Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Mecka AI builds data, evaluation, and deployment infrastructure that helps robots learn from real human activity. Rather than collecting demonstrations through teleoperation, the company captures human motion using wearable body sensors and iPhones, an approach cofounder and CEO Josh Gao has described as training robots “on data collected from humans, not from data collected through teleoperation.” Founded by Gao, Mogen Cheng, Jason Chong, and Duy Nguyen, the New York-based company has raised $60M across a Series A and follow-on round led by Framework Ventures, with participation from Menlo Ventures, SV Angel, and Kindred Ventures.
Sensor / Time-seriesVideo