RAG & Knowledge Systems for Real Estate
Real estate runs on documents that contradict each other: leases, estoppels, loan agreements, title work, and project specs that change weekly. When an analyst asks what a lease says about a co-tenancy clause or a TI allowance, a guessed answer can blow up an underwriting model or a draw request. RAG is the right tool here because the answer must come from the actual instrument, with a citation an analyst, lender, or partner can open. We build retrieval that respects deal structure and AML controls on transactions, so grounded answers replace document archaeology across acquisitions, leasing, and construction delivery.
RAG & Knowledge Systems, built for real estate
We ingest leases, loan docs, title, and project files, chunking by clause and section so retrieval returns the right paragraph, not a blurry summary.
We use hybrid retrieval that combines keyword and semantic search, which matters when deal terms hinge on exact defined terms like Base Rent or Stabilization.
Every answer cites the source document, page, and clause, so underwriters and lender counsel can verify before relying on it.
We add an eval harness on real deal questions, and freshness rules so superseded amendments never get cited as current.
Where it pays off in real estate
Lease abstraction
Pull renewal options, co-tenancy, and recovery terms from a lease stack with a citation to each clause, instead of paying for manual abstracts.
Underwriting Q&A
Let analysts query the deal room in plain language and get grounded answers tied to the source loan and title documents.
Draw and spec lookup
Answer construction draw and spec questions against the project file so delivery teams stop re-reading binders.
Portfolio document search
Search every property's documents at once to find exposure, like all leases with a specific exclusivity, with citations.
Lease and deal-document review that took analysts hours per file drops to minutes, with every answer traceable to the clause that backs it.
Real Estate AI, answered
No. We track document lineage and freshness, so superseded versions are flagged and current amendments are retrieved first. Every answer shows which document and date it came from, so your team can confirm it is the operative one.
Yes. Ingestion includes OCR and layout parsing for scanned and image-based documents, which is most of a real estate file room. We chunk by clause so retrieval stays precise even on poorly formatted originals.
Yes. The system deploys in your own cloud and you own it, so deal-room and transaction data never leaves your environment. That keeps you aligned with lender, partner, and AML requirements on sensitive transactions.
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Bring RAG & Knowledge Systems to your real estate team
Book a free consultation. We'll show you the highest-leverage place to start and exactly how we'd ship it.