Specialized AI brains for physical industry

What this episode covers

Sam Smith-Eppsteiner, a partner at Innovation Endeavors, argues that specialized vertical AI models are necessary for physical industries due to siloed, unstructured, and private data that general-purpose models struggle to utilize effectively. She outlines four key application categories: AI as a complex knowledge base for engineering, agentic automation for repetitive tasks like Hubflow’s trucker scheduling, engineering copilots such as Cadstrom’s PCB verification tool, and compliance automation exemplified by WeaveBio’s regulatory platform. Smith-Eppsteiner also discusses business model innovations, noting that selling 'the work' rather than just software allows companies to tap into larger labor budgets and achieve higher top-line revenue despite lower margins from inference costs.