LD Salmanson is Co-Founder and CEO of Cherre, the leading real estate data and intelligence platform. He leads Cherre's push to rewire real estate intelligence through enterprise-grade AI agents that help banks underwrite loans in days instead of months.
Cherre is helping real estate professionals win with data by building the infrastructure that connects, cleans, and makes sense of the fragmented, inconsistent, and siloed property data that has historically made real estate one of the hardest industries to analyze at scale. As a leader in real estate data intelligence, the team at Cherre works with investors, lenders, operators, and asset managers to give them a single, trusted view of the data they need to make faster and better decisions.
In this episode, the conversation covers how Cherre is rewiring the data layer of the real estate industry, why property data is so uniquely difficult to work with, how AI is changing what is possible when you have clean, connected real estate data, and what the future looks like for an industry that has historically operated on intuition and relationships rather than data-driven decision making.
Topics Covered:
- Welcome and intro; Cherre and real estate data intelligence
- Why property data is uniquely fragmented and difficult to work with
- How Cherre connects and cleans real estate data at scale
- Giving investors, lenders, and operators a trusted single view of data
- How AI changes what is possible with clean, connected real estate data
- The future of data-driven decision making in real estate