We detected 84 customers using Qase. The most common industry is Software Development (34%) and the most common company size is 201-500 employees (26%). Our methodology involves monitoring new entries and modifications to company DNS records.
Note: Our data specifically only tracks Qase Enterprise users.
About Qase
Qase provides enterprise-level security, customizations, and support for teams of 20+ users, including advanced capabilities like Single Sign-On (SAML 2.0), SCIM user provisioning, dedicated cloud installation, custom domains, data residency options, and a dedicated Customer Success Manager with premium support.
Transportation, Logistics, Supply Chain and Storage4 (5%)
Travel Arrangements4 (5%)
Banking3 (4%)
📏 Company Size Distribution
201-500 employees21 (26%)
1,001-5,000 employees16 (20%)
51-200 employees16 (20%)
501-1,000 employees12 (15%)
11-50 employees7 (9%)
🔧 What other technologies do Qase customers also use?
Source: Analysis of tech stacks from 84 companies that use Qase
Commonly Paired Technologies
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Shows how much more likely Qase 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 Qase users are fast-growing B2B SaaS companies with strong technical foundations and sophisticated go-to-market operations. The combination of advanced development tools like Docker Business and Cursor alongside enterprise sales and success platforms like Gainsight and Chili Piper tells me these are companies scaling both their product and their revenue teams simultaneously. They're building complex software products while professionalizing their sales motion.
The pairing of Docker Business with Qase makes perfect sense. Companies running containerized infrastructure need robust testing frameworks to maintain quality across distributed systems. When I see Cursor appearing 422 times more often, it suggests these teams are also adopting AI-assisted development tools, which means they're moving fast and need Qase to prevent that speed from creating quality issues. The presence of Gainsight is particularly telling because it shows these companies have reached the scale where customer success needs dedicated tooling. They're not just acquiring customers, they're systematically managing retention and expansion.
The full picture reveals a sales-led growth model at the expansion stage. These companies have product-market fit and are now scaling their go-to-market engine. Chili Piper handles meeting scheduling for active sales teams, while Gainsight manages the growing customer base. Meanwhile, Claude for Work and Cursor show engineering teams using cutting-edge AI tools to maintain velocity. This isn't an early-stage startup figuring things out or a massive enterprise moving slowly. These are companies in that critical phase between Series B and D, probably 100 to 500 employees, where both product complexity and customer expectations are rising fast.
👥 What types of companies is most likely to use Qase?
Source: Analysis of Linkedin bios of 84 companies that use Qase
I noticed that Qase users span a remarkably diverse range of industries, but they share a common thread: they build digital products that matter. These are companies creating software platforms, financial services, gaming experiences, and technology-driven solutions. Whether it's Incode's identity verification, Hopper's travel fintech, Playrix's mobile games reaching 120 million monthly players, or isolved's HR platform serving 8 million employees, these companies are in the business of delivering reliable digital experiences at scale.
My analysis shows these are predominantly growth-stage and mature companies. The employee counts tell the story: I see many in the 200-1,000 range, with several exceeding 1,000 employees. Many have reached Series B funding or beyond, with companies like Qualtrics, ID.me, and Flock Safety raising substantial rounds. Even the smaller companies like Buoy Software or Capio describe ambitious platforms and global reach. These aren't early experiments, they're scaling operations serving real customers.
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