The next generation of AI will differentiate based on the data and the tooling. Having precise ground truth labeled data is paramount to solving for edge cases and corner cases. Auto-labeling the scenario data is the holy grail of training ML models. Hyperspec AI’s Road Mentor platform enables a 10x increase in Ground Truthing test coverage.

Hyperspec AI developed RoadMentor as a SaaS platform which enables the ML Ops and triage teams to improve SLAM, perception AI models by comparing reality and model outputs. This capability to measure reality dramatically improves the quality of the perception stack, reducing the number of interrupts a vehicle encounters in production. Each generation of AI Model deployment requires a wealth of such data which represents reality and it is becoming increasingly exhaustive as you reach greater degrees of reliability. It is important for organizations to get better at curating, labeling and utilizing the data to teach machines to bridge the gap between perception and reality.