About real estate AI
What is a real estate ontology, and why does it matter?
A real estate ontology is a shared model of your business: projects, units, buyers, brokers, contracts, leases and how they relate, mapped to the systems where each lives. It gives every report and every AI agent the same definitions and full context, which is what makes their answers and actions trustworthy.
Finance and projects
Can you give our CFO one view of P&L, cash flow and project cost?
Yes. Data Semantics builds finance and project intelligence on your ERP and property systems: P&L, trial balance, financial ratios, cash flow, receivables and payables, project cost against budget and cost to complete, by entity, project and community, in Power BI and Microsoft Fabric.
Can AI process contractor and supplier invoices?
Yes. Serina, the Data Semantics accounts payable agent, captures contractor, supplier and utility invoices, matches them to purchase orders and receipts, routes approvals and posts them to your ERP, with only the exceptions sent to your team.
What is collections intelligence in real estate?
Collections intelligence predicts which buyers or tenants are likely to pay late across installments, rent and service charges, then uses AI agents to send reminders, make calls, track promises-to-pay, escalate disputes and reconcile payments in the ERP.
Sales and leasing
Do you work with both in-house sales teams and brokers?
Yes. Most developers sell through both. We bring campaign, portal, in-house and broker-registered leads into one view with clear ownership, and track conversion, forecasting and commission by channel and broker. We also work directly with brokerages.
Can you predict lease renewals and vacancies?
Yes. Data Semantics leasing intelligence combines occupancy, lease expiries, tenant sales, rent-to-sales ratios and arrears to flag tenants at risk of not renewing and units likely to fall vacant, so leasing teams can act months ahead.
Systems and data
Do we need to replace our existing systems or data platform?
No. Data Semantics builds on what you run today, including Microsoft Fabric, Databricks or Snowflake if you already use one. Where data needs cleaning or moving, DataPrep 360 handles it as part of the work.
Where is our property data hosted?
Our solutions run on Microsoft Azure and can be deployed in your own tenant and preferred region, so your data stays under your control.
Getting started
How do real estate companies start with AI?
Yes, and we recommend it. Common starting points are lead response and conversion, collections, invoice automation, leasing analytics and handover tracking. Each new use case reuses the same ontology, so it goes live faster.
Where does AI fit in a real estate business, and who stays in control?
AI agents score risk, respond to leads, follow up on payments, match documents and recommend next steps within guardrails you set. Business-critical decisions stay with accountable people, and every action is logged.
