Real estate data is messy, fragmented, and usually trapped in a dozen conflicting silos. LD Salmanson explains how Cherre turned that chaos into the backbone of modern property intelligence. This conversation digs into what happens when you fuse connected data, knowledge graphs, and agent driven AI into the financial systems that move the global built world.
LD walks through the rise of enterprise grade AI agents, how banks are now underwriting loans in days instead of months, why humans are “just another model,” and what a future marketplace of reusable, chainable agents will unlock. The conversation ranges from semantic models to trust, from document intelligence to portfolio level decision making, and finishes with a surprisingly optimistic view of where humans still fit in an automated world.
Chapters 00:00 Welcome back to the Winners Circle
00:25 LD on building and selling multiple data companies
01:10 Founding Cherre and the thesis: whoever wins data wins AI
02:00 Connecting internal, external, and vendor data into one source of truth
03:10 The value of universal data models and massive knowledge graphs
04:20 Getting humans out of multi system data drudgery
05:10 The three layers of the data problem
07:00 The shift from dashboards to conversational insights
08:30 What Cherre’s Agent Studio actually does
10:45 Building custom agents, buying off the shelf agents, and chaining workflows
12:40 Real examples: automating underwriting and document processing
15:50 From five month loan cycles to five day cycles
17:40 Trust, governance, and replacing human judgment
21:00 Breaking every business workflow into atomic, automatable steps
25:00 Why AI is never going to be dumber than it is today
27:15 Data reasoning as the new frontier of automation
29:30 What humans will still do in an agent first world
30:45 Looking ahead to shared agent marketplaces
31:20 Closing thoughts
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