The Data Layer Reshaping Real Estate Decisions

About this episode

The episode discusses the importance of a solid data layer in real estate firms for effective AI deployment and compliance.

Most CRE firms do not know how their data is performing. They know the assets. They do not know whether the numbers coming out of their ERP, their property management system, and their third-party data feeds are consistent, auditable, or actually connected. When AI gets layered on top of that mess, it produces confident-sounding outputs nobody can verify. LD Salmanson, co-founder and CEO of Cherre, has spent seven years building the infrastructure layer that sits underneath the AI. The alternative is manual - and it breaks. Teams of consultants collect, distill, and rebuild data processes every few years. When staff leave, institutional knowledge leaves with them. The process erodes; you rebuild it. Compliance is non-negotiable. For clients reporting to public markets, "the LLM said so" is not a defensible audit trail. Every data point needs a traceable chain of custody from source to final figure. The engineering function is changing faster than hiring cycles. Cherre has moved to a model where engineers design and govern agents rather than write code. Salmanson expects manual coding to be largely redundant within six months. Firms that have not solved the data layer first will…

People in this episode

Host: Dr. Adam Gower

Guest: LD Salmanson

Topics covered

• data performance
• real estate
• AI infrastructure
• compliance
• data management

Keywords

• data layer
• real estate decisions
• AI
• compliance
• data processes
• Cherre
• ERP
• property management

Mentioned in this episode

Organizations: Cherre

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