Enterprise AI for Real Estate

Managed AI Transformation for Real Estate

Screen deals faster, abstract leases at scale, and keep every report audit-ready across business operations.
AI that moves portfolios forward

Seamless Integration

Property management systems, market data, CRM, and legacy warehouses connected without disrupting your existing systems.

Context Intelligence

Every lease, amendment, contract, and correspondence transformed into the structured context behind every portfolio decision.

Controlled Automation

From document intake to final output —every workflow automated end-to-end, with full visibility at every step.

Where Unframe powers real estate intelligence

Capital Markets & Investment Management

Less waiting. Quicker underwriting.

  • Deal & OM screening against investment criteria
  • Portfolio monitoring
  • Loan & covenant tracking
  • Investor & LP reporting
  • Cross-portfolio benchmarking

Brokerage & Leasing

From inquiries to execution. Faster.

  • Lease abstraction across multi-language portfolios
  • Tourbooks & client-ready packages, auto-generated
  • Comps & market intelligence
  • RFP, LOI & lease negotiation support
  • Deal-room document collaboration

Property & Facilities Management

One view across every portfolio.

  • Predictive maintenance from IoT & BMS data
  • Unified incident dashboards
  • Tenant & resident service automation
  • CAM reconciliation & expense tracking
  • Energy & operations optimization

Valuation & Advisory

Appraisals backed by data, not guesswork.

  • Rent roll & appraisal document standardization
  • Cap rate & comparable-asset benchmarking
  • Market trend & predictive analytics
  • Argus / Excel model pre-population
  • Audit-ready valuation trails

Customer Spotlight

Read the customer story
Reduction in lease processing time
Faster portfolio acquisition processing
Traceability to original source clauses
Why AI in real estate is hard

Most of the information you need already exists. What's missing is a way to trust it - leases, rent rolls, and reports are kept in different systems and formats.

Decades of unstructured lease & property documents
Fragmented systems with no single source of truth
Manual, spreadsheet-driven workflows
Every investment decision requires traceability

Three steps to AI in production

We collaborate to prioritize your use cases
We work with your team to define a use case tied to a measurable outcome - revenue, cost, speed, accuracy. A specific problem with a number attached to it. If it doesn't move a number, we don't build it.
Timeline:
60 minutes
Unframe tailors an agentic solution to you
Unframe configures a solution using pre-built, production-hardened components assembled by a Blueprint and tailored to your specific use case.‍

Deployed on your data, in your environment, on your choice of LLMs. No FDEs required.
Timeline:
Days. Not months.
Get a production-ready solution
Move beyond endless POCs that never make it to production. You evaluate the solution on your real data, in your real environment. If it delivers the outcome we aligned on, you subscribe. If it doesn't, you don't pay.

No upfront licensing. No commitment before proven value. The commercial relationship starts after the outcome is demonstrated.
Timeline:
Fast.

Real-world success

AI Lease Abstraction, Multi-Language Document Processing

Real Estate

Cushman & Wakefield x Unframe

AI-powered CRE Finance Automation

Real Estate

Leading CRE firm’s Finance Team achieves 5x faster insights into liabilities

AI Tenant Intelligence

Real Estate

Leading Global Commercial Real Estate Company achieves 90%+ accuracy in AI-driven data cleansing

FAQs

What is AI lease abstraction and how does it work?
Can Unframe integrate with the property management systems we already use?
How does AI improve commercial real estate underwriting?
Is AI in commercial real estate secure enough for sensitive lease and tenant data?
What real estate AI use cases deliver ROI the fastest?
How is agentic AI different from chatbots in real estate operations?
Does Unframe replace our existing real estate technology stack?
How long does it take to deploy an AI solution for a real estate use case?