In our very first episode, Brian and Kamil launch the REVEL Deep Tech Podcast and share why now is the moment for startups, researchers, and VCs to rethink how robots are trained. We frame the problem: data gaps, complex workflows, and robots that rarely practice on the tools people actually use and introduce REVEL’s approach: digital twins, a public-data object library, and a prompt-to-train platform that makes robot training stupid simple. We also recap lessons from the NVIDIA Hackathon, trade stories from the field, and set the tone for what listeners can expect each week: honest, builder-first conversations with the people shaping embodied AI.