Real Estate

Applied AI for Real Estate. Screen deals faster, abstract leases at scale and keep every report audit-ready - across business operations.

Seamless Integration

Context Intelligence

Controlled Automation

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.

Real estate use cases

Unframe powers AI for real estate intelligence

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Capital markets & investment

Less waiting. Quicker underwriting.

Deal & OM screening against investment criteria
Portfolio monitoring - real-time NOI, occupancy, risk flags
Loan & covenant tracking
Investor & LP reporting
Cross-portfolio benchmarking

Brokerage & leasing

From inquiries to execution. Faster.

Lease abstraction across scanned, 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 (ServiceNow, JIRA, Confluence, CloudWatch)
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

Customers

What our customers are saying

"The reason we wanted to work with Unframe was to improve our quality and take our proofreading team’s capabilities to the next level with AI. They have been a very inspiring and incredible partner to work with."

Barnaby Skinner

Deputy Editor in Chief

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Customers

What our customers are saying

"Swish by Unframe has helped us better understand those trends across our support experience and identify opportunities for improvement."

Ken Thompson

Senior Director of IT Customer Care, RSM US LLP

Customers

What our customers are saying

“Every other tool kept showing us the same names. Unframe’s solution surfaces companies we'd never have found on our own — and they're exactly the kind of hidden gems we built this firm to back.”

Jacob Bernstein

General Partner

Customers

What our customers are saying

“At Cushman & Wakefield, we’re working to redefine the built world and challenge the status quo with cutting-edge data and digital strategies. Our ability to draw meaningful insights and deliver client outcomes has been significantly enhanced by working with Unframe. Our AI+ strategy is focused on bringing fast-paced and innovative solutions to unlock critical insights, and we are aggressively pushing forward with Unframe.“

Salumeh Companieh

Chief Digital and Information Officer

Customers

What our customers are saying

“Scaling AI requires a smart ‘build, buy, or borrow’ approach. For us, Unframe provides a clear ‘buy’ path, with reusable foundations that drastically shorten the road to impact. What sets them apart is their deeply collaborative spirit."

Phil Lockhart

Chief Digital Officer and Partner

Customers

What our customers are saying

"Unframe is now a strategic relationship for us and a core part of our platform for delivering on the promise of artificial intelligence. We're delivering in excess of 15 projects, and we expect that to grow as we move forward."

Ross Hodges

Global Head of Emerging Technology

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Customers

What our customers are saying

“Unframe went into impressive depth to understand our workflows and set an important puzzle piece for NZZ's AI strategy. We are building toward a long-term success story together."

Volker Dietzel

CTIO

Customers

What our customers are saying

"Unframe built VISION, a comprehensive case management and image-matching platform specifically designed for missing children investigations. This is Advanced AI focused on what truly matters: saving children’s lives."

Matt Shelton

Co-Founder and CEO

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Customers

What our customers are saying

"Getting in front of things instead of chasing them — that's the shift Unframe made possible for us. The impact on how my buyers engage, how orders come in, how the business moves? Immeasurable."

David Epstein

President/CMO

Customers

What our customers are saying

"We’ve approached it department by department, use case by use case, and what’s powerful is how those AI solutions start to build on each other across the business. As we expand into new use cases, that value will only continue to grow."

Joe Lopez

President

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 and property documents

Fragmented systems with no single source of truth

Manual, spreadsheet-driven workflows

Every investment decision requires traceability

Proven impact

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

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$1B+

growth capacity unlocked without adding headcount

90%

accuracy restored, cutting errors and rework

faster insight into liabilities and deadlines

Fully compliant

Global enterprises need compliance wherever they operate. We build it in from day one.

Security

How to work with us

Different challenges call for different approaches. Find yours.

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Managed Delivery

From a use-case to production, with our ownership of the outcome.

You Build

Your team builds on our platform, with our expertise and support to move faster.

We Advise

Got an AI question, challenge, or idea? We're here to help.

FAQs

Frequently asked questions

Does Unframe replace our existing real estate technology stack?

No. Unframe is designed to run alongside your existing systems and AI programs, integrating with your property management, CRM and IT operations tools rather than requiring a rip-and-replace migration.

How is agentic AI different from chatbots in real estate operations?

Agentic AI executes multi-step workflows autonomously - like screening a deal, abstracting a lease and updating portfolio records in sequence - while chatbots only respond to individual questions. Agentic systems are connected to your real systems and governed by your business rules.

What real estate AI use cases deliver ROI the fastest?

Lease abstraction, portfolio reporting and underwriting automation typically deliver the fastest measurable ROI in commercial real estate, because they replace high-volume manual document review with structured, traceable AI output.

Is AI in commercial real estate secure enough for sensitive lease and tenant data?

Yes, when deployed correctly. Unframe operates within your existing data perimeter - sensitive lease, tenant and deal data never leaves your environment, and every AI action is logged, access-controlled and auditable to meet SOC 2, ISO 27001 and GDPR requirements. See our Security page for more information.

How does AI improve commercial real estate underwriting?

AI-powered underwriting parses offering memorandums, rent rolls and loan documents to produce structured deal data in minutes instead of days, letting acquisition teams screen more deals without adding analyst headcount.

Can Unframe integrate with the property management systems we already use?

Yes. Unframe connects to Yardi, MRI Software, RealPage, Argus and other property management and valuation systems, plus ServiceNow, JIRA and Confluence for IT operations - without requiring you to replace any existing system.

What is AI lease abstraction and how does it work?

AI lease abstraction uses AI to automatically extract key clauses, dates, financial terms and obligations from commercial leases - including scanned, multi-language and decades-old documents. Unframe links every extracted data point back to its source clause, so teams get standardized lease data without manual review.

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