Company
Building the data layer for physical AI.
Nero Development operates capture hardware, data infrastructure and a distributed collection network so robotics and embodied AI teams can train on real work instead of simulation alone.
Mission
The internet gave language models their training data. Physical AI needs an equivalent for the real world.
Nero builds the hardware, collection network and data pipeline required to capture real work at the scale robotics and embodied AI need.
2027
Collection Network Target Year
240
Targeted Live Collection Sites
300,000
Targeted Cumulative Hours Captured
How We Work
Real environments, not staged demos
Data is collected where work actually happens, not recreated in a lab.
Hardware built for the dataset
Capture systems are engineered around what a model needs to learn, not off-the-shelf sensors.
One pipeline, end to end
Nero controls capture, processing and annotation so a dataset can be shaped to a client's specification.