AI systems for real estate.
The workflow pattern we see in this industry, and what we would build for it.
01
Deal lands
An OM and rent roll arrive as PDFs. An analyst re-keys the numbers into the model by hand.
02
Comps assembled
Comparables are gathered from portals and calls, one submarket at a time. Days pass.
03
Memo drafted
The IC memo is written from scratch. Half the week goes to data prep, not the decision.
04
Leases abstracted
Post-close, lease terms are abstracted by hand into spreadsheets. The data goes stale immediately.
A deal intake and abstraction agent.
An agent that extracts rent rolls and lease terms from PDFs into your model, assembles the comp set, and drafts the IC memo for review. Your team keeps the final say on every deal. The agent removes the re-keying, so analysts work on the decision instead of the data prep.
10 to 14 weeks from kickoff to a live production system. We stay through adoption.
Eval harness
Checks agent outputs against a test set before release.
Reliability gates
Hard checks the system must pass before it ships.
Live production system
The working system in your stack, not a report.
Adoption Mile
To the 70 percent weekly-active bar by day 90.
CRE data trapped in unstructured documents
Above 70 percent
IllustrativeAsset manager time on data prep, not analysis
50 to 70 percent
IllustrativeUnderwriting cycle compression from extraction
Varies by asset class
Illustrative
Ranges are industry observations for orientation. They are not ClearForge results. Our results live on the proof page.
See the proofStart where every engagement starts. The fixed-fee Diagnostic maps this workflow in your acquisitions team in 2 weeks.
Starting point · Forge Diagnostic