We detected 449 companies using EliseAI. The most common industry is Real Estate (90%) and the most common company size is 51-200 employees (29%). We find new customers by discovering URLs with known URL patterns through web crawling or certificate transparency logs.
Note: We track companies that use EliseAI for property management for prospect management + CRM
๐ Who usually uses EliseAI and for what use cases?
Source: Analysis of job postings that mention EliseAI (using the Bloomberry Jobs API)
Job titles that mention EliseAI
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Based on an analysis of job titles from postings that mention EliseAI.
Job Title
Share
Property Manager
18%
Leasing Consultant
15%
Director of IT/Systems
12%
Technology Specialist
10%
I noticed that EliseAI buyers span both technology and operations leadership in multifamily property management. Directors of IT Operations and Business Systems (12%) are hiring for platform administration and vendor management, while property operations leaders like Regional Managers and VPs are making adoption decisions at the portfolio level. These buyers prioritize revenue optimization, occupancy management, and operational efficiency. They're building teams around centralized leasing models and technology enablement, signaling a shift from site-level to enterprise-wide AI adoption.
The day-to-day users are primarily property managers (18%) and leasing consultants (15%) who rely on EliseAI for resident communication, lead management, and leasing workflows. Technology specialists (10%) serve as the bridge, handling platform configuration, training site teams, monitoring adoption metrics, and troubleshooting issues. These practitioners use EliseAI alongside core systems like Yardi, managing everything from prospect follow-up to renewal outreach to maintenance requests. The tool appears to handle routine resident interactions while humans focus on exceptions and complex cases.
The overarching goal is scaling operations without proportionally scaling headcount. Companies describe wanting to "drive adoption," "reduce manual work," and "improve accessibility" through AI. One posting seeks someone to "ensure technology investments translate into consistent adoption and measurable results," while another emphasizes "proactive intervention" and "coaching that turns site staff into capable partners." Multiple roles mention monitoring "engagement data" and "adoption metrics," revealing that successful implementation requires ongoing change management, not just software deployment.
๐ฅ What types of companies use EliseAI?
Source: Analysis of Linkedin bios of 449 companies that use EliseAI
Company Characteristics
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Shows how much more likely EliseAI customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Real Estate
69.2x
Funding Stage: Debt financing
49.6x
Company Size: 1,001-5,000
11.2x
Company Size: 501-1,000
10.7x
Country: United States
7.4x
Company Size: 201-500
5.9x
I analyzed these 59 companies and found that EliseAI's typical customer operates in multifamily residential real estate. These aren't tech companies or SaaS businesses. They own, develop, and manage apartment communities. The majority are property management firms that handle the day-to-day operations of apartment buildings, from leasing and maintenance to resident services. Some are vertically integrated, meaning they also develop and construct properties in addition to managing them. A few focus on student housing specifically, but the core business model is consistent: they're landlords managing thousands of residential units.
These are established, mature enterprises. The employee counts range from 50 to over 10,000, with most falling between 200 and 2,000 employees. Many mention founding dates in the 1980s, 1990s, or early 2000s, indicating decades of operation. They manage portfolios worth hundreds of millions or billions of dollars. Very few show venture funding, these are private equity-backed or privately held real estate firms, not startups chasing growth at all costs.
๐ง What other technologies do EliseAI customers also use?
Source: Analysis of tech stacks from 449 companies that use EliseAI
Commonly Paired Technologies
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Shows how much more likely EliseAI customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that EliseAI serves a very specific niche: property management companies, particularly those operating at scale in the multifamily housing sector. The overwhelming presence of Yardi and Entrata, which are the two dominant property management software platforms, tells me these companies are managing apartment communities and need automated communication tools that integrate directly with their core operational systems. This isn't a horizontal SaaS play but rather a vertical solution deeply embedded in real estate operations.
The pairing of Yardi RentCafe with EliseAI makes perfect sense because RentCafe is the resident portal layer on top of Yardi's property management system. These companies need EliseAI to handle the high volume of prospective and current resident inquiries that come through digital channels. The presence of Domo suggests these are data-driven organizations tracking occupancy rates, leasing velocity, and operational metrics across multiple properties. Meanwhile, iCIMS and LinkedIn Promoted Jobs point to companies with significant hiring needs, which tracks with property management firms that need on-site staff at every location they manage.
The full stack reveals these are operationally complex, sales-focused organizations in growth mode. They're not product-led companies building software. They're managing physical assets at scale and dealing with constant resident turnover, which means their leasing teams are essentially always selling. The recruiting tools suggest they're actively expanding their workforce, likely opening new properties or growing their portfolio through acquisitions.
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