Carnegie Mellon University grad with experience at Google Brain and Amazon Robotics.
By its very nature, synthetic datasets come perfectly labeled. We also use new ML-techniques like domain randomization to improve model performance.
Data privacy laws are becoming more rigorous and restrictive. By using synthetic data, you no longer need to make the choice between utility and privacy when it comes to data.
We specialize in people problems: crowds and individuals. People come in all shapes and sizes. Your datasets should and can equally represent all ethnicities, races and genders.