Episode 8: L.D. Salmanson on Building Cherre

The conversation explores the complex challenges of real estate data management, where everything from square footage calculations to lease terms can be defined differently across markets and even within the same organization. You’ll hear how Cherre’s platform tackles the fragmented data landscape by connecting, structuring, and standardizing information across portfolios, enabling more reliable analysis and decision-making. They discuss why data accuracy is fundamental for the future of AI in real estate, how the industry is moving toward data-driven strategies in response to market shifts, and why large language models alone can’t solve the unique data challenges real estate faces without proper infrastructure.

Hear about the vision for virtual analysts that could transform how properties are evaluated, the potential for more efficient markets when everyone has access to high-quality information, and how the integration of AI with structured real estate data might ultimately lead to lower costs and more seamless transactions across the built environment.