PhysicsX: Accelerating Engineering Innovation with generative AI

PhysicsX, is transforming how engineers design, and test, and operate complex systems and machines, replacing traditional numerical simulation with AI-powered inference that to dramatically accelerate  product development.

Running detailed numerical simulations to predict physical behavior typically demands significant time and resources. However, it’s critical for engineers building anything from planes and electric cars to semiconductors and consumer electronics solutions.

PhysicsX collaborated with AWS to create an enterprise AI platform that drastically accelerates this process and enables a more efficient path from digital design to real-world performance. It’s allowing engineers to run simulations at speed and scale, and to test and optimize designs more cost-effectively.  

“Being a startup, you have to move very fast,” says Founder & Chairman, Robin Tuluie, Ph.D. “AWS has been great, providing us compute power quickly, and helping us interact with customers effectively in the marketplace.”

Built on the AWS cloud, the PhysicsX’s platform replaces traditional numerical simulation with high-performing physics-based AI foundation models, powered by AWS Elastic Kubernetes Service, with models trained using AWS Batch. The startup was able to easily and cost-effectively access the AWS services through AWS Activate, the AWS Generative AI Accelerator, and the Clean Energy Accelerator, allowing it to develop and scale its solution platform and model training infrastructure, and reach more customers as a result.

Organizations in sectors spanning automotive, aerospace & defense, materials, semiconductors, and energy, can now address some of the most complex challenges in engineering, using the platform to improve maximize performance and compress traditional development timelines. Discover how PhysicsX is leveraging AI to make this happen.

If you're ready to start your AI journey with AWS, apply for AWS Activate Credits today.