Freeform Raises $67M for Laser AI Manufacturing

• Freeform's platform uses machine learning models running on Nvidia H200 GPUs to control industrial lasers with microscopic precision[1] • The GoldenEye system employs 18 synchronized lasers to fuse metal powder into finished components layer by layer[2] • The upcoming Skyfall platform scales to hundreds of lasers, designed to produce thousands of kilograms of metal parts daily[2] • Active software controls enable real-time adjustment of laser power, speed, and trajectory thousands of times per second[1] • The company collects extensive sensor data from manufacturing processes and simulations, providing what leadership claims is 'more meaningful data on the physics of the metal-printing process than any company in the world'[2] • The platform is described as 'AI native' with deep integration between GPU computing and physical laser control systems[2]

Freeform's approach signals a fundamental shift in manufacturing paradigms where AI-driven precision and real-time optimization replace traditional labor-intensive processes. The company's focus on scale manufacturing rather than prototyping addresses critical industry pain points: labor shortages, supply chain fragility, and demand for complex precision parts. With SpaceX validation and aerospace-grade qualification, the technology demonstrates viability for high-stakes applications. The deployment of data center-grade GPU clusters on factory floors represents a new model for manufacturing infrastructure, potentially inspiring similar hybrid AI-physical systems across industries. Success at scale could accelerate adoption of AI-controlled additive manufacturing in defense, aerospace, and advanced industrial sectors, while challenging traditional subtractive and conventional manufacturing approaches.