Nominal's $240M Series C Triples Valuation to $3B as AI Hardware Testing Demand Surges

Nominal Secures $240M Series C Funding at $3B Valuation

Nominal, an Austin-based AI hardware testing startup, announced on Monday it raised $240 million in Series C funding led by Lightspeed Venture Partners and co-led by Insight Partners1

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. The round triples valuation to $3B in just eight months, up from $1 billion achieved in March following an $80 million Series B extension2

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. Additional investors include Lux Capital, Sequoia, General Catalyst, Founders Fund, Avenir, Salesforce Ventures, M13, Lockheed Martin Ventures, Red Glass Ventures, PSP Growth and Deployment Capital2

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The four-year-old hardware-testing and engineering startup told Bloomberg that its revenue has more than tripled so far this year, driven by a boom in defense technology spending2

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. This remarkable valuation growth reflects surging demand for AI-powered hardware-testing solutions across aerospace, defense, and manufacturing sectors.

AI Platform for Engineering Complex Systems

Nominal offers an AI platform for engineering purpose-built for testing complex systems including aircraft, nuclear reactors, satellites, rocket engines, autonomous vehicles, drones, smart factories, and energy systems1

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. The platform addresses a critical challenge: engineers must piece together data from disconnected testing systems to understand how machines perform under realistic conditions3

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Hardware tests generate streams of sensor readings, logs, video and simulation results that require unified analysis. The engineering software brings together test data and the engineering context behind it, such as configurations and earlier experiments2

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. Nominal Analyst, the company's first AI agent, runs analyses on that data and traces answers back to underlying evidence2

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"Hardware engineering is getting its AI moment, with real operational value that goes far beyond making existing workflows faster," said Cameron McCord, Nominal's co-founder and CEO2

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. "The companies building the world's most advanced machines have decades of hard-won knowledge in their organizations."

Defense Contractors Drive Customer Growth

More than 80 commercial and government organizations use Nominal, including five of the seven largest defense contractors2

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. Key customers demonstrate significant operational improvements. At Anduril, more than 300 engineers use the platform, with analysis that previously took five to six hours now happening in near real time2

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. Huntington Ingalls Industries cut some analysis tasks from hours to minutes and reduced some production test steps by approximately half2

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Hypersonic aircraft maker Hermeus cut the time between uploading data and reviewing it by 80 percent, enabling it to design and build its Quarterhorse Mk 1 aircraft in seven months2

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. The U.S. Air Force recently selected Nominal for a $71.2 million STRATFI grant supporting capability development for Collaborative Combat Aircraft, uncrewed jets designed to fly alongside piloted fighters1

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Expansion Plans Target Agents and New Industries

Nominal will deploy the new capital on agents and applications across a machine's entire lifecycle, from requirements checks and planning to scheduling and fleet health2

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. The company plans to expand into new industries and regions, including through acquisitions. This year it acquired Fid Labs, whose team is building its agents, and Pull Systems, which extends the platform into the automotive industry2

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"Over the next five years, companies that effectively bring AI into their engineering workflows will have a real competitive advantage," McCord said2

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. The company maintains headquarters in Austin with offices in Los Angeles, New York, Seattle, Washington, D.C. and London2

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. McCord, a former U.S. Navy submarine officer and Anduril alum, founded Nominal in 20221

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