Meet Nominal Analyst, the agent for hardware teams. / October 09, 2026 Built on Nominal's Hardware Intelligence Platform, Analyst helps engineers investigate data and get to answers faster. Ambition is timeless. Tools are not. The engineers building the physical world have never lacked ambition. They're building the systems that will fly, launch, orbit, dive, and power the next generation of industry. But the tools used to test and understand those systems haven't kept pace with advances in software. Nominal started Nominal to change that. Nominal has spent years building the infrastructure connecting hardware test data with the engineering context and tools needed to make sense of it. Built alongside customers, this foundation enables agents to move beyond generic assistance and do meaningful work within the engineering environment. Today, Nominal is introducing Analyst, Nominal's first purpose-built AI agent, now available in public preview. Built on this foundation, Analyst brings the power of its platform to a new generation of tools for hardware engineering. Working alongside these teams, Nominal is proud to deliver tools that multiply what they can accomplish, so that the extraordinary software acceleration underway brings the next generation of hardware along with it. Accelerating the whole program. Across design iterations, production acceptance, and monitoring of assets in operation, progress repeatedly depends on what a team can establish through test. Every investigation that takes weeks instead of days delays not just one decision, but the work of everyone waiting on it. Analyst helps engineers find relevant data, build analytical views, search engineering files, and execute computations within Nominal. Instead of manually piecing together the information and tools needed to investigate a problem, engineers can use Analyst to find relevant context, examine evidence, and test hypotheses. They can inspect the results, challenge assumptions, and direct the next steps. The impact extends beyond any single investigation. Bringing a failure to a sound conclusion sooner can release weeks of work for everyone downstream. As those gains compound across successive investigations and design cycles, teams can test more ideas, learn faster, and realize more of their ambition. This is why Nominal is building a Hardware Intelligence Platform: to help engineering teams turn complex hardware data into actionable insight, make better-informed decisions with greater confidence, and move their programs forward faster. Putting Analyst to work. Analyst is designed to help engineers spend less time navigating the complexity of their engineering environment and more time understanding what their systems are telling them. At Wisk Aero, Staff Systems Engineer Cooper Diamond works on battery-system verification. Changes to interface-control documents require updates to report automation and monitoring. Analyst is helping him move through that work faster: Analyst has added a huge improvement to its iteration speed. Cooper Diamond, Wisk Aero Staff Systems Engineer At Mach Industries, Flight Test Engineering Intern Spencer Sharpe used Analyst to navigate unfamiliar flight data: As a new employee, Analyst made it very easy to navigate the large dataset and understand which variables were most useful for analyzing certain situations and root causing issues. Spencer Sharpe Flight Test Engineering Intern, Mach Industries These are early examples of what's possible when agents operate within an environment specifically built for engineering work. The goal isn't simply to generate an answer, but to help engineers navigate complex data, bring relevant context together, and move their investigations forward. Learning across every system. Today, Analyst helps engineers work through analytical tasks. Over time, Nominal see the opportunity to connect those investigations into a much larger source of organizational knowledge. An investigation into a hardware failure can draw on everything an organization has learned from building, testing, and operating its systems. An anomaly on one aircraft could be examined against configurations, production history, and operating conditions across thousands of others. As engineering environments become more connected, insights from one investigation can inform the next. A finding can improve a design, inform a production acceptance check, or help identify aircraft in operation that warrant attention. Subsequent tests and field data can help establish whether the change worked. What an organization learns from one system can inform decisions across every system where that knowledge applies. Nominal want that capacity to grow with each organization Nominal serve. More hardware in operation gives engineers more evidence to learn from, more investigations leave more useful methods behind, and a team preparing its next generation of systems can draw on the experience of everything it has already built. This is the promise of a Hardware Intelligence Platform: connecting data, context, and analytical tools so engineering teams can build on what they learn over time. The next revolution. Engineering organizations will ultimately be able to develop, test, and deploy an order of magnitude more hardware, an order of magnitude faster. Realizing that ambition requires more than general-purpose AI. It requires agents that can investigate anomalies across enormous volumes of test data and connect measurements to the contextual documents, diagrams, software, and decisions that explain a system. It requires an underlying architecture that gives agents access to the data and tools they need to do meaningful work. And it requires an open platform, so customers can bring their own agents, specialized models, and hard-earned methods into the same engineering environment. Nominal has been building toward this future for four years. Analyst brings that foundation to life in a new way, and Nominal'll keep learning alongside its customers and expanding what's possible. The people building these systems have always been willing to take on extraordinary challenges. Its responsibility is to give them tools that match the scale of their ambition. The years they recover help bring their technology into the world faster and make each further iteration more possible. Nominal see the next industrial revolution taking shape in its customers' daily progress, and Nominal feel fortunate to be part of it. With Analyst's public preview, Nominal is opening the next chapter of that effort. Nominal look forward to seeing what engineering teams accomplish with Analyst, and to making it better every day.

Shawn Scully and Igor Stanko join Nominal to lead Hardware Intelligence and data platform. / October 06, 2026 Meet Shawn and Igor, the newest leaders to join Nominal's senior leadership team, bringing a track record of building frontier technologies for organizations that can't afford to get it wrong. This week, Nominal is excited to welcome two new leaders to the team: Shawn Scully and Igor Stanko. Scully has spent his career creating first-of-their-kind products where AI and data meet the physical world. At Apple, he was a founding leader in the Machine Intelligence group, leading efforts across Apple Watch, Health, Accessibility, Home, and new hardware. His team built end to end, from multimodal sensor collection and annotation to model training, extreme edge inference, and live evals, taking features including Double Tap, AssistiveTouch, and Handwashing Detection to more than 100 million people. Before Apple, he led product and go-to-market at Turi, an early ML platform for developers, growing it from zero to more than 100 enterprise customers through its acquisition by Apple. He started as a physicist in hard-tech energy startups, where his days looked a lot like its customers': new materials and devices, measurement and simulation, test rigs and manufacturing hardware, and a world-record solar module. He holds a PhD from Stanford and more than 20 patents. Few people have taken new technology from the lab to the factory floor and from prototype to millions. He'll lead its AI strategy and the team building intelligence across Nominal's platform. Nominal has learned that to be useful, agents need the right context, a rich action space, and a way to verify their work. Nominal has been laying the foundation for all three. Now Nominal get to bring them to hardware, changing how the world engineers and unlocking AI for the physical world. Shawn Scully GM of Hardware Intelligence Stanko has spent his career building products that become inseparable from how the world's most demanding customers operate. At Microsoft, he grew the company's cloud data-analytics business into a $400M+ line, used by some of the largest enterprises to turn oceans of raw data into something people could actually query and act on, the same fundamental problem hardware teams face today. He kept chasing that problem at Firebolt, shipping next-generation cloud data products, and most recently at Cockroach Labs, where his products powered the real-time payments and core banking systems that Fortune 50 banks depend on, places where a single second of downtime is unacceptable. Earning that level of trust takes real discipline and relentless focus. Those are the same values Nominal hold at Nominal, and Nominal is excited to see that obsession and devotion now pointed at hardware engineers. He'll scale its product function as the company grows. I've spent my career making sure engineers can trust the products they're using. In high-stakes environments, that trust is what lets them move as fast as their mission demands. The stakes are higher than ever for engineers building hardware, and they keep climbing. The Nominal team is building exactly what engineers need to meet the moment. Igor Stanko VP of Product Nominal is excited to have Shawn and Igor on board. There's more to come on what they're building, and in the meantime, check out open roles at Nominal

Nominal partners with AeroVironment to power accelerated test and production data for mission-critical hardware at scale. Collaboration underscores how Nominal's data infrastructure helps hardware manufacturers meet the demands of rapid industrialization. September 14, 2026 11:00 ET | Source: Nominal, Inc. LOS ANGELES, Sept. 14, 2026 (GLOBE NEWSWIRE) - Nominal, the test and operations data platform for engineering teams building complex hardware, today announced a strategic collaboration with AeroVironment (NASDAQ: AVAV), a global leader in intelligent, multi-domain robotic systems. AeroVironment has spent more than five decades building autonomous systems that have to work the first time, every time, in the field. As the company expands production of its uncrewed aircraft, loitering munitions, and counter-UAS systems across multiple programs and facilities, its engineering and manufacturing teams have adopted Nominal to bring test data capture, cross-team review, and traceability into one system, connecting engineering test through end-of-line manufacturing checks. "When you're scaling production of systems that can't afford to fail, the data intelligence has to keep up with the hardware," said Cameron McCord, CEO and co-founder of Nominal. "AeroVironment is a proof point for what's possible when a company moving fast on volume also moves fast on rigor. That combination - speed and resilience - is exactly the moment hardware manufacturers across every industry are facing right now, and it's the problem Nominal was built to solve." "As we scale production across multiple programs and facilities, we need infrastructure that keeps pace without slowing our engineers down," said Scott Bowman, Chief Technology Officer, AeroVironment. "Nominal is giving our teams a shared, connected way to capture, review, and trust test and production data as volume increases and expectations are higher than ever." While this collaboration is rooted in defense manufacturing, Nominal is built for any team facing the same shift: building more hardware, faster, without losing the rigor that keeps it safe. That means real-time capture of instrument and test data at the edge, browser-based storage and analysis, and a shared record that carries forward from early R&D through full production scale. That combination is increasingly relevant across aerospace, automotive, robotics, energy, and any other industry now facing their own version of the same question AeroVironment is answering: what does it take to industrialize quickly without sacrificing quality or traceability? About Nominal Nominal is the AI-ready engineering data platform that helps aerospace, energy, defense, automotive, and other industrial hardware teams ship breakthrough products faster. Thousands of engineers use Nominal's platform to confidently operate complex physical systems, while accelerating and automating verification loops from prototype to fleet sustainment. For more information, visit nominal.io. About AeroVironment AeroVironment ("AV") (NASDAQ: AVAV) is a defense technology leader delivering integrated capabilities across air, land, sea, space, and cyber. The Company develops and deploys autonomous systems, loitering munitions, counter-UAS technologies, space-based platforms, directed energy systems, and cyber and electronic warfare capabilities - built to meet the mission needs of today's warfighter and tomorrow's conflicts. At the core of these technologies lies AV_Halo(TM), a modular, mission-ready suite of AI-powered software tools that empowers warfighters and enables full-battlefield dominance: detect, decide, deliver. With a national manufacturing footprint and a deep innovation pipeline, AV delivers proven systems and future-defining capabilities at speed, scale, and operational relevance. For more information, visit www.avinc.com. Media Contact [email protected]