ZobliQA is Zoblik International's Software Quality Assurance practice for startups and growing software teams. We embed testing into every sprint - catching bugs before they reach production, hardening security before launch, and keeping performance stable long after go-live.
Quality isn't something we add at the end of a build - it's engineered in from the first line of code. Every practice below runs concurrently with development so issues are found when they're cheapest to fix.
For engineering leads and CTOs who need QA that fits how their team actually works - not a one-size-fits-all checklist dropped on top of a sprint midway through. We design a testing strategy around your codebase, your team size, and your release cadence.
A testing plan that maps to your release schedule - with clear coverage targets, tooling recommendations, and the milestones needed to reach a stable, shippable build.
Testing runs in parallel with development sprints - not after. Bugs are filed, prioritised, and resolved within the same two-week cycle, so defects never pile up before a release.
For teams shipping new features every sprint who can't afford regressions in stable functionality. We build coverage across every layer - unit, integration, end-to-end, and load - so nothing falls through the gap between what was tested and what users actually do.
Automated regression suites catch known failure paths instantly on every commit. Manual exploratory testing finds the unpredictable edge cases and UX issues that scripts miss.
Load, stress, and soak tests that simulate real-world usage spikes - identifying the exact point where your system slows, degrades, or fails before your users discover it.
For product teams who've learned the hard way that bugs found post-deployment cost ten times more to fix than bugs caught during development. We shift quality left - detecting issues at the code review stage, not the customer complaint stage.
Static analysis, code coverage gates, and pre-merge test runs that flag problems in development - before they become incidents your on-call team handles at 2am.
Post-launch observability dashboards that track error rates, latency, and user-impacting failures in real time - with alerting configured to catch anomalies before they affect your SLA.
For engineering teams spending too many hours on repetitive manual regression cycles. We design and implement automation frameworks that run in your CI/CD pipeline - giving you fast feedback on every commit without adding headcount to your QA team.
We select and build automation frameworks - Playwright, Selenium, Cypress, or API-level tools - matched to your stack, not whatever we're most comfortable with.
ML-assisted test generation and predictive failure analysis - identifying which areas of your codebase carry the highest risk so testing effort goes where it matters most.
For product owners and founders who want visibility into QA - not a black box that returns a pass/fail verdict two weeks before launch. We share live defect dashboards, hold structured review sessions, and keep your dev and QA teams working from the same information.
Joint sessions between your dev, product, and QA teams to align on test scope, review edge cases together, and agree on the definition of "done" before a sprint closes.
Weekly defect summaries and real-time dashboards showing open bugs by severity, test pass rates, and coverage trends - so you always know the true health of your release.
ISO 9001:2015 certified. Product company mindset. Quality assurance built in Pune, India for teams that can't afford a bad release - and won't settle for one.