Physical-ai

Robot data buyers waste budget on hours they cannot use. Compare 10 data collection companies for robotics and embodied AI, with fit, limits, and real pricing.

Most physical AI data companies are under two years old and cannot name a customer. Here are 10, mapped by capture method and read against receipts.

Scaling robot data is a variance problem, not a volume problem. The 2026 tool stack, the diversity budget, real cost benchmarks, and what breaks first.

Build or buy is the wrong question. Split annotation into five layers, decide each one separately, and see the real cost math most teams get wrong.

Everyone says annotation is broader than labeling. True, and useless for scoping work. The axis that actually changes your cost, QA, and hiring.