The business model is, initially, selling human labeling services to owners of data (like Uber or Google), using third world cheap labor to keep costs low. This is very much like a call center service.
Once a sufficiently large corpus of human labeled data is available (across clients and datasets probably), that labeled data is used to train a 'first pass' labeling system.
It then becomes a virtuous cycle. Now the labeling is done in two phases. The first pass system makes its best guess, which is then reviewed by the existing human work force. Over time the first pass labeler gets better and better, till only very tricky/borderline cases need human intervention.
The end game is anyone's guess. Pretty clever biz model hack.
Once a sufficiently large corpus of human labeled data is available (across clients and datasets probably), that labeled data is used to train a 'first pass' labeling system.
It then becomes a virtuous cycle. Now the labeling is done in two phases. The first pass system makes its best guess, which is then reviewed by the existing human work force. Over time the first pass labeler gets better and better, till only very tricky/borderline cases need human intervention.
The end game is anyone's guess. Pretty clever biz model hack.