Imagine AI Podcast
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Deep Flow & The Future of Human-Machine Teams | Jonathan Gilmore on Imagine AI Live | E148
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.”
Key Points
- AI is advancing at an unprecedented rate, and in ten years, we'll view today's technology as the slowest and least capable it will ever be.
- Deepflow's innovative approach to human-machine teaming is transforming workflows in compliance-driven industries by significantly reducing management overhead and freeing up human creativity.
- Deepflow leverages external agents and federated learning to optimize and manage company-specific processes without compromising proprietary workflows, aiming to become a critical tool in the AI transformation of businesses worldwide.
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Transcript
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