Defect detection for manufacturing built from CAD and synthetic data.
Founders
Hiring Pitch
About Bucket Robotics
At Bucket Robotics, we’re on a mission to revolutionize quality control in manufacturing. Today, over $10 billion worth of manufactured parts are scrapped due to defects, and traditional inspection methods are slow, expensive, and unreliable. We’re changing that by deploying AI-powered vision systems that detect defects faster, more accurately, and with minimal setup.
Our unique approach uses synthetic data generated from CAD models, allowing us to deploy defect detection models 50x faster than competitors—no need for thousands of real-world images.
We’re a team of engineers and innovators with backgrounds from Michelin, Uber ATG, Argo AI, and Stack AV, applying our robotics expertise to solve real-world manufacturing challenges. We’ve already secured enterprise customers in automotive and plastics, and we’re just getting started.
If you're excited about AI, robotics, and making a tangible impact on manufacturing, we'd love to hear from you!
Tech Stack
Tech at Bucket Robotics
At Bucket Robotics, we’re building AI-powered vision systems that solve real manufacturing problems—fast. Our stack is designed for rapid iteration, photorealistic synthetic data generation, and easy deployment to factory floors.
We work across the full stack of industrial AI:
AI & Vision
Custom computer vision models trained entirely on synthetic data generated from CAD—no real-world defects required.
Synthetic Data Generation
Blender-powered rendering pipelines with industrial materials, realistic lighting, and defect modeling, all configurable from the browser.
Edge Deployment
Models exported to ONNX and deployed on NVIDIA Jetson and x86 platforms for real-time inference on the line.
Manufacturing Integration
Outputs connect directly to manufacturing systems—ERP (SAP, Oracle, etc.), MES, and quality tracking—ensuring that inspection insights feed into production workflows.
Developer Experience
We build with Python, TypeScript, and WebGL (Three.js), using a modern stack (React 19, TailwindCSS, Vite, Flask) to maximize speed, usability, and flexibility.
We're solving the cold-start problem in machine vision with an engineer-friendly platform built for real production environments. If you care about closing the loop between CAD, QA, and deployment—let’s talk.
Open Positions at Bucket Robotics (2 Jobs)
2 open · 2 filled
