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Real estate AI that structures property and deal context.

Extract documents, summarize properties, qualify leads, and support valuation or diligence workflows with source-backed outputs.

Workflow Showcase

How custom real estate systems operate.

We map each production workflow: where we connect the context systems, the custom workbench we build, how human operators review outputs, and the compliance metrics we deploy inside your cloud.

01 // Context Ingestion

Property spec and document parser.

AI document processing extracts property disclosures, deed specifications, local tax registries, and valuation documents automatically into a secure property index.

Client Cloud Ingestion100% Hosted in Client Network
MLS Listings
Deed Disclosures
Local Tax Registries
Valuation Sheets
Unified CoreClient Match Pipeline
02 // Custom Solution

Custom brochure and flyer composer.

Creative writing tools draft property brochures, catalog highlights, and custom listing sheets from extracted property documents.

Rep Workspace & Draft ComposerRepresentative Client View
Target Contact
Sanjay M. (Commercial Buyer)
Engagement Score
0.94 / High
Draft Follow-Up Emailcustom-writer.ai

Hi Sanjay, based on your search parameters, we mapped 3 prime logistics commercial spaces matching your transit routing preferences...

Tokens: 38 Checked against playbook
03 // Broker Review Gate

Client matching and pipeline manager.

Smart systems evaluate buyer interests, match them against listed properties, and place the matches in an organized broker pipeline.

Human-in-the-Loop Review GateSafety Control Queue
Active Safeguard Verifications
1. MLS Status Checked Checked
2. Tax Registry Match Checked
3. Buyer Pipeline SyncReview Pending
Use Cases

Where this becomes a scoped first release.

Each use case is linked to the services that would actually build it. Case studies appear only where the proof matches the workflow.

01industry

Lease and transaction abstraction

Extract dates, obligations, rent terms, clauses, and risks from property documents into structured records.

02industry

Property lead and inquiry routing

Qualify inquiries, match property criteria, and route leads or tenant requests to the right owner.

Relevant Services
First Release

Start with lease and transaction abstraction.

The first build should have named source systems, a clear owner, realistic examples, and one measurable handoff point before expanding across the team.

Review Boundary

Keep judgment with the operating team.

AI can retrieve, draft, score, classify, and recommend. Material commitments, sensitive updates, and uncertain cases should pause for human approval.

Not A Fit

Do not automate unclear work.

If the process has no stable source of truth, no accountable reviewer, or no repeatable decision pattern, we recommend fixing the workflow before adding agents.

Case Studies & Resources

Next Step

Map the real estate workflow before choosing the model.

We identify the context sources, action boundaries, review gates, and launch path needed for a safe first release.

Talk to an AI Engineer