Custom Data Sets

When you need a large dataset with which to train AI, you have a wide range of options – but not all of them are good. 

Confronted with a need for data, some companies turn to public data sets. But often these were never intended to support AI, and raise issues of data quality and bias. Similar problems apply to scraping data off the internet – with added legal risk.  

When companies try to collect data themselves, programs become difficult to scale and tough to manage – whether they recruit internally or try to crowdsource. And even with the best of intentions, getting a high-quality, representative sample of properly collected and annotated data requires is often beyond even enterprise capabilities.