In this episode of The Orita Podcast, Aaron Schwartz sits down with Daniel Brady, Co-Founder & Co-CEO of Orita.ai, for a rare inside look at how a neuroscientist accidentally became a startup operator and why the future of marketing belongs to teams who understand data, not just dashboards.

Daniel didn’t set out to build in ecommerce. He started in neurobiology at Harvard, studying how the brain works, before realizing academia was too slow and startups were where real-time learning happens. That shift led to a core thesis: machine learning shouldn’t support the product, it should be the product.

What followed was a journey from consulting to productizing one of the most counterintuitive ideas in marketing: sending fewer emails can actually make you more money.

Together, they dive into:

• From neuroscience to startups: why Daniel left academia to build faster, real-world systems

• The founding insight behind Orita: machine learning as the product, not a feature

• The “product-market fit pull” moment that changed everything overnight

• Why most brands are solving the wrong problem and optimizing the wrong metrics

• The hidden truth about email: more sends ≠ more revenue

• Deliverability, demystified: what’s really happening behind the inbox

• Why clicks (not opens) are the only metric that truly matters

• The real role of machine learning: handling customer variability, not just scale

• Why CDPs fail without the right team and how data becomes useless without action

• The difference between AI vs. ML and why most “AI” tools can’t actually solve targeting

• Bots, list decay, and the invisible forces quietly killing your performance

• Why most marketing strategies are just “last month + last year” and how to break that cycle

• The shift from static segments to predictive systems that adapt in real time

• What changes as inboxes evolve with AI and why relevance will matter more than ever

This episode is equal parts origin story, operator playbook, and technical breakdown. If you’ve ever wondered how modern brands should actually use data, what machine learning is really good for, or why your email strategy might be holding you back, this one will change how you think.

👥 Meet the guest

Daniel Brady, Co-Founder & Co-CEO at Orita.ai

🎙 Hosted by

Aaron Schwartz, Co-Founder & Co-CEO at Orita.ai

🎧 Chapters

[00:00] From Neuroscience to Startups...By Accident

[02:07] Leaving Academia: Why Speed Won

[03:25] Stumbling Into Startups and Getting Hooked

[04:25] The Original Vision: ML as the Product

[06:39] Why They Chose Commerce, Not Healthcare

[08:01] The “Aha” Moment: Solving Marketing Waste

[10:04] The First Product: Send Less, Make More

[12:12] Finding Product-Market Fit...Fast

[15:46] When Machine Learning Actually Matters for Brands

[20:43] AI vs ML: What’s Real vs Hype

[31:35] Convincing Brands to Email Fewer People

[46:17] The Future: AI, Inboxes, and Changing Signals

🌐 Check out Orita.ai for more episodes of The Orita Podcast, where we sit down with the most interesting operators, marketers, and founders in e-commerce to talk about what’s working right now. Hosted by the Orita team. Orita uses machine learning to help brands send smarter, more profitable marketing, by figuring out who actually wants to hear from you and when.

🚀 Get your free email audit from Orita, turn segments into superpowers: https://orita.ai

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