From raw sensor feed to training-ready dataset this post explains how data annotation works in robotics, why it's the most overlooked step in building physical AI.
This is exactly the gap Nferent AI helps close turning raw, real-world physical interactions into structured, multi-modal training data that gives robot arms.
Multi-modal data refers to the training dataset itself, while multi-modal AI refers to the model trained on that data. You cannot have reliable multi-modal AI without high-quality, well-synchronized multi-modal data behind it.