S11 E23: Dr. Zohar Bronfman, Pecan AI

Code Story: Insights from Startup Tech Leaders

Noah Labhart - Startup Founder & CTO

Tech News, News, Business, Technology, Entrepreneurship, Careers

4.6 • 216 Ratings

🗓️ 28 October 2025

⏱️ 39 minutes

🔗️ Recording | iTunes | RSS

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Summary

Zohar Bronfman spends most of his time in Tel Aviv, Israel these days. He has a focused academic background, specifically in philosophy and neuroscience. He was always intrigued by the question - how do we know what we know? - which led him to get a PhD in Philosophy. While doing that, he also became fascinated with he human mind and empirical decision making, which took him down the road of obtaining another PhD in AI & Neuroscience, essentially emulating brain processes. Outside of tech, he has 3 kids and a startup. He loves a good book in the philosophy or neuroscience space, and is a big fan of sports. Specifically, he loves the NBA and claims to be a Knicks fan.

Zohar and his now co-founder were digging into predictive models, as an extension of their academic studies. They were curious as to why companies, though they were running predictive models, were not making accurate predictions. They soon realized that this was because the AI modeling expertise was centralized at couple of well known companies.

This is the creation story of Pecan AI.

Transcript

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0:00.0	This episode is sponsored by CodeCrafters. As an engineer myself, I know that the best way to learn how to code is to build something new. But sometimes it's hard to come up with project ideas as well as find a community of folks on the same learning path. That's where CodeCrafters comes in. With CodeCrafters, you can build something that actually stimulates your mind while strengthening your engineering fundamentals.
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0:47.9	That's C-O-D-E-C-R-A-F-T-E-R-S to get started and get 40% off your upgrade.
0:57.0	Okay guys, I got a serious update for you.
1:01.0	You heard me talk about C-M-A and the Product Roadmap Radar.
1:04.0	I just caught up with Matt, who's the founder there, and he gave me the latest on what they are building.
1:09.0	And my mind is blown. The team at SEMA are taking
1:13.1	things to the next level. Built around the core of the product roadmap radar, i.e. code
1:18.1	and Jira analysis, they are building agent orchestration across the product lifecycle.
1:23.5	Picture this. You hook up this system same as before, i.e. integrate your repository and your
1:28.3	backlog, Jira today. From that point, CMA's agent analyzes the code base and makes suggestions
1:33.7	as to what needs to be done next and what could improve, optimize the product. Then, if those tasks are
1:40.2	routine, the agent assigns the task to a coding agent, think something like Devin, to
1:45.4	complete the minutia while assigning the human-in-the-loop tasks to engineers themselves.
1:51.0	What you end up with is engineers focusing on building core competency features while AI handles
1:56.4	all the rest. If you're not salivating right now, I don't think you fully understand what this
2:00.8	means. But here's what I would suggest. right now, I don't think you fully understand what this means.
2:01.7	But here's what I would suggest. Right now, their product is in a closed beta, and SEMA is looking
	...

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