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Bucket Robotics

Defect detection for manufacturing built from CAD and synthetic data.

Bucket Robotics builds deployable computer vision systems for manufacturing — without labeling, long pilots, or fragile rules. We turn CAD and sample data into production-ready vision models that run on existing cameras and edge hardware. No manual labeling. No cold-start problem. Models deploy in minutes and adapt as parts, defects, and lines change. Our roots are in self-driving cars (Argo AI, Uber ATG, Stack AV), where we learned how to ship perception systems that operators trust in messy, real-world environments. We’re applying that playbook to factories: robust sensing, fast iteration, and tooling engineers actually enjoy using. Manufacturers struggle with inspection because parts are too variable for rules-based vision and too expensive to inspect by hand. Legacy systems are rigid, hardware-locked, and slow to customize. We take the opposite approach: software-first vision that fits into existing automation and scales across SKUs, facilities, and workflows. American Manufacturing is in the middle of a $700B automation push — but quality is still a trust problem. Bucket Robotics is building the vision infrastructure that lets factories automate inspection with confidence.
Active Founders
Matt Puchalski
Matt Puchalski
Founder/CEO
Matt is the founder and CEO of Bucket Robotics. Before co-founding Bucket Robotics, Matt distinguished himself in the autonomous vehicle industry through pivotal roles at Stack AV, Latitude AI, and Argo AI. His work at these companies brought the deployment of autonomous vehicles to public roads across the United States and Germany. With deep expertise in integrating and operationalizing AVs, Matt brings a unique vision to revolutionize the robotics industry.
Company Launches
Bucket Robotics 🤖 Vision for Manufacturing
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TL;DR

Bucket Robotics makes defect detection models way faster and easier to deploy. CAD goes in — detection model comes out.

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👥 The Team

Hi everyone, we’re Matt and Steph, and we’re Bucket Robotics!

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📉 The Problem

Defects are a universal challenge in manufacturing, particularly with methods like injection molding, die casting, and 3D printing. Factories using these methods frequently retool their lines for different products making it difficult and costly to gather enough data to train defect detection models.

Manufacturers strive to ensure that only the highest quality products reach their customers. Avoiding the shipment of defective products not only protects their reputation but also safeguards expensive machinery from damage, maximizes yield by leveraging advanced analytics, and prevents the progression of faulty parts through the production line, which can lead to compounded waste and increased costs.

A 2017 study estimates that yield losses account for 44% of sheet metal used in the production of passenger vehicles — and we want to bring that number down, saving money and the environment.

Traditionally, defect detection comes in two flavors:

  1. Pay a person to watch your line.
  2. Train a vision model the old-fashioned way — wait for defective parts to come out and add your sample to the dataset.

Paying people to check parts is inefficient and a miserable job. Collecting enough labeled data samples to train a model is impractical for rapidly retooled outputs, and the labeling is expensive. This often leaves manufacturers with a critical gap in quality assurance, leading to increased scrap, downtime, and potentially unhappy customers with defective parts.

📈 The Solution

We help eliminate the need for inefficient human monitoring and outdated defect detection by providing a system where we generate defect detection models using CAD files—something every part designed for modern manufacturing has. Our models can run on an edge computing device as small as a Jetson Orin Nano and be continually refined with real-world data.

Here’s why this is a game-changer:

  • Early Deployment: Your defect detector can arrive at your manufacturing line before you’ve manufactured any parts. This means you can catch defects right from the get-go.
  • Continuous Improvement: As defects start to appear, we can automatically refine and improve the model, ensuring your system remains top-notch.
  • Classification: The system tells you how the part is defective, allowing you to dial in your tooling configuration and maintenance cycle—e.g. when it's time to create a new mold.

Check out a video on our process here: Bucket Robotics | Defect Detection

🙏How You Can Help

We are seeking connections and collaborations to drive our mission forward. If you or anyone in your network is interested in learning more or helping out, we want to hear from you! We’re specifically looking to connect with:

  • Quality Assurance and Factory Automation leaders
  • Companies and brands in high-volume and precision manufacturing
  • Experts in the manufacturing and defect detection industries

If that’s you or someone you know, please get in touch!

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Hear from the founders

What is your long-term vision? If you truly succeed, what will be different about the world?

If we succeed, quality inspection stops being a human bottleneck. Manufacturing quality becomes software—deployed from CAD, scaled instantly across factories, and verified automatically. The world builds complex physical products faster, with less waste, and with machine-verifiable trust.

Jobs at Bucket Robotics
San Francisco, CA, US
$120K - $160K
0.50% - 1.50%
3+ years
Bucket Robotics
Founded:2024
Batch:Summer 2024
Team Size:4
Status:
Active
Primary Partner:Diana Hu