Using Location Data To Make Better Investing Decisions

The Source of Commercial Real Estate

Thomas is obsessed with developing data-driven solutions designed to improve the way retailers and real estate make data-driven business decisions.

He started Unacast with his co-founder, KJ ,to help businesses gain an in-depth understanding of how people move around the planet.

Since its inception, Unacast has raised +$50m from VCs and has been awarded multiple awards for our tech platform to enable companies in retail, real estate, finance, and telcos to optimize their investment strategies and retail operations.

Prior to Unacast, Thomas was a part of the early team at the music streaming service TIDAL (crazy ride), which was acquired by Jay Z in 2014.
"I love what I do and regularly share my opinion on tech and startups as a member of the Forbes Technology Council or in Inc. Magazine, Business Insider, The New York Times, and Wall Street Journal."

Connect with Thomas:
www.unacast.com
https://www.linkedin.com/in/thomaswalle/
Takeaways

• Unicast provides data-driven solutions to help retailers and real estate investors make better decisions.
• The company collects data from various sources, including GPS data from cell phones, to understand people's movement patterns.
• Unicast offers a dashboard and data feeds to provide insights on foot traffic, demographics, and neighborhood performance.
• Transparency and accuracy are key values for Unicast, setting it apart from competitors.
• Generative AI is used to bridge the gap between data and narratives, making it easier for users to interpret and make decisions based on the data.

Chapters

00:00
Introduction to Thomas Walley and Unicast

02:32
The Purpose of Unicast and its Data Sources

04:08
The Inspiration Behind Unicast

06:16
The Problem Unicast Solves for Investors and Retailers

08:39
How Unicast Provides Data to Real Estate Investors

10:39
The Unicast Dashboard and Data Features

12:37
Differentiating Unicast from Competitors

15:24
Data Sources and Accuracy of Unicast

17:31
Analyzing Trends and Granularity of Unicast Data

21:37
Ensuring Data Quality and Efficacy

24:42
The Power of Generative AI in Unicast

28:24
The Advantage of Unicast's Norwegian-American Background

34:48
Raising Capital and Building Trust

39:18
The Future of Unicast

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