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Freeform

Freeform operates software-defined, autonomous metal 3D printing factories that utilize advanced sensing and real-time controls to produce digitally-verified parts with high precision. This technology significantly reduces production costs and time, making scalable metal 3D printing accessible across various industries.

Hawthorne, United StatesFounded 20195810K+ followers
Updated 2 months ago

Funding

$62.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

AIN
Funding rounds are not available yet.

Founders

Product

Problem

Traditional metal manufacturing and existing 3D printing processes are slow, require high capital investment, and lack real-time intelligent control, leading to long lead times, inconsistent quality, and limited scalability for mission‑critical parts.

Solution

Freeform provides an AI‑native, autonomous metal additive manufacturing platform that combines in‑house designed hardware, high‑power laser arrays, advanced sensors, and GPU‑accelerated machine‑learning control. The system monitors the physics of each print at microsecond intervals and automatically adjusts laser parameters to ensure aerospace‑grade tolerances while running continuously 24/7/365. Customers access this capability through a factory‑as‑a‑service model, allowing them to move from prototype to full‑scale production without upfront equipment costs, tooling, or headcount. Real‑time telemetry and digital verification deliver consistent part quality, rapid iteration, and on‑demand scaling for complex, high‑value components.

Target Audience

Primary customers are aerospace, defense, automotive, advanced energy, semiconductor, and other high‑performance industries that require fast, low‑volume to high‑volume production of certified metal components.

Features

  • Integrated 18‑laser, 1 kW high‑throughput metal printing architecture operating with near‑zero downtime
  • Real‑time telemetry using high‑speed cameras and GPU‑accelerated AI to image and control melt‑pool physics at microsecond resolution
  • Fully in‑house designed hardware, optics, control software, and machine‑learning stack (Physical AI) for continuous process improvement
  • Factory‑as‑a‑Service model eliminates capital expenditure, providing on‑demand capacity and rapid design iteration
  • Automated digital verification and predictive quality control ensure aerospace‑grade tolerances for each part
  • Scalable, modular factory architecture (e.g., upcoming Skyfall system) capable of 25× throughput expansion
This profile is AI-generated and may contain inaccuracies.