Nominal, a startup building an AI platform for testing and engineering complex hardware, has raised $240 million in a Series C round at a $3 billion valuation. Lightspeed Venture Partners led the round, with Insight Partners co-leading, the company announced on November 9, 2026. The round triples Nominal's valuation from the $1 billion mark it hit just eight months earlier, in March 2026.
Founders Fund, Sequoia, General Catalyst, Lux Capital, Avenir, Salesforce Ventures, M13 and Lockheed Martin Ventures also took part, according to Nominal's announcement. The company has now raised more than $395 million since launching.
What does Nominal actually build?
Nominal sells software that connects raw hardware test data — sensor readings, telemetry, flight logs — to the engineering context that explains why a part behaved the way it did. Teams building aircraft, satellites, nuclear reactors, robots and factory equipment generate enormous volumes of test data, but it is often scattered across spreadsheets, lab notebooks and siloed internal tools.
Nominal's platform centralizes that data and layers AI tools on top so engineers can search across test runs, flag anomalies and compare results without digging manually through files. The company says more than 80 commercial and government organizations now use the platform, including defense contractor Anduril. In October 2026, Nominal was awarded a $71.2 million Air Force Strategic Funding Increase contract, a government program that matches private capital with military R&D funding for companies with existing commercial traction.
Nominal was founded by CEO Cameron McCord, a former U.S. Navy submarine officer and Anduril alumnus, alongside a team with backgrounds in defense and aerospace engineering.
How will Nominal spend the money?
Nominal has not detailed a line-item budget, but companies at this stage typically use fresh capital to expand engineering headcount, build out AI features such as automated anomaly detection, and grow sales teams targeting new verticals beyond its current base in aerospace and defense. The company has publicly signaled ambitions to expand further into energy, robotics and advanced manufacturing, sectors where hardware testing is similarly data-heavy and fragmented.
Who backed this round, and what came before it?
Nominal's Series C followed a $155 million Series B extension in March 2026 that valued the company at $1 billion, led by Founders Fund partner Trae Stephens. The jump to a $3 billion valuation in roughly eight months reflects investor appetite for software that sits underneath the physical AI and defense-tech buildout, rather than competing directly in hardware. Lockheed Martin Ventures' participation is notable: it signals a potential pathway to deeper integration with one of the largest U.S. defense contractors, alongside existing customer Anduril.
How does Nominal compare to its competitors?
Nominal competes with a mix of legacy test-data tools and newer AI-native rivals. Established players include National Instruments' test software suite and internal tooling built by large aerospace primes. Newer entrants such as Hadrian and Anduril's own internal software reflect the same bet: that defense and aerospace manufacturing is underserved by modern software, leaving an opening for AI-first platforms. Nominal's pitch is that it is hardware-agnostic, serving any company that tests physical products rather than building its own hardware.
What happens next?
With $395 million raised and a $3 billion valuation, Nominal faces pressure to show the AI layer on top of its data platform translates into measurable engineering time savings, not just data storage. Its customer base and the Air Force contract suggest near-term growth will stay concentrated in defense and aerospace, with any expansion into robotics or energy testing serving as the next proof point for investors betting on broader adoption.