Quality Assurance & Testing
Find the Bugs Before Your Customers Do
We test across functionality, automation, performance, security, APIs and usability to catch issues early. Our QA team integrates into your workflow and delivers clear, actionable reports.
- Manual & Automated
- OWASP-Aligned Security
- Load & Stress Tested
- Release-Ready Sign-Off
What We Test
One QA team, six testing disciplines
Most QA problems start with treating testing as one step tacked on before launch. We cover the full range instead, from exploratory manual checks to scripted automation, load testing, security audits, API validation, and real-user usability sessions.
Manual Testing
Testers who work through your product the way a real user would: exploratory sessions, edge cases, regression passes, and bug reports detailed enough to reproduce on the first try.
Learn moreAutomated Testing
Suites that run against every build, so a regression gets caught the same day it's introduced instead of after it ships. We build, maintain and extend the automation layer as your codebase grows.
Learn morePerformance & Load Testing
We push your application to realistic and peak-load conditions to find exactly where it slows down, where it breaks, and where the real ceiling is. You get numbers, response times, throughput, error rates, not estimates.
Learn moreSecurity Testing
Structured assessments covering injection flaws, authentication gaps, exposed data, broken access control, and risky dependencies. We follow OWASP standards and hand back a prioritised list of what to fix first.
Learn moreAPI Testing
Every endpoint checked for correct behaviour, error handling, auth, rate limiting and data integrity. REST and GraphQL tested on their own and as part of full end-to-end flows.
Learn moreUsability Testing
Sessions with real, representative users to find exactly where your interface causes hesitation or drop-off. Findings mapped to specific screens, with severity ratings and what to do about them.
Learn moreDeliverables
Documented QA, not verbal reassurance
Every engagement comes with paper trail, not just a "looks good to me." Before release you get test plans covering scope and risk, test cases written against your actual requirements, and bug reports with reproduction steps and severity ratings attached. We work inside whatever you already use, Jira, Linear, Notion, or GitHub.
Talk to Our QA Team- A written test plan and strategy, before testing starts
- Manual test case creation and execution
- Automated regression suites, built and maintained
- Test integration into your CI/CD pipeline
- Performance benchmarking and load testing
- Security vulnerability assessment against OWASP
- API endpoint validation and contract testing
- Cross-browser and cross-device compatibility checks
- Usability sessions with actual users
- Bug reports detailed enough to reproduce first time
- Post-fix verification and regression re-runs
- An ongoing QA retainer for every release
Tools & Frameworks
What our QA stack looks like
We pick the tool to fit the problem, never the other way around. These are the frameworks, platforms and services behind our QA practice, from scripting automated suites to running security audits and load simulations.
- Selenium
- Playwright
- Cypress
- Jest
- Pytest
- Postman
- Newman
- REST Assured
- Apache JMeter
- k6
- Locust
- Burp Suite
- OWASP ZAP
- Grafana
- Datadog
- Hotjar
- BrowserStack
- Sauce Labs
- GitHub Actions
- GitLab CI
- Jira
How We Work
QA embedded through the whole cycle
Good testing isn't a single stage tacked on before go-live. We plan what to test early, build automation alongside the code, and run a final verification pass before every release. Seven steps, each with something you can actually see and review.
- 01
Scope & Risk Assessment
We review the application, flag the highest-risk areas, and agree on what needs testing, how deeply, and in what order. You get a written test strategy before we touch anything.
- 02
Test Plan Creation
Detailed plans covering functional, regression, performance, security and usability requirements, each one mapped to your actual acceptance criteria, not a generic checklist we reuse for everyone.
- 03
Test Case Development
Manual test cases and automation scripts written against the agreed plan, structured for reuse across future releases, and reviewed before execution starts.
- 04
Test Execution
Manual exploratory and scripted runs alongside automated suite execution. Every finding lands in your issue tracker with severity, reproduction steps, and evidence attached.
- 05
Defect Management
Bugs triaged by severity and assigned out. We verify each fix in isolation, then retest the surrounding area to catch anything the fix might have broken.
- 06
Performance & Security Runs
Load simulations and security assessments run in a controlled environment. You get a structured report with benchmarks, failure thresholds, and a ranked list of what to fix.
- 07
Release Sign-Off
A final regression pass before deployment. We confirm every critical and high-severity issue is resolved and hand over a written readiness summary your team can use for sign-off.
Why WebNX
We report to outcomes, not a pass-rate percentage
A 98% pass rate means nothing if you tested the wrong things. We focus on the risks that actually matter to your business: the flows your customers rely on, the data your operations depend on, and the failure points that would cost the most to fix once they're live.
Get a Free QA Audit-
We sit inside your dev cycle, not after it
We work alongside your developers through the sprint, not just at the end of it. Test cases get written as features get built, so defects are caught the same week they're introduced.
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Automation that doesn't rot after we leave
Scripts from a QA team that walks away are often abandoned within months. We document every suite, write for maintainability, and stay on for support so the automation keeps paying off.
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Reports the whole team can actually act on
Bug reports come with reproduction steps, screenshots or recordings, environment details, and severity ratings. Performance and security reports come with raw numbers, not vague summaries.
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Security testing a scanner alone would miss
Automated scanners catch known patterns. We pair that tooling with manual analysis of business logic, auth flows, and access control rules, the stuff a scanner would sail straight past.
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We test the paths that make you money first
Checkout, onboarding, account management, data export, whatever your revenue actually runs through gets tested end-to-end before we ever move on to edge cases.
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Overlap hours that work for you, not against you
Three to four hours of daily overlap with US, UK and Canada time zones means bug triage and release-day support happen during your working day, not the next morning.
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No last-minute surprises before a release
Blockers get flagged the moment we find them, not buried in a report the day before launch. If something critical turns up mid-cycle, you hear about it that same day.
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One team, all six disciplines
Manual, automated, performance, security, API and usability testing, all under one engagement with one team. No juggling three vendors or reconciling three sets of conflicting reports.
Questions, answered
QA & testing, honestly explained
What does a QA engagement actually cost?
A focused manual testing engagement typically costs ₹50,000 to ₹2,00,000, while automation projects can range from ₹1,50,000 to ₹5,00,000+. Ongoing QA retainers vary by testing scope and support needs. Every engagement is scoped and quoted in writing before work begins.
Should QA happen at the end of a project, or all the way through?
All the way through, ideally. QA embedded from the start means test cases go in alongside features, defects get caught early, and fixing them costs a fraction of what a post-release fix does. That said, we also handle standalone pre-launch cycles and post-release audits when that's what's needed.
Can you write and maintain automated tests for a codebase that already exists?
Yes. We audit the codebase first, decide which flows are worth automating first, and build the suite incrementally from there. Everything is documented and version-controlled, so your own developers can pick it up after we hand over.
How is your security testing different from a standard vulnerability scan?
Scanners find known patterns: outdated dependencies, common injection points, missing headers. They miss logic flaws, broken access control between roles, and business-layer vulnerabilities that are unique to your application. We combine tool-based scanning with manual analysis of your actual application logic to catch the rest.
How does performance testing work, and what do we get out of it?
We define load scenarios with you first, concurrent users, traffic spikes, sustained load, then run simulations that match how people actually use your product. You get response time percentiles (p50, p95, p99), throughput rates, error rates under load, and the exact point where things start to degrade.
How long does a full QA cycle take before we can release?
A focused pre-release regression cycle usually takes three to seven business days. A fuller engagement with automation, performance and security testing runs two to six weeks. We scope it precisely in the test plan so it fits your release schedule, not the other way around.
Do you only work with in-house teams, or offshore ones too?
Both. In-house teams, distributed teams across time zones, and agencies or studios that need a QA function without hiring one in-house. We plug into whatever's already in place, Jira, Linear, Slack, Notion, whatever your team uses.
What happens once the engagement wraps up?
Most clients move onto an ongoing QA retainer, covering regression runs before each release, upkeep of the automation suite as the codebase changes, and ad hoc testing for new features as they ship.
Ready to ship software you're actually confident in?
Tell us what you're building, where you are in the cycle, and what's been keeping you up at night. We'll tell you what needs testing, how we'd approach it, and what it costs, usually within one business day.