How much funding has Freeform raised?

Freeform has raised $126.0M in total funding. Their latest funding round was Series B. Key investors include ["Founders Fund","NVIDIA's NVentures","AE Ventures","Threshold Ventures","Two Sigma Ventures"].

Where is Freeform headquartered?

Freeform is headquartered in Hawthorne, United States. The company has a team of 51-200 people.

What does Freeform do?

Freeform operates in the AI Infrastructure sector. AI-native autonomous metal 3D printing factories that sense, learn, predict and control metal formation in real-time, bringing software scalability to physical production. Produces digitally-verified, flawless metal parts at unprecedented speed and cost through software-defined, autonomous printing factories that eliminate historical production barriers and enable rapid transition from idea to volume production.

When was Freeform founded?

Freeform was founded in 2018. It is based in Hawthorne, United States.

Who is the CEO of Freeform?

Erik Palitsch is the CEO of Freeform. The company was founded in 2018.

Where is Freeform located?

Freeform is headquartered in Hawthorne, United States.

What funding stage is Freeform at?

Freeform is currently at the Growth Stage stage.

How many employees does Freeform have?

Freeform has approximately 51-200 employees.

Freeform

Category: AI Infrastructure

AI-native autonomous metal 3D printing factories that sense, learn, predict and control metal formation in real-time, bringing software scalability to physical production. Freeform was founded in 2018. The company is led by Erik Palitsch. Based in Hawthorne, United States. Team size: 51-200. Total funding raised: $126.0M. Latest round: Series B. Key investors include ["Founders Fund","NVIDIA's NVentures","AE Ventures","Threshold Ventures","Two Sigma Ventures"].

Founded: 2018
Headquarters: Hawthorne, United States
Team size: 51-200
Total funding: $126.0M

Value proposition

Produces digitally-verified, flawless metal parts at unprecedented speed and cost through software-defined, autonomous printing factories that eliminate historical production barriers and enable rapid transition from idea to volume production.

Products and solutions

["GoldenEye Laser Melting Platform (current generation, 18-laser system)","Skyfall Platform (next-generation, hundreds of lasers, H1 2026 launch)","AI-Native Manufacturing-as-a-Service","Proprietary End-to-End Technology Stack (compute, sensors, controls, software, ML)","Design for Additive Manufacturing Services","Material Portfolio Expansion (10x materials in development)"]

Unique value

Only AI-native manufacturing system in existence - built proprietary technology stack from scratch including compute infrastructure, sensors, controls, software, and ML stack. World's first autonomous metal 3D printing factories that sense, learn, predict and control metal formation as it happens. Unique positioning with on-site NVIDIA H200 GPU clusters for real-time AI processing.

Target customer

Manufacturing companies in high-precision industries requiring mission-critical metal parts: aerospace, defense, energy, semiconductors, automotive, and advanced industrial sectors

Industries served

["Aerospace","Defense","Aviation","Advanced Energy","Semiconductors","Automotive","Consumer Electronics","Transportation","Motorsports (Formula 1)","Marine","Robotics","Industrial Manufacturing"]

Technology advantage

Combines Physical AI with GPU-accelerated computing to enable real-time sensor data analysis from laser heads, thermal cameras, and quality control systems. Current GoldenEye platform uses 18 high-powered lasers; upcoming Skyfall platform will deploy hundreds of lasers capable of producing thousands of kilograms of metal parts daily (25x capacity increase, 10x material expansion). Manufacturing-as-a-service model eliminates capital equipment costs for customers while delivering production at speeds matching traditional manufacturing costs.

How they differentiate

Only AI-native autonomous metal manufacturing system with proprietary technology stack (compute, sensors, controls, software, ML); manufacturing-as-a-service model vs equipment sales; on-site NVIDIA H200 GPU clusters for real-time AI processing; software-defined factories enabling production scale vs prototyping focus

Main competitors

["Velo3D","Desktop Metal","Relativity Space"]

Key partnerships

["NVIDIA (NVentures investor and accelerated computing platform partner)","Boeing (early customer/partner planning to certify and scale metal parts for commercial aviation and defense)","SpaceX (early customer for rocket engine components)","AE Ventures/Boeing's Aerospace Ventures (strategic investor)","Founders Fund (Series B lead investor)","Threshold Ventures (early investor)","Two Sigma Ventures (early investor)","Apandion (investor)","Linse Capital (investor)"]

Notable customers

["Boeing","SpaceX","Ursa Major"]

Major milestones

["Emerged from stealth with $45M funding (Feb 2023)","Strategic investment from NVIDIA and Boeing ($14M, Oct 2024)","Series B raised $67M led by Founders Fund (Feb 2026)","Boeing partnership announced for aviation/defense certification","SpaceX confirmed as customer","Skyfall platform announced (25x capacity, hundreds of lasers)","Continuous production operations deployed"]

Growth metrics

Production phase with continuous operations; raised $67M Series B (Feb 2026); deploying autonomous factories worldwide; developing Skyfall platform (25x capacity increase, H1 2026 launch)

Market positioning

Premium AI-powered autonomous manufacturing targeting high-precision mission-critical parts for aerospace, defense, energy, semiconductor, and automotive industries; positioned as production-scale solution rather than prototyping tool

Geographic focus

North America (headquarters Hawthorne/Los Angeles, California); serving global markets through autonomous factory deployment worldwide

Patents and IP

No registered patents publicly disclosed as of February 2026, though the company has developed extensive proprietary technology across robotics, sensing, simulation, control, machine learning, and verification systems designed from first principles.

About Erik Palitsch

Former SpaceX Principal Architect of Starship Vehicle, Lead of Merlin & Raptor Rocket Engine Programs (2006-2018); 12+ years at SpaceX in propulsion development and rocket engine programs; former NASA Solid Propulsion Systems Engineer (2003-2004); Research Assistant at Purdue University developing CFD models of liquid rocket engines (2005-2006)

Official website: https://freeform.co/