Language models aren't the only path to intelligence. For physics, the primitive is fields.In this episode of the Mission Matters Podcast, Maggie Gray and Akhil Iyer sit down with Pratap Ranade, CEO & Co-Founder of Arena Physica, to discuss how he and his team are building electromagnetic superintelligence. Pratap breaks down Atlas, an agentic platform that pairs non-deterministic AI agents with deterministic physics and simulation models, and Heaviside, the first foundation model for RF design, trained on electromagnetic fields instead of words.They cover why hardware's software-defined future makes electromagnetism matter more than ever, how Heaviside hit its ”GPT-1 moment” with fully autonomous RF design, how Arena generates training data in a field with none publicly available, the pivot that deleted a double-digit-million revenue stream, and Pratap's vision for a new kind of Bell Labs.As always, please let us know what you think. And please reach out if you or anyone you know is building at the intersection of technology and national security. Explore Shield Capital's portfolio and thesis at: https://shieldcap.com/Follow Shield Capital and the Mission Matter Podcast on LinkedIn to catch every episode of Mission Matters: https://www.linkedin.com/company/mission-matters-podcast/ Visit Arena Physica's website: https://www.arenaphysica.com/0:00 – Introduction2:37 – What is electromagnetic superintelligence?5:20 – The current state of design tools8:09 – What ”software-defined” actually means12:28 – Pairing non-deterministic agents with deterministic physics18:01 – Building a foundation model for RF22:43 – Where the training data comes from25:06 – From pilot to rollout: patterns across industries30:05 – Winning over the skeptics34:48 – Using Atlas internally: DJI drone teardowns36:59 – The vision: a new Bell Labs40:08 – The hardest moment building Arena43:08 – Closing advice: build stupidly ambitious things