Managed AI Services for Real Estate

An AI underwriting model or lease abstraction system that worked at launch quietly decays: rates move, comps shift, and a new loan product breaks the prompts. In real estate and construction, that drift hits where it hurts, in deals your lenders and partners are watching. Managed AI Services keeps your systems accurate against live market data and inside the controls your capital partners require. We monitor extraction quality on document-heavy workflows, watch for AML flags on transaction screening, and own incidents before they reach an investment committee. You stay focused on closing and building while your AI stays current, audited, and defensible.

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How we deliver it

Managed AI Services, built for real estate

We run 24/7 monitoring on your underwriting, document intelligence, and transaction-screening systems inside your own cloud, tracking extraction accuracy, latency, and cost per deal.

We maintain evaluation sets built from your real leases, loan packages, and project documents, so quality drift is caught before it touches a deal memo or a draw request.

We own incidents under clear SLAs, with full logging of every model decision so AML and lender reviews always have a defensible trail.

We drive a quarterly roadmap: new property types, new loan products, and new partner controls folded in as your portfolio and pipeline change.

Where it pays off in real estate

Underwriting model upkeep

We keep underwriting and risk models calibrated to current rates and comps, so the speed gains from launch do not erode as the market moves.

Lease abstraction quality

Continuous evaluation on lease and contract extraction catches missed clauses and term errors before they flow into rent rolls or diligence.

AML screening reliability

We monitor transaction-screening systems for false-negative drift and keep audit logs ready for lender and partner review.

Draw and project tracking

We operate the AI behind construction draw review and schedule risk, keeping alerts accurate as projects and subcontractors change.

Real estate clients typically hold underwriting throughput steady quarter over quarter instead of watching it decay, with incident response measured in minutes and a clean audit trail for every financed deal.

Real Estate AI, answered

Yes. We onboard and run systems we did not build, including underwriting models and lease abstraction pipelines. We start with an assessment of the current setup, stand up monitoring and evals, then operate it under SLA inside your cloud.

Every model decision is logged with inputs, outputs, and version, so any deal can be reconstructed for a lender or investment committee. We report on quality and incidents on a schedule you set, and the controls your partners require are enforced continuously, not just at launch.

Those changes are exactly what our iteration roadmap handles. We update evaluation sets and recalibrate models against current conditions, so your underwriting and document systems reflect today's market rather than the one they were trained on.