Quality Engineeringa multiplier, not a cost
Quality engineering is a multiplier, not a cost center. We achieved a 90% reduction in testing time on an award-winning platform — not by testing less, but by testing smarter through automation, so the team could ship faster with more confidence.
What we do
Full-spectrum capability, built for PropTech platforms and proven on real engagements.
Automated QA (AQA)
Integration, E2E, and load testing with Allure reporting and Selenide — automated wherever it compounds, visible across engineering and product.
Manual QA (MQA)
Smoke, regression, usability, and acceptance testing — exploratory depth where human judgement catches what automation can't.
Automated Release Candidate Pipeline
Every production deployment is gated on test outcomes, end to end — the practice behind a 99% success release ratio.
Testing ML & Probabilistic Systems
Multi-stream integration testing, regression suites under simulated provider degradation, and E2E coverage of full transaction lifecycles.
Load & Performance Testing
Validating behavior under peak volumes — essential for payment cascades and high-capacity real estate data platforms.
Defect Containment
Tracking what percentage of defects are caught before production, with detailed change logs and discovered/rediscovered bug tracking.
Quality measured from practice to business outcome
DORA-aligned metrics connect engineering practice to delivery flow to business value — quality you can see, not just claim.
90% less testing time — by testing smarter
On the platform that won the PropTech Germany Award, the QA team ran the full spectrum — smoke, regression, usability, acceptance, integration, E2E, and load — automated wherever possible, with Allure reporting for visibility across teams.
A fully automated release-candidate pipeline gated production deployments on test outcomes. The result was a 90% reduction in time spent on testing while maintaining high-quality results.
When quality is automated, it compounds: each new suite protects against regressions in all previous functionality, and the team's ability to ship safely increases with every release cycle.
Best practices we apply
The principles behind the outcomes — learned by delivering, not theorizing.
Test smarter, not less
The 90% time reduction came from automation, not cutting coverage. Automate the repeatable, reserve human judgement for the exploratory.
Gate production on outcomes
A fully automated release-candidate pipeline turns quality from a phase into a continuous property of the delivery system.
Measure with DORA
Deployment frequency, lead time, change failure rate, and MTTR tie test quality to delivery performance the business actually feels.
Track defect containment
Knowing what share of bugs are caught before production turns quality into a number you can improve, not a feeling.
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