Data annotation partners play an important role in the success of your AI product. Unfortunately, most teams focus only on price and timeliness. The truth is, real project success depends on digging deeper. You have to ask the right questions about quality and expertise in order to achieve it. A…

Your project’s development pace can make or break your market presence. But one pesky hurdle that holds teams back is data annotation.Old-fashioned approaches impose an impossible trade-off between speed and quality. If you rush, your accuracy will suffer. Consequently, if you prioritise precision, the projects drag on for months. A…

It is quite obvious that poor data kills good AI training models. Our research on 200+ machine learning projects uncovers a key finding. It shows that enhancing data annotation accuracy from 95% to 99% increases AI performance by as much as 60%. This isn’t merely a technical gain—it has a…