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Launch new and improved products faster at reduced costs

Transform your traditional R&D and engineering operations with digital twins, data, AI and cloud

Why digital engineering and R&D matter

Customer needs are changing fast. Products are becoming more complex by the day. How do you keep up?

By digitizing your engineering processes—from research and prototyping to full-scale engineering—you can foster greater innovation and accelerate your time to market. This approach not only helps in reducing costs but also ensures that sustainability and security are built in from the start.

83%

Additional revenue is achieved by organizations that place a strategic emphasis on advanced data strategy to extract business value

84%

of business executives believe they need to use AI to achieve their growth objectives

80%

of all product-related environmental impacts are determined during the design phase of a product

How AI is changing digital engineering and R&D

Innovate faster at lower costs

Using AI and machine learning in the design process can accelerate development time and lead to the creation of superior products. Gen AI can power digital twins that facilitate simulations and performance analysis. AI agents also help analyze data, identifying patterns and providing insights for informed decision making. As an engineering copilot, AI can help in streamlining the engineering lifecycle, leading to cost reduction and creating new revenue streams.

What you can do

Set ambitious targets for engineering efficiency to help you stay competitive and meet the challenges ahead.

With agile tech, optimized portfolios, and alignment with net-zero, circularity, and trusted engineering principles, you can build a strategy for success.

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Respond to changing customer demands using AI-powered digital twins to problem solve, prototype and model different scenarios. A digital twin strategy will help you get the most out of your investment and get products and services to market faster.

15-40%

improvement in time to market can be achieved by companies that have merged the standalone data supporting digital twins into a fully integrated digital thread

Use cloud to connect your data across systems and teams, creating a single digital thread to avoid gaps and inconsistencies. AI can contextualize information from multiple sources. Gain access to data from smart products in the market and downstream processes.

Up to 5X

the speed of data capture and curation that can be achieved by companies through thread automation

Use digital twin technology in R&D to drive sustainable product and service innovation, design and development.

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