Company
We build datasets for machines that cannot afford to be wrong.
Systems that operate in the physical world are only as reliable as the data behind them. Cato Labs exists to make that data better, and to be honest about what it is.
Principles
How we work.
- 01
Collect on purpose
Data is planned against the conditions a system will meet. The hard cases are collected deliberately.
- 02
Write it down
Every dataset ships with the record of how it was made: sensors, calibration, guidelines, review.
- 03
Say what we cannot do
If a request is outside what we can do well or handle safely, we say so early.
- 04
Keep data where it belongs
Handling requirements come first, and the plan is built around them.
Work with us
Building something that needs data?
If you build robots, vehicles or any system that perceives the physical world, we would like to hear what your data problem looks like. If you want to help build Cato Labs, write to us too.