RadarMakers editorial
Nominal raises $240 million for hardware testing at a $3 billion valuation
Nominal raised a $240 million Series C at a $3 billion valuation for software that connects hardware test data with AI analysis. The company says more than 80 commercial and government organizations use its platform.
Nominal, an Austin startup building software for hardware engineers, announced a $240 million Series C on November 9 at a $3 billion valuation. Lightspeed Venture Partners led the round, with Insight Partners as co-lead. Sequoia, General Catalyst and Lux Capital are also investors.
TechCrunch's March report puts the earlier extension at $80 million, following a $75 million Series B, with a $1 billion valuation.
The company builds a platform for engineering and testing complex machines, including aircraft, nuclear reactors and factories. Nominal says more than 80 commercial and government organizations use it, including Anduril. Those customer figures come from the company.
In October, Nominal announced selection for a $71.2 million Strategic Funding Increase package supporting Air Force and Navy programs. Its announcement breaks that total into $30 million in private matching funds and $41.2 million in government funding. The work includes organizing aircraft test and telemetry data and sharing evidence across teams.
On its blog, Nominal argues that a general model is not enough for this work. "In engineering, physics gets a vote." A design can look right on paper and still fail once a machine is built and tested. The company describes four layers: Connected Control, Data Infrastructure, an Intelligence Layer, and Engineering Applications.
Nominal Analyst is its first purpose built AI agent. The company says it investigates engineering data and runs analyses with answers traceable to the underlying evidence. Engineers retain control of important decisions, reviews and approvals. Customers can also build applications through SQL, APIs and MCP.
For makers, the concrete product choice is to connect AI to the measurements, configurations and past experiments behind an engineering decision. Nominal is selling the infrastructure around those records as well as the agent that works with them. Its stated goal leaves the engineer responsible for judging the result.