Freeform Secures Investments from NVIDIA’s NVentures and AE Ventures

Freeform, a company in artificial intelligence (AI)-driven metal 3D printing founded by former SpaceX engineers, announces a major investment from NVIDIA's NVentures and AE Ventures. 

As part of this investment, Freeform will join NVIDIA Inception, a program that supports startups, and will leverage NVIDIA's accelerated computing platform to supercharge its existing AI-driven platform, which provides real-time predictive control over the complex physics of the metal 3D printing process. 

“At Freeform, we are pioneering a transformation in manufacturing, where machine learning and supercomputing converge to make the impossible possible,” says Erik Palitsch, CEO and co-founder of Freeform. “Building on NVIDIA's technology allows us to push the boundaries of what metal 3D printing can achieve, giving us the power to produce high-quality, digitally verified parts at speeds that were unimaginable a few years ago.”

Future of Manufacturing with NVIDIA and Boeing

By using NVIDIA's accelerated computing platform, Freeform is building an AI-native, autonomous metal 3D printing factory. This system integrates advanced sensing, process control, and machine learning to adjust the manufacturing process in real time.

“Freeform is leading the way toward autonomous manufacturing using accelerated computing,” says Mohamed “Sid” Siddeek, corporate vice president at NVIDIA and head of NVentures. “Their use of real-time AI-driven process controls and cutting-edge metrology systems sets a new standard for metal additive manufacturing.”

Freeform's AI-powered platform learns continuously from each print, allowing it to predict and control outcomes in real time.

Metal 3D Printing at Scale

Freeform will use the new funding to expand its portfolio of printable materials for industries such as defense, aerospace, energy, semiconductors and automotive.

Freeform's technology stack is designed to bring the scalability of software to physical production. By integrating hardware-accelerated compute platforms with machine learning, the company has created a factory architecture that learns and adapts with every print. 

“The industrial world has operated under the same constraints for far too long,” adds Palitsch. “We're throwing out the old playbook. By combining AI, supercomputing, and advanced sensing, we're empowering industries to move from concept to mass production at record speed—and at a fraction of the cost.”

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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