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Artwork for AI in the Real World with Foundation Capital

AI in the Real World with Foundation Capital

Joanne Chen
Tennr
Exponential View
Healthcare
Ambi Robotics
Robotics
Foundation Capital
Language Models
Context Graphs

The founders building with AI and the researchers behind it. We explore how AI is reshaping real products and real businesses, what it takes to make it work, and the learnings along the way.

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Artwork for AI in the Real World with Foundation Capital

Latest Episodes

The next phase of AI adoption will depend on making intelligence more efficient, not just more capable. In this episode, Jaya is joined by Stanford Ph.D. researchers Jon Saad-Falcon and Avanika Narayan to discuss how local and hybrid AI can help brin... more

In this episode, Joanne is joined by Azeem Azhar, founder of Exponential View, to unpack what it will take for AI to move from individual productivity gains to true org-level transformation.

The conversation builds on Joanne and Leo’s recent essay o... more

YouTube

Tennr co-founder and CEO Trey Holterman joins Joanne to talk about what it takes to make AI work in healthcare, and why the answer is not simply "better models."

Tennr focuses on patient flow: the process of getting patients from one provider to the... more

YouTube

Welcome to AI in the Real World! In this episode, Foundation Capital Partner Joanne Chen sits down with Ken Goldberg, professor of engineering at UC Berkeley and co-founder of Ambi Robotics, a company applying AI-enabled robotics to transform the log... more

YouTube

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Recent Guests

Azeem Azhar
Founder of Exponential View
Exponential View
Episode: The great reorg is just getting started | Azeem Azhar, Founder of Exponential View
Trey Holterman
Co-founder & CEO of Tennr
Tennr
Episode: Making healthcare move faster: Trey Holterman, Co-founder & CEO, Tennr
Ken Goldberg
Professor of Engineering at UC Berkeley; Co-founder of Ambi Robotics
UC Berkeley; Ambi Robotics
Episode: What robots can (& can't) do in 2025: Ken Goldberg, UC Berkeley & Ambi Robotics

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#112
Spain/Technology
Apple Podcasts
#140
India/Technology

Talking Points

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What robots can (& can't) do in 2025: Ken Goldberg, UC Berkeley & Ambi Robotics
Q: What do you see as the near-term promises and limitations of data-driven approaches to robotics?
He emphasizes the need for grounding data in physical reality, the importance of hybrid engineering, and cautions that while data-driven methods are powerful, they must be integrated with traditional engineering to achieve reliable, cost-effective automation.
What robots can (& can't) do in 2025: Ken Goldberg, UC Berkeley & Ambi Robotics
Q: Could you tell me a bit more about what drew you to the field and how you got started?
The guest explains a lifelong fascination with robots, early hands-on work in grasping and robot hands, and a long academic path through Penn and Carnegie Mellon that kept returning to the central problem of how to pick up arbitrary objects.
Making healthcare move faster: Trey Holterman, Co-founder & CEO, Tennr
Q: What is Tennr?
Tennr is a platform designed to streamline patient flow, reducing delays and inefficiencies in getting patients from one point in the care journey to another, by handling complex, unstructured information and policy guidelines across providers.
The great reorg is just getting started | Azeem Azhar, Founder of Exponential View
Q: How do you see the role of AI in transforming company-wide workflows and governance in the next few years?
AI will restructure how work flows across teams, necessitating new roles (like Chief Accountability Officer and validators), and shift the locus of control from traditional processes to agent-based systems that coordinate humans and machines.
The great reorg is just getting started | Azeem Azhar, Founder of Exponential View
Q: What advice would you give early stage founders designing their startups in this AI era?
Focus on cycle time: how quickly you can take a customer insight, build a feature, and ship it back to customers; start with targeted outreach to real buyers, and aim for ultra-fast iteration cycles (12-24 hours) to validate ideas and learn rapidly.

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this podcast launched 2 months ago and published 13 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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2. Trey Holterman
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