Company profile
Freeform
AI-native manufacturing systems unifying software, hardware, and physics for industrial-scale parts.
- Category
- Robotics
- Headquarters
- Hawthorne, CA
- Sells to
- Enterprise
- Business model
- Other
- Deployment
- Cloud / SaaS
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- Sensor
What Freeform does
Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, they unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. The company provides a Factory-as-a-Service model, enabling rapid scaling from prototype to production without CapEx or tooling. They design all hardware and software in-house, including compute, sensors, controls, and an ML stack, resulting in autonomous factories that sense, learn, predict, and control metal formation in real-time. Freeform's technology allows for rapid iteration of designs and on-demand scaling, shipping thousands of mission-critical parts for advanced companies.
Key capabilities
- AI-native manufacturing systems
- Unifies software, hardware, and physics
- Autonomous manufacturing systems
- Factory-as-a-Service model
- Rapid prototyping to full-scale production
- No CapEx required for customers
- Flexibility for design iteration and scaling
- In-house designed hardware and software (compute, sensors, controls, ML stack)
- Network of autonomous factories that sense, learn, predict, and control metal formation
- Physical AI platform fusing custom AI algorithms, simulations, and real-time sensor data
- High-throughput laser metal 3D printing system (18 high-power 1kW lasers)
- Assembly-line architecture running 24/7/365 with near-zero downtime
- Breakthrough telemetry system using high-speed cameras, high-performance computing, and machine learning
- Real-time imaging of metal printing physics
- Instant laser adjustments during printing
- GPU-accelerated machine learning
- Microsecond-level control to monitor and adjust print physics
Use cases
- Producing industrial-scale parts
- Rapidly scaling innovation from concept to market
- Manufacturing mission-critical products
- Turning prototypes into production overnight
- Iterating designs in production in real-time
- Scaling production on demand
- Pivoting programs quickly
- Manufacturing parts that cannot be made by other methods
AI approach
Freeform builds AI-native manufacturing systems that unify software, hardware, and physics. They have developed their own compute, sensors, controls, software, and ML stack. Their system uses high-speed cameras, high-performance computing, and machine learning to image metal printing physics in real time, capturing data at microsecond intervals and making instant laser adjustments. They use a proprietary platform called Physical AI, which fuses custom AI algorithms, simulations, and real-time sensor data powered by NVIDIA GPUs to continuously improve print capabilities.
Tech named: Machine Learning, ML stack, Physical AI, custom AI algorithms, simulations, real-time sensor data, NVIDIA GPUs
Industries served
- Industrial Automation
- Aerospace
- Defense
- Aviation
- Advanced Energy
- Consumer Electronics
- Transportation
- Motor Sports
- Industrial
- Marine
- Robotics
- Automotive
What it says sets it apart
- AI-native manufacturing system, the only one in existence
- Built by former SpaceX engineers, applying a 'physics says it's possible' mentality to manufacturing
- Proprietary technology built entirely in-house (compute, sensors, controls, software, ML stack)
- Physical AI platform for continuous improvement
- Highest-throughput laser metal 3D printing system globally (18 high-power 1kW lasers, 24/7/365 operation)
- Ability to move from prototype to production scale rapidly
- Eliminates customer CapEx and tooling costs
- Proven ability to ship thousands of mission-critical parts with zero risk
- Expertise in applying technology to real products
- Leadership team from innovative companies like Apple, Google, Tesla, SpaceX, Velo3D
Funding rounds we track
NVIDIA NVentures, Nvidia’s NVentures, Founders Fund, AE Ventures, Apandion, Linse Capital, NVentures, Threshold Ventures, Two Sigma Ventures, Nvidia's NVentures
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Freeform's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.