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.
Former 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).
Artem Avdacev
Building something new in the intersection of computer vision, robotics, and computer graphics (games & VFX) Before SBX, I spent 7 years at Yelp fighting fraud and fake reviews as an engineer & PM, and then took off to sail across the pacific ocean, dive with sharks, and hike the himalayas. Based in Montreal, Canada.
Joshua Kuntz
- Canadian - Waterloo - Wish - SBX Robotics (current)
