Deep Flow & The Future of Human-Machine Teams | Jonathan Gilmore on Imagine AI Live | E148

Imagine AI Podcast

In this episode of the Imagine AI Live Podcast, host Chris Madden welcomes back Jonathan Gilmore, CEO of Deep Flow, to discuss the company’s evolution from concept to venture-backed startup. Jonathan shares how Deep Flow is redefining human-AI collaboration through its “process as a product” model, helping organizations map and delegate workflows between people and AI. He highlights their focus on knowledge work, the massive $10 trillion opportunity, and how federated learning keeps enterprise data private. From streamlining compliance-heavy tasks to enabling creative work, Jonathan explains how Deep Flow is driving AI transformation—and why he believes this is “the slowest AI will ever move.” (0:00) Introduction to the episode (0:12) Welcome Jonathan Gilmore (1:40) The founding story of Deep Flow (2:28) A use case for Deep Flow inside a company (5:13) How does the Deep Flow onboarding process work? (6:50) Protecting a company's intellectual property (8:38) How big is the team and what's next? (9:24) Who is backing Deep Flow? (10:13) Approaching the next hurdle of sales (12:57) How the product will get into their company (13:13) Sourcing proprietary agents (14:45) How fast is the AI space moving? (16:22) Final thoughts