Custom AI Development for Real Estate

Real estate runs on documents: leases, rent rolls, loan agreements, title, and construction contracts, each with terms that move money and risk. Generic AI cannot read a 90-page lease, reconcile it against a loan covenant, and flag the exception that breaks a deal. We build custom copilots and domain models trained on your own deal and project data, deployed in your cloud so lender and partner controls hold. Because transactions trigger AML obligations and underwriting answers to your capital partners, every output is traceable to source. The work is engineered for the messy, document-heavy reality of how property is financed, built, and sold.

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How we deliver it

Custom AI Development, built for real estate

We start from one high-value workflow, usually underwriting or lease abstraction, and build a copilot grounded in your documents with every figure traceable to its page and clause.

We fine-tune or prompt-engineer domain models on your historical deals so extraction matches how your team actually reads a rent roll, a covenant, or a draw schedule.

We wire in transaction-level checks so AML and counterparty flags surface during the workflow, not after closing, with a clear audit trail for lenders.

We harden with eval suites on real leases and loan docs, deploy in your environment, and hand over code and models your team owns.

Where it pays off in real estate

Lease abstraction copilot

Extract rent, escalations, options, and exclusivity from leases at portfolio scale, each term linked to its source clause for review.

Underwriting assistant

Pull rent rolls, T-12s, and comps into a draft underwriting model in minutes, with assumptions your analysts can check and adjust.

Construction draw review

Reconcile draw requests against budgets and contracts, flagging overages and missing lien waivers before funds release.

Transaction screening

Surface AML and counterparty risk signals on buyers, sellers, and entities during diligence, documented for your compliance file.

Real estate clients typically cut lease abstraction and underwriting time by roughly 80 percent while keeping every figure traceable to source for lenders and partners.

Real Estate AI, answered

Yes. We tune extraction on your own document set, including hand-amended leases and bespoke loan agreements. The model learns your formats and edge cases, and anything it is unsure of is flagged for human review rather than guessed.

The system runs in your cloud and writes a full audit trail tying every extracted term and flag to its source. Transaction screening is built into the workflow so AML obligations are met during diligence, and lender-facing outputs are verifiable clause by clause.

Yes. Everything is deployed in your environment and your team owns the code, the fine-tuned models, and the eval suites. There is no lock-in, and you can operate it yourself or with our managed support.