Software Testing and QA Services

Bugs in production cost more than bugs in sprint in terms of engineering time, customer trust, and the release you had to roll back. We provide the QA layer most teams don't have the headcount to build: manual testers, automation engineers, and the coverage to tell you what actually works before your users do.

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Trusted by Clients Across the Globe

Our Software Testing Services

From early requirement reviews to post-release regression, our QA engineers test every layer of your software. We combine manual expertise with automation and AI-assisted testing to help you release faster, with fewer defects and greater confidence.

Functional Testing

Verifying every feature, workflow, and business rule is working exactly as intended. Our testers validate user stories, edge cases, and end-to-end scenarios across web, mobile, and desktop applications before every release.

Test Automation

We build scalable automation frameworks using Playwright, Cypress, Jest, and React Testing Library. Automated test suites run within your CI/CD pipeline, cutting regression time, increasing test coverage, and enabling faster, more frequent releases.

Performance & Load Testing

Real-world traffic simulations show how your application performs under normal, peak, and stress conditions. Load, stress, and scalability testing uncovers bottlenecks early, so your system stays fast and stable as usage grows.

Security Testing

We identify vulnerabilities before attackers do. Through penetration testing, vulnerability scanning, and code-level security reviews aligned with OWASP standards, we protect your application, user data, and business from breaches and compliance risks.

Mobile App Testing

Native, hybrid, and cross-platform apps are tested across real devices, screen sizes, and OS versions. From installation and performance to battery usage and network conditions, every user gets a consistent, reliable experience.

UI & Usability Testing

Great software should look right and feel effortless. Using Storybook for component-level testing, our testers review visual accuracy, accessibility, layouts, and user journeys to deliver interfaces that improve adoption and satisfaction.

API Testing

Reliable integrations depend on reliable APIs. We validate functionality, performance, and security using Playwright and Cypress to automate API checks, ensuring your services and third-party connections exchange data accurately and consistently.

Compatibility & Regression Testing

We make sure new releases never break existing features. Automated regression suites, cross-browser checks, and data validation confirm your application works smoothly across browsers, devices, and operating systems with every update.

AI-Powered Testing

AI features like chatbots, recommendations, and LLM integrations need testing for accuracy, bias, and reliability. Our QA engineers also use AI-assisted tools to generate test cases, prioritize risks, and accelerate test execution.

Testing AI Features and Non-Deterministic Systems

Conventional test assertions expect the same input to produce the same output. AI features break that assumption, which is why teams shipping their first LLM-powered capability often find their existing QA process has nothing to say about it. We build evaluation frameworks for systems that answer differently every time.

Evaluation Sets Instead of Assertions

Instead of pass/fail checks, a curated set of real user questions with agreed acceptable answers is scored on every release. You get a quality score that moves, showing whether your AI is improving.

Retrieval Accuracy Testing

For RAG systems, we measure whether the right source passages are retrieved before anything reaches the model. Most “the AI gave a bad answer” problems are really retrieval problems in disguise.

Hallucination and Grounding Checks

Every response is checked against the retrieved sources to confirm it is grounded in evidence. When information is missing, the system should decline to answer rather than invent one, and our tests confirm it does.

Agent Behaviour and Tool-Use Testing

Agentic systems need testing on the unhappy paths. What happens when a tool call fails, an API times out, the agent gets stuck in a loop, or it attempts an action outside its permitted scope?

Prompt and Model Regression Testing

Prompt edits and model upgrades can change behavior silently. Running the evaluation set against every change catches quality drift before release, so issues are found by your QA team, not reported by users.

AI Safety and Adversarial Testing

AI systems face risks traditional software never did. Adversarial testing probes for prompt injection, jailbreak attempts, data leakage, and biased outputs, so your AI behaves safely and responsibly even when users try to misuse it.

Benefits of Our QA & Testing Services

Quality assurance is more than finding bugs. It protects your release schedule, your users, and your reputation. Here is how our QA and testing services create measurable value across your software delivery lifecycle.

Faster Time to Market

Automated testing within your CI/CD pipeline dramatically shortens regression cycles. Your team gets faster feedback on every code change, so new features reach users sooner without compromising quality or stability.

Lower Cost of Defects

Defects caught early cost far less to fix than issues found after launch. Testing from the requirements stage onward reduces rework, prevents expensive production failures, and keeps your development budget under control.

Fewer Production Issues

Thorough functional, regression, and compatibility testing stops critical bugs before they reach your users. Fewer production incidents mean less firefighting, lower support costs, and more time for your team to build new features.

Better User Experience

Users expect software that works smoothly on every device. By validating performance, usability, and accessibility, we help you deliver fast, intuitive experiences that build trust, improve retention, and drive positive reviews.

Stronger Security & Compliance

Security testing aligned with OWASP standards protects sensitive data and reduces the risk of breaches. For regulated industries like healthcare and finance, our QA processes also help you meet compliance requirements.

Data-Driven Release Decisions

We back every release with clear test reports, coverage metrics, and defect tracking. Stakeholders get full visibility into quality at each stage, so go-live decisions are based on data rather than guesswork.

Don’t Let Bugs Reach Your Users

Our QA & Testing Process

Quality is built in from the first requirement. Our structured QA process runs alongside your development cycle, so issues are caught early and every release goes out tested, measured, and ready.

Requirement Analysis

Every engagement starts with a close review of your requirements, user stories, and acceptance criteria. Early analysis uncovers gaps, ambiguities, and testability issues before a single line of code is written or tested.

Test Planning & Strategy

Based on your goals, timelines, and risk areas, we define the test scope, approach, environments, and tools. A clear test strategy sets the right balance between manual testing, automation, and AI evaluation.

Test Design & Environment Setup

Detailed test cases cover functional flows, edge cases, and negative scenarios. Automation scripts are built with Playwright, Cypress, and Jest, while realistic test data and environments mirror real-world usage as closely as possible.

Test Execution & Defect Reporting

Manual and automated tests run across browsers, devices, and APIs, with performance and security checks where needed. Every defect is logged with clear steps, severity, and evidence so developers can fix it quickly.

Regression & Continuous Testing

Fixed defects are re-tested and full regression suites confirm nothing else broke. Automated tests then run with every build in your CI/CD pipeline, keeping quality consistent across all sprints and releases.

Reporting & Continuous Improvement

Clear reports on test coverage, defect trends, and release readiness give stakeholders full visibility. After go-live, we keep refining test suites and processes so quality improves with every release cycle.

Strive for the best with our quality assurance and software testing services

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Case Studies & Success Stories

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Prima Chemicals: A Claude-Powered Assistant Over Three Plants’ ERP Data

Loan Management Software

Custom Order Management System

Industry-Focused QA & Testing Services

Every industry has its own users, regulations, and failure points. Our QA engineers bring domain knowledge to every engagement, designing test strategies around the workflows, compliance needs, and quality standards that matter most in your sector.

Real Estate

FinTech

Healthcare

Logistics and Supply Chain

Wellness & Fitness

On Demand

Technical Expertise

OpenAI

Hugging Face

LangChain

Qdrant

OpenAI GPT

Claude

Gemini

AWS S3

PostgreSQL

Docker

Kubernetes

Amazon ECS

Why Choose TOPS for QA & Testing Services?

Choosing a QA partner means trusting someone with your release quality and your users’ experience. Here’s why businesses rely on TOPS to test their web, mobile, and AI-powered applications.

QA Backed by Engineering Expertise

As a full-service software company with 250+ engineers, our QA team understands how software is built, not just how it breaks. Testers work closely with developers to find root causes and resolve issues faster.

Specialists in AI Testing

Few QA teams know how to test systems that answer differently every time. Our engineers build evaluation sets, grounding checks, and agent testing for LLM-powered features, backed by hands-on experience as Claude-certified developers.

Modern Automation Stack

Playwright, Cypress, Jest, and React Testing Library power automation suites that plug directly into your CI/CD pipeline. The result is faster feedback, broader coverage, and test assets your team can maintain long after delivery.

Cross-Industry Domain Knowledge

Healthcare, retail, logistics, hospitality, education, and enterprise projects each bring unique workflows and compliance demands. That domain experience helps us design test scenarios that reflect how your users actually work.

Flexible Engagement Models

Need a dedicated QA team, on-demand testing support, or a one-time audit before launch? We offer flexible engagement models that scale with your release schedule, so you only pay for the testing capacity you need.

Seamless Team Integration

Our testers join your sprints, stand-ups, and tools like Jira and Slack, working as an extension of your team. You get a dedicated QA point of contact, regular updates, and complete visibility at every stage.

Client Testimonial

Real Words, Real Success

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Dealing with TOPS Infosolutions has been a pleasure. They are quick to respond and act on all our requests and have always met any deadlines we have had. Would absolutely recommend there services to anyone.

Neisha Rushton

I have been working with TOPS for nearly six years. My number one go to people for creating and maintaining my own creative projects.

Ian Jones

I sincerely thanks TOPS and the team for the wonderful application they have developed for me. I will be keeping in touch with them to do more projects in the future.

Brett Susan

The team of TOPS, is very responsive and cooperative. I am always willing to work for last minute changes.

Bo H

Always accommodating to my concerns and needs. Positive and responsive to my ideas. Responsible in getting every task done.

CaterLocator

This project has been a moving target due my client’s demands. TOPS has been flexible and consistent on their delivery of an excellent solution. Thanks!

Michael

If you need a custom software solution for your business look no further than TOPS. If you have idea, they strive to implement it. It is always challenge to go from raw product to baked solution, but TOPS made it easier. I have dealt with many developers and have had several custom software programs developed, but I must say that TOPS clearly sits at the Top.

Wilton Taylor

We have worked with TOPS for almost 1.5 years straight and we do not see any end to the relationship. If you need any project at a fair price and good support after completion, then look no further and contact team of TOPS.

Shawn Sommer

Even though it took longer than expected, they were great with communication which I thinks is #1 for our company.

Sean

Frequently Asked Questions

Is your question not here? No Problem, We're waiting for you with more answers! Do not hesitate to contact us if your inquiry was not included in the list.

What do software testing and QA services include?

Typically manual functional and regression testing, test automation, API testing, performance and load testing, security testing, and accessibility audits. What a given engagement includes depends on your product’s risk profile — a payments platform and a content site need very different coverage.

How much do QA services cost?

Cost is driven by scope and model rather than a per-test rate. A dedicated QA engineer is a predictable monthly cost; a project-based engagement is priced on scope; a QA audit is a fixed short engagement. The variables that move the number are the number of platforms, how much automation exists already, and whether regression runs every sprint or every quarter.

Should we use manual or automated testing?

Both, in different places. Automate stable paths that run frequently — regression, smoke, API contracts. Keep humans on exploratory testing, usability, and anything changing week to week. Teams that automate everything end up maintaining a suite that fails for the wrong reasons; teams that automate nothing spend every release re-running the same checks by hand.

How many QA engineers do we need?

It depends on release cadence and surface area far more than on team size. A common starting point is one QA engineer per three to five developers for a product with continuous releases, but a QA audit will give you a defensible answer for your situation rather than a ratio from an article.

Can you work with our existing tools and process?

Yes. We work in your Jira, your CI pipeline and your test management system rather than asking you to adopt ours. If you have an automation framework already, we’d generally rather repair and extend it than replace something your team knows.

How do you test AI features that give different answers each time?

With evaluation sets rather than fixed assertions: a curated set of real inputs with agreed acceptable outputs, scored on every release. For retrieval-based systems we also measure whether the correct sources are being retrieved, since most poor answers are retrieval failures rather than model failures.

What does a QA audit involve?

A short assessment of your current coverage, defect history, release process and automation state, producing a prioritised list of gaps ranked by risk. It’s the lowest-commitment way to find out what you actually need before committing to an ongoing engagement.

Do you provide testing for accessibility compliance?

Yes — WCAG 2.2 Level AA audits covering screen reader behaviour, keyboard navigation, contrast and focus management. Automated scanners catch roughly a third of accessibility issues, so manual testing with assistive technology is a necessary part of it.