Case Studies

How we've helped teams release faster, launch AI safely and stay online when it matters most.

Fintech

Regression automation for a consumer lending app

The challenge
Every release required four days of manual regression testing across web, iOS and Android. Releases slipped, and bugs still reached customers.
What we did
We mapped the highest-risk journeys (applications, identity checks, repayments) and built a Playwright and Appium suite of 320 tests running in their CI pipeline, backed by targeted exploratory testing each sprint.
Results
  • Regression time cut from 4 days to 3 hours
  • Release cadence moved from every two weeks to weekly
  • Production defects reported by customers down 60%

Healthcare SaaS

Evaluating a patient-support AI assistant

The challenge
A patient-facing AI assistant was ready to launch, but the team had no way to measure whether its answers were accurate or safe.
What we did
We built a 400-prompt evaluation set with a clinical-safety rubric, red-teamed the assistant for prompt injection and data leakage, and set up an automated eval pipeline that runs on every prompt or model change.
Results
  • Out-of-scope medical advice reduced from 9% of test responses to under 1%
  • Two data-exposure paths found and fixed before launch
  • Eval suite now gates every AI release

E-commerce

Load testing an online store before peak season

The challenge
Traffic during the previous year's holiday sale had taken the store offline for most of an afternoon.
What we did
We modeled peak-season traffic with k6, ramped to five times normal load, and worked with their developers to trace and fix each bottleneck, starting with database connection pool exhaustion at 2.5 times normal traffic.
Results
  • Store handled 5x normal traffic in testing
  • Zero downtime through the following peak season
  • Checkout page response times improved by 40%

What clients say

"Our regression cycle went from four days to three hours. We release weekly now, and our support queue is noticeably quieter."

VP of Engineering, consumer lending company

"They gave us a way to actually measure our AI assistant instead of hoping it was fine. We launched with real confidence."

Head of Product, healthcare SaaS company

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