Applus+ IDIADA launches AI-powered CAE integration service, slashing simulation time from days to seconds
Engineering teams can now cut CAE simulation time from days to seconds with Applus+ IDIADA's new AI/ML surrogate service.
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What Happened
Applus+ IDIADA, a global leader in automotive engineering and testing services, announced that its AI for CAE - Integration Services are mature enough for a wide launch. The service uses artificial intelligence and machine learning surrogates to transform traditional CAE workflows. It cuts computation time from days to seconds, enabling interactive performance assessment and faster decisions. The service covers the entire AI/ML CAE lifecycle through six integrated components and delivers three core benefits.
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- Seconds
- Unique Team Expertise: a specialized AI/ML team combining CAE engineering knowledge with advanced data science skills.
- Proven Global Experience: implemented solutions across multiple OEMs in Asia, India, and the EU, covering Aerodynamics, Structural Dynamics, NVH, Impact Simulation, and Modal Analysis.
- Strategic Technology Collaboration with Autodesk to leverage premium NavPack ML solutions, providing validated methodologies and cutting-edge technology.
“By combining our deep CAE domain expertise with advanced AI/ML capabilities and the Autodesk NavPack Team, we're delivering tailor-made solutions that integrate seamlessly into existing workflows while dramatically accelerating time-to-insight.”
Why this matters
For automotive engineering teams, this service tackles the pressure to speed up product development while keeping accuracy: simulations that once took days can run in seconds, enabling interactive performance checks and faster decisions. Applus+ IDIADA says it has already deployed AI/ML solutions at multiple OEMs across Asia, India, and the EU, covering areas like aerodynamics, NVH, and impact simulation.
Terms in This Story
- CAE
- Computer-Aided Engineering; software used to simulate and analyze engineering designs before physical testing.
- AI/ML
- Artificial Intelligence and Machine Learning; technologies that let systems learn from data and make predictions.
- NVH
- Noise, Vibration, and Harshness; a field measuring how these factors affect vehicle comfort.
- OEM
- Original Equipment Manufacturer; in autos, a carmaker.
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