Nominal is a venture-backed company with offices in Los Angeles, Austin, and New York City that specializes in software and data management products for organizations that test and validate complex physical systems (like drones, planes, rockets, engines, satellites, nuclear reactors, etc.). We are backed by prolific and experienced venture capital firms like Founders Fund, Lux Capital, XYZ, Haystack, Human Capital, BoxGroup, etc., and have raised significant venture funding with strong early traction in both commercial aerospace as well as defense applications with the Department of Defense (DoD).

The Nominal team comes from commercial companies like SpaceX, Palantir, Anduril, Lockheed Martin, and NASA and is active amongst customers in aerospace, defense, industrial, and advanced energy applications (autonomous aviation, eVTOL/VTOL, flight testing, satellite development, etc.). We are also building and delivering solutions to the United States Air Force (USAF) and are looking to expand use cases across the broader DoD test community.

Our product is a data visualization and computation platform designed to accelerate how engineering teams test and validate hardware systems. We specifically aim to shorten the data review process after running tests and help engineering organizations scale testing campaigns more efficiently and effectively to save time and lower costs. It works by combining heterogeneous data into runs and allowing users to easily build custom visualization and analysis. Users write test logic with interactive computation, and these checks can be applied to historical and future runs to compound learnings. Data sources include telemetry, sensor data, logs, simulations, and other testing metadata like environment, vehicle, part, version, etc.

$115,000 - $130,000 a year