
Defect detection for manufacturing built from CAD and synthetic data.
Manufacturers lose billions every year because quality inspection systems are difficult to deploy, hard to scale across factories, and too dependent on manual labor. Most vision systems require months of labeling, tuning, and retraining before they become production-ready.
Bucket Robotics solves this by turning CAD files and sample footage into deployable inspection systems — without requiring massive labeled datasets.
Our platform uses synthetic data generation, simulation, and edge deployment tooling to create custom computer vision systems for manufacturing environments, including defect detection, object classification, segmentation, and robotic guidance. Customers can deploy vision models in days instead of months.
We’re building the trust layer for industrial quality: inspection systems that are replicable across facilities, adaptable to changing production environments, and usable by operators on the factory floor from day one.
Our team comes from Michelin, Uber ATG, Argo AI, and Stack AV, where we built and operated large-scale autonomy systems in the real world. Today, Bucket Robotics is working with enterprise manufacturers across automotive and industrial production.