We detected 9,160 customers using Workleap, 162 companies that churned or ended their trial, and 76 customers with estimated renewals in the next 3 months. The most common industry is Software Development (10%) and the most common company size is 51-200 employees (30%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Workleap
Workleap provides an AI-powered talent management platform that helps HR teams boost employee engagement, drive performance management, and run smart compensation programs. The system complements existing HRIS by filling gaps with tools including engagement surveys, recognition, performance reviews, growth plans, and compensation analytics with market data.
🔧 What other technologies do Workleap customers also use?
Source: Analysis of tech stacks from 9,160 companies that use Workleap
Commonly Paired Technologies
i
Shows how much more likely Workleap 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 Workleap users are enterprise-scale companies with sophisticated employee experience and security needs. The heavy presence of tools like Okta and OneLogin (both identity management platforms) alongside survey tools like Qualtrics and Survey Sparrow tells me these are large organizations obsessed with measuring and improving their internal operations. They're managing hundreds or thousands of employees and need enterprise-grade infrastructure to do it.
The pairing of Qualtrics with Workleap makes perfect sense. Companies investing in Workleap for employee engagement are also using Qualtrics to run comprehensive feedback programs across their workforce. They're not just checking boxes on HR requirements. They're genuinely trying to understand employee sentiment at scale. Similarly, the Docker Hub correlation suggests these companies have substantial engineering teams running containerized applications, which means they're technology-forward organizations with complex deployment needs.
Looking at the full picture, these are product-led or engineering-led companies in growth or mature stages. The Adobe Audience Manager presence indicates many have significant customer bases requiring sophisticated marketing operations. The identity management tools combined with Docker Hub point to security-conscious organizations with distributed technical teams. They're likely Series B and beyond, or established enterprises undergoing digital transformation. They have dedicated People Ops teams with real budgets and executive buy-in for employee experience initiatives.
👥 What types of companies is most likely to use Workleap?
Source: Analysis of Linkedin bios of 9,160 companies that use Workleap
Company Characteristics
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Shows how much more likely Workleap 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
Funding Stage: Series C
33.4x
Funding Stage: Post IPO debt
30.6x
Funding Stage: Private equity
16.7x
Company Size: 1,001-5,000
8.5x
Company Size: 5,001-10,000
6.3x
Company Size: 10,001+
6.0x
I noticed that Workleap's customers span an incredibly diverse range of industries, but they share common operational characteristics. These companies are builders and service providers: construction firms managing complex projects, financial institutions processing transactions, healthcare organizations delivering patient care, hospitality groups running hotels and resorts, retailers operating store networks, and manufacturers producing everything from chemicals to furniture. What unites them is that they all manage distributed workforces delivering tangible products or services to end customers.
These are predominantly established, mature organizations rather than early-stage startups. The employee counts tell the story: while a few have under 50 employees, most fall in the 50-500 range, with many exceeding 1,000. Several are publicly traded or backed by private equity. They reference decades of history, with many founded in the 1980s, 1990s, or early 2000s. They operate multiple locations, serve thousands of customers, and manage complex operations that require coordination across teams and geographies.
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