The Los Angeles company will use its AI-native Skyfall platform to produce flight-qualified rocket and satellite parts at volumes previously impossible for metal AM.

From one-offs to production volumes

The Defense Innovation Unit awarded Freeform Future Corp. a contract to build flight-qualified space hardware on demand. The project, called Adaptive Space Manufacturing and Integration at Scale, or 10^n, targets a problem that has limited every defense and commercial space program: the supply chain for high-integrity metal parts is built for low-volume, custom builds with long lead times. Freeform says it will change that by combining its Skyfall platform with GPU-accelerated physics modeling and real-time process control.

The goal is to move from one-off builds to hundreds or thousands of units per year. That is a big jump for metal additive manufacturing, which traditionally struggles to compete with casting and machining once production volumes exceed prototype rates. Freeform's pitch is that its AI-native approach can close that gap without requiring a factory full of engineers monitoring every build.

What Skyfall actually does

Skyfall uses a laser-melting process to build metal parts layer by layer. The system integrates sensors that monitor arc behavior, deposition temperature, and thermal history in real time. Machine learning models compare that data against previously validated builds, flagging deviations before they become defects. The idea is to replace the conventional qualification process, which depends on cutting apart sample parts and running destructive tests, with a continuous digital record of how each component was made.

That matters for space hardware. A propulsion part or structural bracket that flies on a satellite or rocket needs to be traceable. If every step of the manufacturing process is recorded and validated by AI, the paperwork for flight certification becomes shorter. Freeform and DIU are betting that regulators and prime contractors will accept that model.

Why this contract matters now

The U.S. space supply chain has bottlenecks everywhere. Russia and China have domestic launch capacities that can absorb demand faster than American manufacturers can deliver hardware. The Pentagon has been trying to rebuild domestic production for missile components, satellite structures, and rocket engines. Freeform's contract is a small piece of that effort, but it signals something specific: the government is willing to fund AI-driven manufacturing if it can prove it scales beyond the lab.

Freeform already closed a $67 million Series B earlier this year. The DIU contract adds a reference customer with credibility. If the company hits its production targets, it could become the model for how defense primes source metal parts in the next decade.

For now, the proof will be in the parts. Freeform has already produced neutron sensor brackets for Antares Nuclear's R1 Mark-0 microreactor at Idaho National Laboratory. Those brackets are not propulsion hardware, but they prove the platform can run connected to an operating research program. Scaling that capability to thousands of flight-qualified components is the next step, and the DIU money is specifically aimed at closing that gap.

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