Hardware testing startup Nominal reached a $1B valuation after raising $155M in just 10 months, preemptively led by Founders Fund. By compressing hardware test-to-decision cycles from days to minutes, the company proves that applying software DevOps principles to physical systems is highly lucrative. Founders must recognize the massive shift away from legacy testing silos and the exploding venture interest in dual-use defense technologies.
The Bottleneck of Physical Systems
For decades, hardware development has been fundamentally constrained by the speed of physical testing. While software engineering underwent a revolution with DevOps, CI/CD pipelines, and real-time observability, hardware engineers building drones, satellites, and energy systems remained stuck with siloed tools and manual workflows. Spreadsheets, custom Python scripts, and legacy systems from the 1980s and 1990s have dictated the pace of innovation.
Nominal, founded in 2022 by former engineers from Anduril, Lockheed Martin, and Palantir, recognized this massive inefficiency. By treating hardware telemetry and testing data with the same urgency and integration as software observability, they have effectively removed the primary choke-point in physical engineering. This approach has yielded staggering business results: a 10x year-over-year revenue growth, a 6x increase in their customer base, and a preemptive funding round leading to a $155M capital injection in just 10 months, crowning them with a $1B valuation. For founders, the core lesson is clear: solving unsexy, deeply technical bottlenecks in massive industries commands premium valuations.
Dismantling Legacy Silos
The competitive landscape of hardware testing has long been dominated by fragmented, incumbent tools. Engineers have traditionally used LabVIEW for edge test automation, and a disjointed combination of MATLAB, Foxglove, and Grafana for telemetry and analysis. Nominal’s strategic genius lies in replacing this fragmented ecosystem with a unified, real-time test stack.
Their product suite—comprising Nominal Core for cloud-based telemetry analysis and Nominal Connect for edge environments—allows hardware companies to continuously validate physical systems. By integrating AI for anomaly detection and automating telemetry management, Nominal cuts the test-to-decision time from days to mere minutes. Hardware founders must audit their own development pipelines. If your engineering team is losing days to manual data alignment and legacy software, you are structurally disadvantaged against competitors using modern, unified stacks.
The Dual-Use Defense Tech Boom
Nominal’s rapid ascent is inextricably linked to the broader macroeconomic and geopolitical trends fueling the defense tech boom. With major customers like Anduril Industries, Shield AI, and the U.S. Air Force, Nominal is riding the wave of global reindustrialization and rising defense budgets.
However, their total addressable market (TAM) extends far beyond defense. The company describes its market as “effectively infinite” because the underlying technology is inherently dual-use. Aerospace, energy, robotics, and advanced manufacturing all require continuous real-time validation of physical systems. Top-tier venture capital firms, including Founders Fund, Sequoia Capital, and Lux Capital, are aggressively backing startups that can serve high-stakes government defense programs while simultaneously scaling into commercial heavy industries. Founders building in the physical world should strongly consider how their technology can be positioned as dual-use to attract similar venture interest.
Actionable Takeaways for Founders
1. Adopt a Software Mindset for Hardware: If you are building physical products, you must implement continuous testing and feedback loops. The goal should be to iterate on hardware every 10 weeks, not every 10 years. Adopt unified testing platforms early to avoid scaling bottlenecks.
2. Target the Defense Adjacency: Venture capital is heavily skewed toward defense and reindustrialization. Even if you are building commercial robotics or energy systems, demonstrating utility for defense or public sector applications can instantly validate your technology and accelerate funding timelines. Nominal’s preemptive rounds were driven by undeniable traction in these high-stakes environments.
3. Capital Efficiency Through Automation: Nominal managed to scale its deployments across dozens of operational environments—from hypersonic materials testing to drone sorties—without linearly scaling headcount. By leveraging AI to surface anomalies and automate data alignment, they achieved a high valuation-to-raised ratio. Founders must prioritize building automated infrastructure that allows engineering output to scale exponentially relative to team size.
4. Exploit the Incumbent Weakness: Look for industries reliant on software built in the early 2000s. The replacement of tools like LabVIEW and legacy MATLAB workflows by modern, cloud-native alternatives is a proven playbook. Identify where your target customers are using outdated, siloed tools and build the unified platform that connects their entire workflow.