Empiric Earth’s Jen Vescio leads physical AI’s real-world data push

Vescio, who previously led business development at Uber and advised emerging tech startups, highlights the lack of real-world data as a key obstacle in scaling physical AI. Most systems excel in controlled environments but fail in unpredictable real-world scenarios, such as rare events like animal crossings or sudden road changes. Empiric Earth’s dataset—captured continuously and filtered for anomalies—helps developers identify gaps in their models, refine simulations, and validate performance against actual conditions. The company emphasizes neutrality, portability, and interoperability, positioning itself as a ‘referee’ for the ecosystem rather than a competitor. Vescio also stresses the importance of open-source collaboration and diverse leadership in shaping safer, more responsible AI systems.