Dataframed

Physical AI is showing up across the industry as sensors, connected devices, and foundation models move from the cloud into the real world. After years of IoT wiring everything to the internet, the big shift is turning raw measurements and video into meaning, not just dashboards. For day-to-day teams, that changes how you monitor equipment, detect failures, and decide what to do next. When thousands of sensor streams hit storage, who turns them into insights and recommendations fast enough to matter? Can one model generalize across different sensors and conditions? And what must run on the asset versus the cloud?Dr. Ivan Poupyrev is CEO and Founder of Archetype AI, where he is building a multimodal AI foundation model that combines real-time sensor data and natural language to help people and organizations better understand and act on the physical world. The company is developing a developer platform to unlock new applications of Physical AI across industries.Previously, he was Director of Engineering at Goog