide scalable compute power for running large-scale simulations without managing infrastructure. These services work together to optimize manufacturing processes, improve product quality, and accelerate decision-making.