Advanced manufacturing services company Freeform has closed a 67 million USD Series B round, with AE Ventures and NVIDIA's NVentures capital arm again investing in the first.
The company initially received the support of AE Ventures and NVentures in 2024 as it raised 14 million USD. Owing to an additional fundraising of 45 million USD as the company emerged from stealth in 2023, Freeform has now raised more than 120 million USD.
Freeform was founded to 'remove the fundamental limitations of traditional manufacturing' with a combination of additive manufacturing, AI and hardware-accelerated computing. The company says it is now in 'continuous production' with mission-critical components being delivered to the 'most demanding frontier programs' at the 'fastest-growing companies in the world.' Demand, Freeform suggests, is outpacing capacity.
As the company looks to scale its manufacturing capacity to meet that demand, it has procured investment from existing investors, as well as the likes of Apandion, Founders Fund, Linse Capital, Theshold Ventures, and Two Sigma Ventures. This cohort of investors is said to bring deep experience and operational capability that will support Freeform's scale-up ambitions.
The company's next-generation Skyfall factory platform - which is powered by high-performance computing, where GPUs enable the sensing, simulation, and real time control - is set to go live in the first half of 2026. Freeform claims this to be the 'world's fastest laser melting platform' and suggests it is capable of producing thousands of kilograms of high-quality parts per day. Such figures mean Freeform's production capacity will be expanded by around 25x. Freeform says it will also expand its material offering by 10x.
An update on the company's website reads: "We have developed proprietary, purpose-built technology across robotics, sensing, simulation, control, machine learning, and verification, designed from first principles to operate as a unified whole that is fundamentally flexible and scalable. By unifying these capabilities into AI native factories, we unlock new classes of products that could not exist before, while enabling faster iteration, higher yield, and scalable production, bringing physical manufacturing closer to the pace of human ideation."
