BLOGS

Most physical AI systems pass testing and fail in deployment. The reason is almost never the model, here's the five-part data diagnosis.

An accuracy rate tells you what passed the filter. It doesn't tell you where failures originated, which contributor cohorts caused them, or whether your task design was the root issue. If you're scoping a custom data collection vendor, this is where to start.

Most Physical AI data teams think diversity means demographics. It doesn't. There are 5 dimensions of bias and most teams only address one.