Deep Flow & The Future of Human-Machine Teams | Jonathan Gilmore on Imagine AI Live | E148
Update: 2025-08-19
Description
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
(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
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