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