NEREJ/NYREJ Podcast

David Fields CEO of AcquiOS interview on NEREJ NYREJ Podcast

39 min · 14 de may de 2026
Portada del episodio David Fields CEO of AcquiOS interview on NEREJ NYREJ Podcast

Descripción

Send us Fan Mail [https://www.buzzsprout.com/1899808/fan_mail/new] Rick Kaplan host of NEREJ/NYREJ Podcast interviews David Fields CEO of AcquiOS.          Acquios.ai     David Talks about how AI is fundamentally changing the speed and quality of commercial real estate deal analysis and what that means for acquisitions teams right now. Specifically: how firms are going from receiving 50+ broker emails a week and spending 5–10 hours per deal on underwriting to getting first-cut models in minutes, in their own templates. I'd also want to touch on the difference between AI tools that track your pipeline versus AI that actually tells you what a deal is worth. And I think your audience would find it interesting to hear how the platform learns from a firm's historical deals so that the 11th deal you underwrite is smarter than the first, essentially building a proprietary knowledge base that compounds over time. Happy to also get into the practical side: what does human-in-the-loop AI actually look like, and how do investment professionals stay in control while moving dramatically faster.

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David Fields CEO of AcquiOS interview on NEREJ NYREJ Podcast

Send us Fan Mail [https://www.buzzsprout.com/1899808/fan_mail/new] Rick Kaplan host of NEREJ/NYREJ Podcast interviews David Fields CEO of AcquiOS.          Acquios.ai     David Talks about how AI is fundamentally changing the speed and quality of commercial real estate deal analysis and what that means for acquisitions teams right now. Specifically: how firms are going from receiving 50+ broker emails a week and spending 5–10 hours per deal on underwriting to getting first-cut models in minutes, in their own templates. I'd also want to touch on the difference between AI tools that track your pipeline versus AI that actually tells you what a deal is worth. And I think your audience would find it interesting to hear how the platform learns from a firm's historical deals so that the 11th deal you underwrite is smarter than the first, essentially building a proprietary knowledge base that compounds over time. Happy to also get into the practical side: what does human-in-the-loop AI actually look like, and how do investment professionals stay in control while moving dramatically faster.

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