Nominal Raises $240M Series C at $3B Valuation to Bring AI into Hardware Engineering

Nominal has raised $240 million in Series C funding at a $3 billion valuation to expand its AI-powered hardware engineering platform. The round was led by Lightspeed Venture Partners, with Insight Partners co-leading, as the Austin-based startup scales its technology across defence, automotive, robotics and energy industries.

The latest valuation represents a threefold increase from the $1 billion valuation reported in March 2026, just eight months earlier. The investment reflects growing investor interest in applying artificial intelligence beyond conventional software and into the engineering processes used to design, test and operate physical systems.

The round also included Lux Capital, Sequoia, General Catalyst, Founders Fund, Avenir, Salesforce Ventures, M13, Lockheed Martin Ventures, Red Glass Ventures, PSP Growth and Deployment Capital.

What does Nominal do?

Nominal develops an AI-powered platform that helps engineering teams collect, organise, analyse and interpret hardware data.

Companies building aircraft, satellites, autonomous systems, robots and energy infrastructure generate large amounts of engineering data. However, that information is often spread across legacy systems, disconnected software tools and individual teams' knowledge.

Nominal aims to bring this information together with the engineering context needed to understand it. Engineers can investigate problems, analyse test results and make decisions through a shared platform rather than manually connecting information across multiple systems.

Its first AI agent, Nominal Analyst, can investigate engineering data and perform complex analyses. The company says its answers are traceable to the underlying evidence, allowing engineers to examine how an analysis was produced rather than relying on unsupported AI-generated conclusions.

The platform supports cloud deployments, customer-owned servers, air-gapped environments without internet connectivity and edge deployments. Developers can also connect existing tools through SQL, APIs and the Model Context Protocol (MCP).

From a $1B valuation to $3B in eight months

Founded in 2022, Nominal was established by Cameron McCord, Bryce Strauss and Jason Hoch. The founders have backgrounds spanning the US Navy, defence and enterprise software.

McCord, the company's CEO, previously served as a US Navy submarine officer and worked at defence technology company Anduril.

The company has raised substantial capital as it expands its platform. In March 2026, Nominal secured an $80 million funding round at a reported $1 billion valuation, led by Founders Fund. That followed a $75 million Series B led by Sequoia.

The new $240 million Series C values Nominal at $3 billion. This represents a significant increase in valuation over a relatively short period, although the company has not disclosed its revenue, headcount or total funding raised.

The valuation increase signals strong investor confidence in Nominal's opportunity. However, valuation alone does not establish profitability, revenue growth or the long-term commercial performance of its platform.

How engineering teams are using Nominal

Nominal's traction is particularly notable among organisations developing complex hardware.

According to the company and the examples cited in the funding announcement:

• Anduril: More than 300 engineers use the platform. Analysis that previously took five to six hours can now run in near real time.

• HII: The defence shipbuilding company has reduced certain analysis tasks from hours to minutes.

• Hermeus: The aerospace company reduced the time between uploading data and reviewing it by 80% while developing its Quarterhorse Mk 1 aircraft.

Nominal reports that more than 80 commercial and government organisations use its platform, including five of the seven largest defence contractors.

The company has also secured a significant government-related opportunity. In October 2026, the US Air Force selected Nominal for a $71.2 million Strategic Funding Increase supporting Collaborative Combat Aircraft work.

The award is an important milestone, but it should be distinguished from venture funding and recognised revenue. The announcement does not establish that the full contract amount has already been received or recognised as revenue.

Why AI in hardware engineering is attracting investment

Much of the early AI investment market focused on software development, productivity tools and enterprise automation. Nominal is targeting a different opportunity: applying AI to the engineering processes behind physical products.

Hardware development involves requirements, testing, simulations, manufacturing, validation and ongoing operational monitoring. These processes generate data that must be interpreted accurately, particularly when failures can affect safety, reliability and mission performance.

Nominal's approach could provide several advantages:

1. Faster engineering analysis

Automating repetitive data investigation could reduce the time engineers spend searching through disconnected systems and analysing test results.

2. Better use of existing engineering knowledge

Engineering organisations accumulate years of test data, operational records and technical documentation. Connecting these sources could make that knowledge easier to retrieve and apply.

3. AI with traceable evidence

In high-stakes engineering, an answer without supporting evidence is difficult to trust. Nominal's emphasis on traceability is relevant because engineers need to inspect the data behind an AI-generated conclusion.

4. Deployment in restricted environments

Support for air-gapped and customer-controlled infrastructure is important for organisations with strict security requirements, including defence contractors and government agencies.

5. Applications beyond defence

Expansion into automotive, robotics and energy could increase the platform's addressable market. These industries also depend on complex hardware testing, validation and operational data.

These are potential benefits of the platform's approach. Their commercial significance will depend on how consistently customers achieve measurable improvements across different engineering environments.

Acquisitions and the next phase of expansion

Nominal plans to use the new funding to deepen its engineering products, develop additional AI agents and expand into new industries and regions.

Its longer-term product vision covers multiple stages of a machine's lifecycle, including requirements verification, planning, scheduling and fleet health monitoring.

The company has also made acquisitions to strengthen its capabilities. It acquired Fid Labs, whose team develops its AI agents, and Pull Systems, which extends its platform into the automotive sector.

These acquisitions suggest that Nominal is pursuing a broader engineering intelligence platform rather than focusing only on analysing test data.

What the $240M funding means for Nominal

Nominal's $240 million Series C gives the company additional resources to develop its AI agents, expand its product capabilities and enter more industrial markets.

Its reported adoption across defence contractors and other engineering organisations gives it a starting point in a market where reliability, security and technical context are essential.

However, the next challenge is to demonstrate that its platform can deliver consistent value beyond its early customer base. Expanding into automotive, robotics and energy will require adapting the technology to different engineering workflows, infrastructure and customer requirements.

Nominal's $240 million funding round highlights a growing opportunity for AI in hardware engineering. With a $3 billion valuation and more than 80 reported commercial and government customers, the company is positioning itself to become an important platform for organisations building the next generation of physical systems.