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Summary:
In this episode, Whitney interviews Marc Rutzen, Cofounder and CEO at ENodo, Inc. ENodo is the first automated underwriting platform for multifamily real estate. Marc reveals some little known nuances of ENodo which aims to remove market inefficiencies by enabling you to make data driven decisions. How does ENodo gain its “forward looking capabilities”? How is the underlying data updated to reflect current investing climate? You will also learn how AI capabilities make Enodo an extremely easy tool to use. Tune in to learn more!
Time Stamped Show Notes:
- 00:29 – Whitney introduces Marc to listeners
- 01:03 – Marc shares his background information
- 02:03 – What market inefficiencies did Marc see which ultimately led him to the formation of Enodo?
- 03:29 – How does Enodo predict the market rent and property value?
- 04:30 – Learn how Marc bootstrapped the development of Enodo
- 05:24 – Where is the underlying data for Enodo sourced from?
- 07:06 – How does the Enodo algorithm predict the effect of amenities on apartment rent?
- 08:41 – Can you customize the inputs in Enodo to accurately predict the value of your property?
- 10:00 – Are data inputs constantly updated in Enodo?
- 11:07 – What kind of improvements have been made to Enodo since launch?
- 12:27 – Learn how AI and extensive coding has made Enodo an easy to use platform
- 16:06 – The “forward looking” nature of Enodo helps syndicators make better investing decisions
- 18:17 – How can you learn more about Enodo?
- 19:02 – Share, review and subscribe to the Real Estate Syndication Show
- 19:16 – A special thanks to our sponsor, Life Bridge Capital
In this episode, you will learn:
- How Enodo predicts market rent and property value
- Where is the underlying data for Enodo sourced from?
- How to customize Enodo to accurately analyze your property
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