“ai.Reverie goes further, dispensing with human labellers altogether. It uses techniques developed for video games to create and automatically label scenes that can be used to train image-recognition algorithms. Its approach is particularly useful for exposing software to scenarios that might be hard to find in data gleaned from the real world. It can generate scenes set underwater, or featuring heavy fog or torrential rain. The company’s backers include In-q-Tel, a venture fund for America’s intelligence services.”

Read more: Data Labelling Start Ups Want to Help Improve Corporate AI