“I cannot fathom a faster or easier way to achieve production-quality annotations. Rapid was like magic. We kept kicking the segmentation work to the back burner, and honestly almost abandoned it, but three days after kicking off our project with Rapid, we had all the data we needed in perfect …

“With the annotations we obtain from Scale, we can train ML models that are generalizable to people’s data, even if someone makes small changes to their experiment setup. This makes it easier for us to build research pipelines that are reusable across our lab.”