Looking at this from the outside, the "big ideas" here have nothing to do with recent advances in deep learning, but rather with implementing and offering stand

Looking at this from the outside, the "big ideas" here have nothing to do with recent advances in deep learning, but rather with implementing and offering standardized software systems and processes that enable companies which have limited AI expertise: * to speed up manual labeling "by as much as 50%"; * to reduce model deployment time "by up to 67%"; * to scale to thousands of models without fuss; * to improve accuracy via automated data generation and "smart" labeling; * to track and manage data assets, training, and deployment globally; * to detect changes in the environment and raise alerts when data drifts; and * to retain control of models and data. There's a big global market for this kind of solution. Best of lucks to Andrew and his team!