Robotics has a data problem. Macrodata Labs wants to solve it

The AI industry has spent the past several years learning a critical lesson: better data often matters as much as better models. While advances in large language models have been powered by increasingly sophisticated datasets and data pipelines, robotics has yet to undergo the same transformation. Robotics teams are working with vast quantities of video, sensor data, and demonstrations, but much of the infrastructure needed to process, annotate, and improve that data remains immature.