Saturday, October 10, 2026

From Issue 68 (2026-10-10) · 16 stories in this issue

13 VC

❯ Atomic Machines exits six years of stealth with $250 million raised to date to build micro-machines directly from code

$250 million over six yearsAtomic Machines, based in Emeryville, California, emerged on October 7 from six years in stealth and said it has raised $250 million to date. According to FourWeekMBA’s account of the company’s release, investors include OneIM, Gigafund, XTX Ventures, Valor Equity Partners and the Regents of the University of California. The company gave no valuation or breakdown by round.

Compiling code into machinesThe company introduced the Matter Compiler, which it calls an AI-native, all-digital manufacturing system that builds working machines directly from code. It is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, and cooling built directly into AI chips. The release says the system builds moving parts with features down to single-digit microns with no hard tooling.

The first product goes to data centersFounder Jeff Holden was Amazon’s tenth engineer and later Uber’s first chief product officer. The company’s first product, PrimeSwitch, is an electromechanical relay aimed at AI data centers moving to 800-volt DC distribution. The company says it opens in 50 microseconds and will be shown publicly for the first time at the OCP Global Summit on October 12–15. These performance figures are the company’s own.

One line, many devicesAs Dealroom describes it, the industry has long worked on “one product, one process,” with each new class of micro-device taking years of custom development. If one system can really produce different devices by changing code, the time and cost of developing a new device both fall. What it has to prove first is that PrimeSwitch can be produced at volume to its stated specifications and sold into data centers.

▮ SIGNALInvestors are carrying the software logic of shipping a new product by changing code into physical manufacturing, and its first customer is still the best-funded buyer around: the AI data center.