When machinists with decades of experience retire, everything they know about how metal behaves under a cutting tool — or anything else they learned through a career of scrapped parts and expensive mistakes — walks out the door with them.

A startup with roots in Seattle, started by two founders in their 20s, is building technology to capture that knowledge long before that point.

Neuramill, founded last year by CEO Nistha Mitra and COO Nick Khormaei, is developing what the company calls an intelligence layer for high-precision manufacturing.

The software reads a design file and figures out how the part should be made: which tools, which machines, and in what order. A machinist reviews and approves every plan before anything reaches the floor.

“This is a high-skill job, and nobody’s retaining this information,” Mitra said. When the machinists who know how to build complex jet engine parts retire, she said, that knowledge goes with them. “We help retain that for the future generation.”

Khormaei said the two founders spent much of the past year visiting machine shops to watch how the work gets done.

“The craft itself is so impressive,” he said. “They’re able to look at these drawings and models that come in and know exactly how to build it. It’s like they’re doing real-time physics simulation.”

Early customers and partners: The company says it has closed a six-figure contract with a major defense contractor, one of the companies known in the industry as primes. Neuramill declined to name the contractor.

Two of the machine shops using the software are Diamond Machine Works, a Seattle precision machining company founded in 1959, and VTN Manufacturing in San Jose, Calif. Satellite maker Astranis is a design partner.

Mitra said the company is not yet selling broadly, but has been paid by some of the early customers testing the software.

How they got here: Mitra, 26, has a computer science degree from the University of Maryland and spent three years at Oracle, most recently as an AI applied scientist in Seattle, working on multimodal models that reason across several kinds of data at once.

Khormaei, 24, holds bachelor’s and master’s degrees in electrical engineering from the University of Washington. He was a propulsion engineer at Boeing in Everett, where he worked on 777X fuel system electrical certification, and then spent part of last year at SpaceX as an integration and test engineer on Starlink manufacturing in Redmond.

He also grew up around machining. His father, Ron Khormaei, co-founded FINEX Cast Iron Cookware in Portland in 2012 and sold it to Lodge in 2019. Khormaei worked production there as a teenager.

Where the software fits in: Neuramill’s technology works at a stage that has stayed largely manual: after the design file arrives, and before a programmer opens the computer-aided manufacturing (CAM) software that translates decisions into machine instructions.

Rather than position the company against Siemens and Mastercam, Mitra said Neuramill plugs into those systems. The company recently joined Siemens’ Frontier Partner Program, which gives startups access to the company’s software tools.

“At this point we are very collaborative with these companies,” she said, adding that the established vendors are looking for new technology of their own.

Bay Area and Seattle: Both founders worked in the Seattle region before leaving for San Francisco, a move Mitra described to GeekWire in February. They are back every four or five weeks now, working out of Foundations, the Seattle founder hub.

“We love this ecosystem. It gave birth to Neuramill,” Mitra said. They keep coming back in part for the customers: “This is a booming ecosystem in space and in aerospace.”

Funding and team: Neuramill has raised an undisclosed amount from Ascend, Breakwater Ventures, Schema Ventures, Creative Destruction Lab, Acequia Capital and Correlation Ventures.

The team is six people plus a contractor: the two founders, a chief research scientist who worked with Mitra at Oracle, and three engineers, one of them a machinist.

What’s next: The long-term goal, Mitra said, is a “world model” for manufacturing: a system that can reason across geometry, materials and machine behavior at any level of complexity. Even then, she sees a role for the people on the shop floor.

“There is a beauty to the craft of manufacturing that we should really respect,” she said. “There are some places where humans should not be extracted out of an industry, and I think manufacturing is one of them.”

A Redmond, Wash., robotics software startup founded by former Microsoft researchers says its platform can now handle much of the work of getting a robot up and running in a factory, warehouse or other industrial setting, a job that used to take a team of engineers.

General Robotics said Wednesday that advances in GRID, its robot intelligence platform, have cut the process of onboarding a new robot from about a month to as little as two hours. The company calls the approach “Auto Engineering,” with each onboarded robot and diagnosed failure feeding back into the system and speeding up the next deployment.

“Before this moment, it would take us a team of experts to go and execute on behalf of our customers,” said General Robotics CEO and co-founder Ashish Kapoor in an interview. “Clearly non-scalable, clearly very expensive, and clearly will take a long time.”

With Auto Engineering, he said, “we can magnify and accelerate each engineer’s capability.”

Founded in 2023, the company has grown to about 50 employees, primarily engineers. It has raised nearly $34 million, most recently in an April round led by Construct Capital, with participation from Khosla Ventures, Accenture Ventures, Nvidia and Valo Ventures. PitchBook put the size of the round at $25 million; the companies didn’t disclose terms at the time.

Kapoor said General Robotics has roughly a dozen customers — large enterprises across manufacturing, logistics, energy and defense — and revenue in the millions of dollars.

Customers include HTX, the science and technology agency of Singapore’s Ministry of Home Affairs, which Kapoor said has been working with General Robotics for about a year and a half.

The company’s platform works with robot types including industrial arms, humanoids, quadrupeds, wheeled robots and drones, according to the company.

General Robotics is operating in a competitive and well-funded sector. Physical Intelligence, which builds foundation models for robots, has raised more than $2 billion. Nvidia — an investor in General Robotics, and the maker of the Isaac Sim simulation software built into GRID — is developing its own robot models and deployment tools.

Robot makers build good hardware, Kapoor said, but often lack the expertise to put it to work in a specific setting like a shipping terminal. “That last layer is missing.”

Before co-founding the company, Kapoor spent 17 years at Microsoft, ultimately as general manager of its autonomous systems and robotics research group in Redmond, where he created the open-source drone simulator AirSim. General Robotics co-founders Sai Vemprala (CTO) and Shuhang Chen came from the same Microsoft team.

GeekWire covered the launch in 2023, when it was Scaled Foundations and billed itself as “ChatGPT for robots.” It had five employees at the time, focused on aerial robotics and drones, with backing from Khosla and E14 Fund. It later renamed itself General Robotics.