Nvidia, Applied Materials Back Digital Engineering Startup In $115M Round

Digital engineering startup Rescale has secured $115 million in Series D funding, raising its total funding to more than $260 million.

Investors in the round included chip giant, Nvidia Corp NVDIA, the venture capital arm of semiconductor company Applied Materials Inc AMAT, Hitachi Ventures, Foxconn, and Y Combinator, among others.

Rescale also counts early backers like Sam Altman, Jeff Bezos, and Peter Thiel among its notable supporters.

Rescale's platform integrates high-performance computing (HPC), data intelligence, and applied AI to streamline product development across sectors such as aerospace, life sciences, automotive, and defense.

Rescale is under the helm of founder and CEO Joris Poort.

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Rescale serves a roster of high-profile clients, including General Motors Motorsports, Samsung, Arm, and the U.S. Department of Defense.

These organizations collectively invest more than $1 billion annually into HPC infrastructure, relying on Rescale's tools for tasks like crash simulation, aerodynamics optimization, and drug development acceleration.

The funding will fuel the company's plans to scale its unified platform for digital R&D innovation and scientific discovery. The company plans to deepen partnerships with providers like Amazon Web Services, Microsoft Azure, Intel, and Oracle Cloud Infrastructure.

Enhancements will include unified data fabrics, security upgrades, and automation tools designed to deliver massive speed improvements over 1,000x in validating designs using AI Physics models.

"With Rescale's full-stack NVIDIA software and infrastructure, industries can push the boundaries of AI-driven modeling and simulation—advancing discovery, design, and engineering at an unprecedented pace,” said NVIDIA founder and CEO, Jensen Huang.

With HPC now a $50 billion industry, and simulation software and product lifecycle data management valued at $20 billion and $30 billion respectively, Rescale helps companies in integrating compute, data, and AI capabilities.

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