Customer success stories

Discover how engineering teams across industries are using Primates to ship faster, catch more bugs, and build confidence in every release.

FinFlow Capital Fintech

FinFlow Capital

500 employees

FinFlow Capital's engineering team was spending 60% of every sprint cycle on manual regression testing, leaving barely any room for new feature development. As a regulated financial services company, every code change required exhaustive testing across payment processing, compliance reporting, and real-time fraud detection modules. The team of 45 engineers was burning out, and deployment frequency had dropped to once every three weeks.

73%
Testing Time Reduction
8x increase
Deployment Frequency
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MediTrack Health Healthcare

MediTrack Health

2,000 employees

MediTrack Health needed to achieve and maintain HIPAA compliance across their electronic health records platform while shipping new features weekly. Manual compliance testing required a dedicated 8-person QA team and still left dangerous gaps in PHI (Protected Health Information) handling validation.

100%
Compliance Coverage
85% reduction
Audit Preparation Time
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ShopWave Commerce E-commerce

ShopWave Commerce

150 employees

ShopWave Commerce was experiencing a surge in customer-facing bugs during peak shopping seasons, with critical checkout flow issues slipping past their small QA team. The company's rapid feature development pace meant that manual testing could only cover 20% of critical user paths before each release.

340% increase
Bugs Caught Pre-Release
+12% improvement
Checkout Conversion Rate
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EduSpark Academy Education

EduSpark Academy

80 employees

EduSpark Academy's small engineering team of 12 developers was struggling to maintain quality across their learning management system as the platform rapidly expanded to support new content types, assessment formats, and accessibility requirements. Regression bugs in grading logic and content rendering were eroding trust with school district clients.

96%
Regression Test Automation
99.97%
Grading Accuracy
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