Bucket Robotics
Bucket Robotics is a software platform for automated quality inspection using computer vision in robotic cells and industrial environments.
Instead of starting with weeks of image collection and labeling, Bucket generates vision models directly from CAD. Using synthetic data, we create inspection-ready detectors before parts reach production, eliminating cold-start delays and reducing commissioning time from weeks to days.
Bucket is purpose-built for challenging manufacturing problems: high-mix parts, reflective plastics and metals, and subtle surface defects like scratches, dents, and cosmetic flaws that are difficult to capture with rule-based systems. By simulating real lighting, part variation, and defect appearance, Bucket delivers consistent inspection performance without disrupting live lines.
Our models run at the edge and integrate easily into robotic work cells and standalone inspection stations. This makes Bucket a strong fit for automation projects where flexibility, fast deployment, and reliability matter—especially as parts, tools, and processes change over time.
Bucket Robotics is used by manufacturers and system integrators to reduce manual inspection, increase throughput, and bring automated quality inspection online faster across new and existing production lines.
Key capabilities at a glance:
CAD-first vision: Inspection models are generated directly from CAD (STEP), so systems can be deployed before physical parts or production ramp.
Reliable inspection in hours, not weeks: Using synthetic data, Bucket delivers inspection-ready models quickly—eliminating the need for long image collection and manual labeling (“cold-start” delays).
No labeling required: Synthetic data replaces hundreds of hours of real-world image capture and annotation.
Customizable to your quality standards: Inspection criteria, defect types, and acceptance thresholds are tailored to each part, process, and customer specification—not fixed rules.
Built for complex surfaces: Designed for glossy plastics, textured parts, and subtle cosmetic defects (scratches, dents, sink marks) that often confuse rule-based systems.
