Nominal raises $240M Series C at $3B for hardware test software

A startup that builds software for hardware engineering teams just closed one of the biggest AI-adjacent rounds of the week. Nominal said on 9 November that it had raised a $240 million Series C. Lightspeed Venture Partners led it. Insight Partners co-led. Sequoia, General Catalyst and Lux Capital also joined. The valuation is $3 billion. TechCrunch reported that Nominal's valuation tripled in eight months.

What Nominal builds

Nominal calls its product "the intelligence platform for hardware." The company says its software ties test data to design choices. The data comes from test runs on aircraft, nuclear reactors and factories. The platform records each run. It flags a regression. It links every measurement back to a part, a design and a specification. The company says this means a hardware team spends less time joining data by hand.

The customers Nominal names

Nominal says it serves more than 80 commercial and government organizations. It says these include five of the seven largest defense contractors. The named customers on the page are Anduril, Antares, REGENT and Scout AI. The company does not state revenue or seat counts. TechCrunch reported that Nominal was awarded a $71.2 million contract from the US Air Force in October. The contract figure is a US Air Force award. It is not a company claim.

What the round pays for

Nominal says it will use the money to hire, open new offices, and build out its platform. The company does not break the plan down by product line. TechCrunch reported that Nominal had raised a $155 million Series B extension in March 2026. That earlier round was at a $1 billion valuation. Trae Stephens at Founders Fund led it. Cameron McCord, Nominal's chief executive, is a former US Navy submarine officer and Anduril alum, TechCrunch reported.

What the round signals

A $3 billion price tag on a hardware-engineering software company sets a public reference point for the category. Defense tech buyers now have a well-funded vendor. That vendor sits between test benches and design reviews. Teams building AI features inside that stack have a clear signal. Investors expect industrial hardware engineering to keep paying for software, not the other way around.

Where this fits in the market

Software for hardware test teams was long an in-house build. Each defense contractor and each industrial maker wrote its own data pipeline. Nominal is pitching a shared vendor layer across that work. The company says its platform runs across development, testing, manufacturing and operations. The idea is one data model for every stage. A failed test on a prototype should link to the same part number used in production.

What a buyer should check

The round is not a product review. Nominal states its own customer count and names four of them. It does not state uptime, average time to find a regression, or the fraction of defense contractors that have renewed. A buyer looking at the platform should ask two things. Ask for the test-data volume it allows. Ask for a named customer in the same segment. The platform's value depends on how well it ingests data that is already messy and partial.

Source

• Nominal, Series C
• TechCrunch, AI hardware startup Nominal triples valuation to $3B in 8 months