Costs slashed to 1/10! Saying goodbye to manual data collection—how will embodied data Token factories achieve operational success?

What happened: InSpatio (影溯) opened what it describes as China's first embodied simulation data collection center in Hangzhou on October 30, converting real spaces into digital scenes to generate robot training data. Key numbers: The center is projected to produce 1 million hours of simulation training data per month, with per-item cost about 1/10 of Why it matters: InSpatio argues data output can shift from manual on-site collection to digital scene reuse and cloud parallel computing, which the company presents as a path to stable data supply for large-scale embodied AI training.

InSpatio (影溯) opened what it describes as China's first embodied simulation data collection center in Hangzhou on October 30, converting real spaces into digital scenes to generate robot training data.

InSpatio argues data output can shift from manual on-site collection to digital scene reuse and cloud parallel computing, which the company presents as a path to stable data supply for large-scale embodied AI training.