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SBX Robotics

Synthetic data for better vision.

SBX Robotics generates synthetic data that teaches robots to see. We use simulation software to create training data 10x faster and cheaper than annotation services or in-house teams. Instead of being blocked on data, our clients send 25 images from their robot’s camera, and receive 25,000 perfectly labeled synthetic training images. SBX data is ready to be used by deep learning computer vision models.

SBX Robotics
Founded:2020
Team Size:5
Location:Toronto, Canada

Active Founders

Ian Dewancker

Led applied research projects at Uber ATG, Kindred AI, and SigOpt focusing on computer vision, robotics, and optimization for machine learning. MSc in CS from UBC (2013), Engineering at Waterloo (2011).

Ian Dewancker
Ian Dewancker
SBX Robotics

Joshua Kuntz

- Canadian - Waterloo - Wish - SBX Robotics (current)

Joshua Kuntz
Joshua Kuntz
SBX Robotics