Landmark provides an AI‑driven platform for commercial real‑estate owners and developers that automatically extracts lease terms, generates rent rolls, and monitors key dates such as expirations and renewals. By converting lease documents into structured data and delivering instant visualizations, the solution streamlines reporting, automation, and decision‑making across the property lifecycle.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial real estate owners and developers must manually review dense lease agreements to extract terms, build rent rolls, and monitor critical dates such as expirations and renewals. This manual process is time‑consuming, error‑prone, and hampers timely decision‑making.
Solution
Landmark offers an AI‑driven platform that automatically abstracts lease terms, synthesizes rent roll data, and tracks key lease dates. The system converts unstructured lease documents into structured data that can be used for reporting, automation, and analytics. By providing instant visualizations and workflow‑ready outputs, Landmark reduces the effort required for lease management and enables faster, more reliable operational decisions across the property lifecycle.
Target Audience
Primary customers are commercial real estate owners, developers, and asset‑management teams that need efficient lease abstraction, rent roll creation, and key‑date tracking across large property portfolios.
Features
- AI agents that auto‑extract clauses, rent amounts, escalations, and other terms from lease PDFs and Word files
- Automated generation of rent rolls and lease summaries for rapid review and distribution
- Continuous monitoring of expirations, renewals, and escalation dates with alert notifications
- Structured data export that supports downstream automation, reporting, and integration with existing CRE systems
- Domain‑specific workflows for acquisition, planning, construction, leasing, property management, asset management, and disposition
- Enterprise‑grade security and access controls to keep proprietary lease data protected