INDUSTRY AFFILIATIONS
Zuru builds perception AI for maintenance and operations in defense, energy, and space — generating synthetic training data from 3D digital twins across EO, depth, and thermal sensors, deployable in air-gapped and classified environments without a single real-world sensor collection.
Zuru's first paid commercial deployment — automotive remanufacturing — demonstrates the full capability stack at TRL 7: multi-sensor synthetic data generation, model training, and real-world validation. No real-world sensor data collected.
Matthew holds a BA in Sociology from Stanford University and an Executive MBA from INSEAD's Global Executive MBA program.
He led North American business development at two computer vision AI startups — working at the front lines of how perception AI gets sold, deployed, and where it consistently stalls. The bottleneck was never the model. It was always the training data.
Founding Team has more than 25 years of experience in computer vision for industry.
Zuru's core software development is conducted on U.S. soil by our founding engineering team.
Real-world training data is scarce and impossible to collect at scale — especially in defense, energy, and space programs where maintenance and operations demand sensor data that is classified, operationally restricted, or simply unreachable in air-gapped and denied-access environments.
We're building the perception AI infrastructure that makes maintenance and operations autonomous at scale — across defense, energy, and space programs where real-world data cannot be collected.