Rescale just secured a hefty $115 million in Series D funding to turbocharge its AI-driven digital engineering platform. Big names like Applied Ventures, NVIDIA, and even Y Combinator are betting on Rescale’s vision, pushing their total funding past the $260 million mark.
According to Rescale’s founder and CEO, Joris Poort, the mission is to break down the barriers of limited computing power and data silos, allowing engineers and scientists to turn ideas into reality faster. It underlines Rescale’s goal to empower engineers and R&D teams using applied AI, advanced computing, and intelligent data management.
NVIDIA’s CEO, Jensen Huang, sees Rescale’s platform as a way for industries to push the limits of AI-driven modeling and simulation. Rescale supports industries which include aerospace, automotive, energy, life sciences, manufacturing, public sector, and semiconductors.
Enterprises are trying to get products to market faster. High-performance computing is now a $50 billion market, product lifecycle data management a $30 billion market, and simulation software a $20 billion market. Rescale aims to unify software, hardware, and data systems while embedding AI capabilities into analysis, modeling, and simulation workflows.
Rescale currently supports enterprise customers with over $1 billion annually in high-performance computing infrastructure. Among their hundreds of enterprise customers are Arm, General Motors Motorsports, Samsung, SLB, and the U.S. Department of Defense.
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Dr. Om Nalamasu, CTO of Applied Materials and President of Applied Ventures, said that Rescale’s software suite speeds up AI physics simulation capabilities and adoption of digital twin initiatives. He also stated that they’ve experienced firsthand how ReScale’s software product suite can speed AI physics simulation capabilities.
The new funding will be used to expand Rescale’s digital engineering platform, specifically focusing on:
- Expanding workflows: Growing its library of over 1,250 applications and a global network of over 500 cloud datacenters.
- Establishing unified data: Creating a data fabric and digital thread capability for modeling and simulation workflows, including AI-native search and automation, alongside enterprise security and compliance offerings.
- Empowering enterprises: Democratizing and automating the use of AI Physics tools and libraries, which can lead to speed improvements in design validation.
Rescale’s platform integrates cloud high-performance computing, data management, and applied AI. The company provides access to a large network of engineering and R&D applications and computing infrastructure.
