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.
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.
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.
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.
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, ISO 42001, and GDPR requirements.
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.
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.
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.
Unframe deploys tailored, production-ready AI solutions in days, not months, starting with one high-impact operation — such as lease abstraction or portfolio reporting - before expanding to additional use cases on the same data foundation.
