List of Entrata Layered Intelligence (ELI) Customers
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United States
Since 2010, our global team of researchers has been studying Entrata Layered Intelligence (ELI) customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Entrata Layered Intelligence (ELI) for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Entrata Layered Intelligence (ELI) for Generative AI Platforms include: Hines, a United States based Construction and Real Estate organisation with 5000 employees and revenues of $1.30 billion, Mountain States Property Management, a United States based Construction and Real Estate organisation with 18 employees and revenues of $7.0 million, Catalyst Housing Group, a United States based Construction and Real Estate organisation with 20 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Entrata Layered Intelligence (ELI), including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Catalyst Housing Group | Construction and Real Estate | 20 | $3M | United States | Entrata | Entrata Layered Intelligence (ELI) | Generative AI Platforms | 2024 | n/a |
In 2024, Catalyst Housing Group deployed Entrata Layered Intelligence (ELI) across its California portfolio to streamline leasing, applicant qualification, tour scheduling, and resident communications. Entrata Layered Intelligence is a Generative AI Platforms deployment focused on leasing and resident services workflows, implemented to assist site teams with applicant screening, pricing and availability checks, and scheduling. The rollout targeted property-level operations across Catalyst's California sites and concentrated on frontline leasing and resident services staff.
Functional capabilities implemented via Entrata Layered Intelligence included automated applicant qualification screening, pricing and availability verification, tour scheduling orchestration, and templated resident communications, supporting standard leasing and resident lifecycle workflows. Entrata reported ELI assisting with qualification, pricing and availability checks, and scheduling to free up site teams for higher-value customer engagement, and the implementation operated within Entrata's platform environment as delivered by the vendor. Governance and rollout emphasized operationalizing new workflows for leasing and resident services, training site teams on ELI-driven processes, and centralizing routine transaction handling to improve operational efficiency in the targeted regions.
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Hines | Construction and Real Estate | 5000 | $1.3B | United States | Entrata | Entrata Layered Intelligence (ELI) | Generative AI Platforms | 2024 | n/a |
In 2024 Hines deployed Entrata Layered Intelligence (ELI), a Generative AI Platforms solution, to automate resident communications and accelerate routine leasing and operations tasks. Entrata Layered Intelligence (ELI) is being used to generate draft resident notices and rent reminders, delivering time savings for leasing and resident services teams and improving site-level efficiency across Hines properties in the United States.
The implementation centers on automated resident communications and natural language draft generation capabilities, enabling leasing and resident services teams to produce standardized notices and reminders more quickly. Operational scope is site-level across the United States, with workflows configured to support notice drafting, reminder cadence, and routine leasing operations, and governance that emphasizes template standardization and approval workflows to preserve consistency and compliance. The deployment leverages Generative AI Platforms functionality including natural language generation driven draft generation, workflow orchestration, and automation of repetitive administrative tasks at property sites.
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Mountain States Property Management | Construction and Real Estate | 18 | $7M | United States | Entrata | Entrata Layered Intelligence (ELI) | Generative AI Platforms | 2025 | n/a |
In 2025, Mountain States Property Management announced a full-platform rollout of the Entrata operating system across its Intermountain West portfolio. Entrata Layered Intelligence (ELI) is identified in Entrata product messaging as the generative AI component associated with the deployment, and module usage of Entrata Layered Intelligence (ELI) in this rollout is inferred from Entrata's AI positioning and press statements.
The implementation emphasizes Generative AI Platforms capabilities embedded in the Entrata OS to support operations and leasing functions. Configuration and implementation work focused on analytics and automation capabilities, applying Entrata Layered Intelligence to instrument property-level operational signals, automate routine leasing and site workflows, and generate AI-assisted leasing content and summaries for property teams.
Operational coverage spans Mountain States Property Management's Intermountain West portfolio, with deployment targeted at site-level property teams and leasing staff. The Entrata operating system centralizes tenancy, leasing, and operations data within Entrata analytics and automation modules, enabling consolidated reporting and local execution of Entrata Layered Intelligence driven recommendations.
Governance centered on platform-level orchestration, aligning site processes to Entrata OS workflows and Entrata Layered Intelligence decisioning, and establishing a single operational backbone for analytics and automation. The stated implementation objective is to drive site-level efficiency and to leverage Entrata analytics and automation for operations and leasing, with configuration and operational tuning expected to continue as Entrata enhances AI capabilities.
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