Build Better Software. Release With Confidence.

Qanovix combines software development, quality engineering, intelligent automation and data validation to help organizations build reliable software and release faster with confidence.

BuildTestAutomateReleaseScale

Qanovix release pipeline An illustration of a software change moving through five stages — code, test, automate, validate and release — each fed by APIs, AI, CI/CD, data and cloud, and each passing its quality check before release. Release pipeline main Code Commit, review, merge queued APIs passed Test Unit, API, integration queued AI passed Automate Regression suite in CI queued CI/CD passed Validate Data and accessibility queued Data passed Release Quality gate, deploy queued Cloud passed All checks passed. Ready to release.

Software Problems Become Business Problems.

Every defect, delay and data error has a cost that shows up somewhere else: in support tickets, missed launches, lost customers and decisions made on the wrong numbers.

  • Production defectsCustomers find the bugs, and support absorbs the cost.
  • Slow releasesFeatures wait weeks for a testing window.
  • Manual regression testingSkilled people repeat the same checks every release.
  • Unreliable dataReports disagree, and decisions stall.
  • Integration failuresSystems that work alone break when connected.
  • Legacy applicationsEvery change is risky, so nothing changes.
  • Accessibility issuesSome users simply cannot complete the task.
  • Disconnected dev and QAHandoffs create delays, rework and blame.

Qanovix brings development and quality engineering together so quality isn't something checked at the end — it's engineered from the beginning.

Traditional

Testing waits until the end, so problems surface when they are most expensive.

  1. Build
  2. Build
  3. Build
  4. Test
  5. Discover Problems
  6. Delay Release

Qanovix

Quality is checked at every step, so the release is the least surprising part.

  1. Design
  2. Build
  3. Test
  4. Automate
  5. Validate
  6. Release

Services that cover the whole lifecycle

Build new software, strengthen the software you have, and prove it works before your customers have to.

Web applications, SaaS platforms, portals and APIs built with testability designed in from the first sprint.

  • Custom web applications
  • SaaS platforms
  • Business applications
  • Customer portals
  • API development
  • System integrations
  • Application modernization
  • MVP development
Explore Development Services

A QA strategy and testing practice that finds defects while they are still cheap to fix, not after customers do.

  • Functional testing
  • Regression testing
  • Integration testing
  • End-to-end testing
  • Release validation
  • QA strategy
  • Test planning
  • UAT support
Explore Quality Engineering

Maintainable automation suites wired into your pipeline, so every merge is checked the same way, every time.

  • Web automation
  • API automation
  • Regression automation
  • Framework development
  • CI/CD integration
  • Selenium
  • Playwright
  • Cypress
Explore Automation

Prove that the numbers in your reports match the numbers at the source, through every transformation in between.

  • Database testing
  • ETL testing
  • Source-to-target validation
  • Data migration testing
  • SQL validation
  • Data reconciliation
  • Databricks testing
  • Data warehouse validation
Explore Data Quality

Manual and assistive-technology testing against WCAG and Section 508, with findings your developers can act on.

  • WCAG testing
  • Section 508 testing
  • Keyboard accessibility
  • Screen-reader testing
  • Accessibility audits
  • Remediation verification
Explore Accessibility

Practical AI features and workflow automation, built with the evaluation and guardrails needed to trust them in production.

  • AI-enabled applications
  • AI workflow automation
  • Business process automation
  • AI-assisted testing
  • LLM application validation
  • AI integration
Explore AI Solutions

Development and Quality. One Engineering Partner.

Most organizations hire developers from one vendor and testers from another, then manage the gap between them. We remove the gap.

Discuss Your Project
  • Development + QA expertise

    The people who build your software and the people who test it plan the work together.

  • Quality from the beginning

    Acceptance criteria and test approach are agreed before code is written.

  • Automation-first mindset

    Repeatable checks run in your pipeline, not on someone’s checklist.

  • Strong data-testing expertise

    Source-to-target validation and reconciliation that proves the numbers.

  • AI-assisted engineering

    We use AI to accelerate work, and people to review it.

  • Accessibility awareness

    Inclusive design and testing are part of our definition of done.

  • Transparent communication

    Plain-language status, visible risks and no surprises at release time.

  • Flexible engagement models

    Projects, ongoing QA, dedicated teams or a focused audit.

  • Business-focused solutions

    Technical decisions are explained in terms of cost, risk and speed.

The Qanovix Engineering Model

Eight stages, one continuous loop. Quality checks are built into every stage, so nothing waits until the end to be tested.

  1. Discover

    Understand goals, users, systems and risks before committing to a plan.

  2. Design

    Shape architecture, acceptance criteria and the test approach together.

  3. Build

    Develop in short iterations with unit and API tests alongside the code.

  4. Test

    Verify functionality, integrations and user journeys against real risk.

  5. Automate

    Turn stable, repeatable checks into suites that run on every change.

  6. Validate

    Confirm data accuracy, accessibility and release readiness with evidence.

  7. Release

    Ship through a clear quality gate with a documented go/no-go.

  8. Improve

    Review outcomes and defects, then refine the product and the process.

How Healthy Is Your Software?

Get an independent assessment of your application's quality, testing process, automation readiness, data risks and release practices.

  • No cost and no obligation
  • Written, prioritized recommendations
  • Reviewed by development and QA engineers
Get My Free Assessment

What we review

  1. Application QualityStability of key user journeys and known defect patterns.
  2. QA ProcessHow work moves from requirement to release, and where it stalls.
  3. Test CoverageWhich risks are covered today, and which are not.
  4. Automation ReadinessWhat is worth automating first, and at which level.
  5. API QualityContracts, error handling and integration resilience.
  6. Data QualityAccuracy and reconciliation risks in your data flows.
  7. AccessibilityHigh-impact barriers in your most important journeys.
  8. Release RiskHow release decisions are made and what could go wrong.

Flexible Ways to Work With Qanovix

Start with the model that fits today. A focused audit or a single project is often a practical first step.

  • Project-Based Development

    For defined software initiatives.

    Fixed scope or phased delivery with clear milestones, acceptance criteria and a named point of contact.

  • QA-as-a-Service

    Ongoing quality engineering without building an internal QA department.

    A flexible QA capability that scales with your release schedule, from strategy to execution.

  • Dedicated Engineering Team

    Development and QA specialists integrated with your team.

    Engineers who join your ceremonies, tools and codebase, and work to your priorities.

  • Quality Audits

    Independent assessment of software quality, automation, data and accessibility.

    A time-boxed review with written findings and a prioritized improvement roadmap.

  • Ongoing Support

    Application maintenance, testing and release support.

    Bug fixes, dependency updates, regression testing and release help on a predictable plan.

How engagements typically unfold

These representative engagements describe common challenges and the approach we take. They are illustrative examples, not accounts of named clients. Read them in full.

Representative engagementData Quality

Source-to-Target Data Validation

Challenge
An organization moving reporting to a new data warehouse relied on spot checks of a few records to confirm each load. Differences between source systems and reports were discovered by business users, weeks after the fact.
Approach
Mapping documents were translated into executable SQL validations covering counts, completeness, transformation rules and totals at each layer. Checks were scheduled to run after every load, with results summarized for the data team.
Technologies
  • SQL
  • SQL Server
  • Databricks
  • Python
  • Azure DevOps
Business outcome
Differences are identified at the layer where they occur, before they reach reports, and migration sign-off is based on full reconciliation rather than samples.

Representative engagementTest Automation

Regression Automation Transformation

Challenge
A product team spent several days manually re-checking core workflows before every release. An earlier automation attempt had become flaky and was no longer trusted.
Approach
Automation candidates were prioritized by risk and frequency. Business rules moved to API-level tests, and a small, stable set of browser tests covered critical journeys. The suite was integrated into the CI pipeline with clear reporting.
Technologies
  • Playwright
  • TypeScript
  • REST APIs
  • Postman
  • GitHub
  • CI/CD
Business outcome
Core regression runs automatically on each change, testers focus on exploratory work, and the team can release on its own schedule rather than waiting for a test window.

Representative engagementSoftware Quality

Application Release Quality Improvement

Challenge
A customer-facing application saw recurring defects after releases. Testing happened late, requirements were loosely defined, and go/no-go decisions depended on individual judgment.
Approach
A QA strategy introduced acceptance criteria reviews, risk-based test planning, integration and end-to-end coverage, and a written release checklist with a quality summary for stakeholders.
Technologies
  • Azure DevOps
  • Selenium
  • Postman
  • SQL
  • JMeter
Business outcome
Defects are found earlier in the cycle, stakeholders see the same quality picture before each release, and release decisions are made on evidence.

Modern Technology. Practical Engineering.

We choose tools for fit, longevity and your team’s ability to own them after we hand over.

Development

  • Python
  • JavaScript
  • TypeScript
  • React
  • Node.js
  • .NET

Test Automation

  • Selenium
  • Playwright
  • Cypress

API

  • Postman
  • REST APIs
  • REST Assured
  • SoapUI

Data

  • SQL
  • SQL Server
  • PostgreSQL
  • Databricks

DevOps

  • Git
  • CI/CD
  • Azure DevOps
  • GitHub

Performance

  • JMeter
  • LoadRunner

AI

  • Claude
  • OpenAI
  • AI-assisted development and testing

Technology names are trademarks of their respective owners and are listed to describe the tools we work with. No partnership or endorsement is implied.

Software quality should not be an afterthought.

Qanovix was founded around that simple principle. We combine deep software quality experience with modern development, automation, data engineering and AI-assisted technology to help organizations build dependable digital products.

More about Qanovix
Mission
To help organizations build dependable software through disciplined engineering, intelligent automation and quality-first thinking.
Vision
To become a trusted technology partner for organizations that believe software quality directly impacts business success.
Values
  • Quality
  • Integrity
  • Innovation
  • Transparency
  • Continuous Improvement
  • Client Success

Let's Build Software You Can Trust.

Whether you're building a new application, improving an existing platform, modernizing your QA process or introducing automation, Qanovix can help.

Tell us about your project

Share a little context and we will come back with thoughtful questions, not a sales script.

  1. We read your messageAn engineer reviews the details, not an automated sequence.
  2. A short conversationWe ask about goals, constraints and what success looks like.
  3. A clear recommendationYou receive a written proposal or honest advice if we are not the right fit.

A few sentences on your goals, current situation and any deadlines.

Fields marked with an asterisk are required. We use your details only to respond to this request.