Summary
Luel builds a rights-cleared data marketplace for frontier AI labs training multimodal, robotics, and speech models. William, a 2x founding engineer, and Inigo, a former machine learning researcher, both Berkeley dropouts, solve the problem of exhausted public web data and datasets with unclear rights by mobilizing a global contributor network to deliver custom, to-spec datasets with clean provenance and consent documentation within days. They offer both custom collections and off-the-shelf catalog datasets ranging from patient-doctor conversations to gemstone manufacturing footage.
