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Nominal Secures $240 Million in Series C, Valuing It at $3 Billion

Nominal says its platform serves more than 80 business and government users, including five defense contractors among the seven largest.

Updated 2 min read
A technician checks a sensor-equipped engineering component at a Los Angeles laboratory (AI-generated image / EconoTimes)
A technician checks a sensor-equipped engineering component at a Los Angeles laboratory (AI-generated image / EconoTimes)

Nominal plans to use its $240 million Series C to develop AI products and expand, while the financing values the engineering software company at $3 billion. Nominal announced the round Nov. 9.

The new valuation is three times the $1 billion figure the company disclosed in March, when it announced another $80 million in financing. The current raise is also triple that earlier amount, based on the company's announcements.

Lightspeed Venture Partners led the financing, and Insight Partners shared the lead role, Nominal said. The company also named M13, Salesforce Ventures, Lockheed Martin Ventures, Avenir, Founders Fund, General Catalyst, Sequoia and Lux Capital among the investors.

Nominal says its platform connects hardware data with engineering context. Its Nominal Analyst AI agent reviews engineering data and grounds its answers in evidence. The company says the platform serves more than 80 organizations across business and government, including five among the seven largest defense contractors.

Nominal describes a problem of technical information spread across older tools, while expertise remains with individual engineers. Its products are intended to help teams work with that information across a machine's life cycle.

Nominal plans to develop agents and applications for engineers and engineering enterprises, while pursuing expansion into additional industries and regions and strategic acquisitions. The company's 2026 deals included Fid Labs, whose team is developing Nominal's agents, and Pull Systems, which extends the platform into automotive.

Co-founder and CEO Cameron McCord said the goal is to support engineers while leaving them in control. “Engineers stay in command, with purpose-built AI helping them do their best work.”

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