[khannate]

I'm a little confused about what the business model here is. It sounds like they are selling labeled data to companies, and doing this by "label[ing] most of the objects automatically" and then having humans review these labels. So does this mean they are using some unsupervised method to label data, and then selling that to people who want to train supervised models? Why aren't they instead just beating out the people they sell to by solving the same problems without labeled data?

[fnbr]

Presumably they have a supervised model that they've trained on all their labeled data so far (possibly pooled across clients). They'd use this to estimate labels for their data, and then have humans correct it. They're basically doing the standard supervised data training loop.

If I had to guess, the long term plan probably is to move up the stack and sell the models to their clients.