Physical AI's Android Moment: Why Your OS Can't Be An Afterthought
Applied Intuition founders reveal how fragmented OSs kill physical AI adoption. Learn why a dedicated OS is essential for autonomous machines.
40 hours of podcasts, in 5 minutes.
This episode features Peter Lewig and Kassar Ounounas, co-founders of Applied Intuition, a $15B company building "physical AI" for autonomous machines across various industries. They discuss the critical need for a specialized operating system for physical AI, challenges in simulation and model verification, the complexities of deploying AI on embedded systems, and their approach to hiring and cultivating engineers in this rapidly evolving field. The founders also share insights on startup strategy for hard tech, emphasizing commercial constraints and the power of compounding technology.
Applied Intuition founders reveal how fragmented OSs kill physical AI adoption. Learn why a dedicated OS is essential for autonomous machines.
Applied Intuition co-founders reveal their strategy for building a $15B company on "physical AI" for machines in safety-critical sectors, bypassing screen-based apps.
Applied Intuition co-founder Kassar Ounounas reveals how early commercial constraints and building compounding technology powered their $15B hard tech success.
Applied Intuition founders reveal the overlooked truth behind autonomous system failures: trust. And why your "sim to real" loop is crucial.
Applied Intuition founders reveal the hard truth of physical AI: large models are easy, but deploying them on embedded hardware under millisecond constraints changes everything for founders.