AI Testing Services for Robust Artificial Intelligence

Expert AI testing for you to deliver
trustworthy experiences

Ensure the high quality of your products by utilizing our AI software testing
services. QAwerk will help you focus on innovation, instead of putting out fires.

Hire Us

At QAwerk, we know that quality can make or break the success of any product. Here’s why testing AI isn’t optional, but essential.

Unlike traditional software, AI systems are data-driven, constantly learning, and often operate in unpredictable environments. AI quality assurance is all about validating the very foundation of your AI, ensuring it’s accurate, ethical, and performs as expected under any condition.

Deploying untested AI models, AI agents, or AI-powered apps is a risky gamble. With QAwerk, you’ll be able to test AI reliably, all while outpacing the competition with rapid software updates.

With AI Testing Without AI Testing Confidence in your AI product’s performance Unexpected app behavior Reduced risk of reputational damage Inaccurate
or biased outputs Faster time to market Security vulnerabilities and jailbreak attacks Peace of mind knowing your AI is well-tested Broken user trust

Our AI Testing Services

AI Agent Testing

We ensure your AI agents analyze massive datasets and execute all types of operations flawlessly. We test AI agents for logical responses, accuracy, and user satisfaction, so they don’t confuse or frustrate your audience.

LLM Testing

At QAwerk, we use rigorous methodologies to test AI models for bias, performance bottlenecks, and vulnerability to adversarial attacks. Leverage our AI model testing services to ensure superior accuracy, reliability, and fairness.

AI App Testing

When it comes to testing AI applications, we look at your entire ecosystem—frontend, backend, and integrations. Our goal is to catch hidden bugs, ensure swift performance, and keep users happily engaged.

Test Data Management

Need realistic test data? Our QA engineers utilize their expertise in AI/ML testing to help you define your test data requirements, validate data quality & integrity, and automate test data generation & preparation.

AI-Based Testing

We’ll help you bring AI into your QA workflows so you can release faster, test more, and reduce repetitive work. Our team reviews your current setup, identifies any bottlenecks, and sets up AI tools that fit your needs and goals.

Agentic AI Testing

We help you set up independent AI agents that handle your software testing from start to finish. By making your QA process smart and self-adjusting, you can catch more bugs, reduce manual work, and launch your products much faster.

LLM Evaluation

Every prompt or model change shouldn’t feel like a gamble. We create repeatable evaluation suites that score your AI for accuracy, faithfulness, and relevance, ensuring you have the hard evidence to launch updates confidently.

RAG Testing

Stop your AI from confidently inventing facts. We evaluate your RAG pipelines end-to-end to verify they retrieve the right documents. This ensures responses are strictly grounded in your source data, delivering reliable accuracy in production.

Selected Cases

Granola

Granola

United Kingdom
Ensured the rock-solid stability this AI notepad needed to reach a $1.5B valuation and expand into the B2B market
ClickHouse

ClickHouse

United States
Help maintain weekly releases and reliably deliver updates to Microsoft, IBM, and other top-tier clients
Penpot

Penpot

Spain
Helped this open-source & prototyping platform successfully go from beta to official release, now reaching over 250K users
Sitch

Sitch

United States
Delivered the rock-solid app quality this AI matchmaker needed to expand across the US and secure $6.7M in funding

Need reliable AI testing services?

Let’s Talk

Types of AI Testing

Edge Case Testing

Edge Case Testing

What happens when users input bizarre requests and unconventional data? We’ll help you design edge cases and test your AI software against boundary conditions to ensure it stays on track.

Performance Testing

Performance Testing

Our team will assist you in testing artificial intelligence under heavy loads to see if it stays quick and stable. Let’s be honest, nobody likes waiting for an AI response when it matters most.

Security Testing

Security Testing

We search for weak spots that potential hackers could exploit. Artificial intelligence testing will help you keep sensitive data safe and ensure compliance with privacy rules.

API Testing

API Testing

We provide thorough API testing to ensure seamless and secure communication between your AI components and external systems. We validate API functionality, performance, and security.

Integration Testing

Integration Testing

Your AI might rely on multiple services—our job is to confirm that they work flawlessly with other systems, databases, and services. That means no broken data flows or random system breakdowns.

Functional Testing

Functional Testing

Does your AI app perform as intended? We poke around every corner of your AI to confirm each feature does what it’s supposed to do. This helps you launch a product that meets user expectations, and works as advertised.

Why You Should Choose QAwerk

Deep Expertise

Since 2015, QAwerk has delivered expert software testing services across 300+ projects. With our years of experience in testing complex systems, we promise to ensure your AI is high-performing and reliable.

Senior AI Testers

Our team includes 30+ senior QA engineers with specialized training and deep experience in artificial intelligence testing. Work with seasoned professionals who expertly test AI models, agents, and applications.

AI Track Record

We’ve encountered and solved real-world AI testing challenges. We’ve tested an AI-driven platform for multi-variant testing, as well as hundreds of AI-based SaaS and mobile apps through our Bug Crawl program.

Recognized for Excellence

We’ve earned a spot on IAOP’s Global Outsourcing 100 list, an independent validation of our expertise and service delivery. Choose QAwerk for quality, trustworthiness, and efficient workflows.

Driven by Client Success

Our clients’ wins are our wins. Solutions we’ve tested have received prestigious industry awards, and the startups we work with get acquired by the best in the business. Your success story could be next.

End-to-End Support

We don’t just file bug reports and walk away. We guide you from initial AI software testing strategy to final checks, ensuring you release an AI product that you can be proud of.

QAwerk has consistently delivered high-quality testing solutions and contributed significantly to our product development process. Their team’s professionalism, attention to detail, and proactive approach have been instrumental in ensuring the reliability and functionality of our products.
star star star star star
Ivano Barbieri
QAwerk is proactive and helpful. QAwerk has conducted comprehensive manual and automated testing, including functional, regression, and usability testing, alongside automated tests covering a wide range of scenarios. They provided detailed bug reports with prioritization recommendations and worked with our team to solve them. Key deliverables include test plans, test cases, automated test scripts, and regular status updates.
star star star star star
Pablo Alba Chao
We worked with QAwerk on a new mobile app. They develop test plans, continue to do regression testing, and are also developing automated test coverage. I was really impressed with the depth and thoughtfulness of all the work, and even giving feedback on the app functionality itself. QAwerk has been very responsive to requests—I'm not sure when they ever sleep! The team is very clear and organized with managing the overall project and communication. Highly recommend!
star star star star star
Gavin Zuchlinski

Elevate Your AI Software Testing

Regression Testing

Ensure AI stability as you evolve your models and applications. Regression testing prevents new changes from breaking existing AI functionality and accuracy, safeguarding your AI investments.
Learn more

Automated Testing

Boost the efficiency of your AI testing. Automation speeds up repetitive test cycles, ensuring consistent and broad test coverage for your AI models and applications.
Learn more

Accessibility Testing

Make your AI inclusive for everyone. Accessibility testing guarantees your AI applications are usable by people with disabilities, broadening your reach and upholding ethical AI practices.
Learn more

Penetration Testing

Proactively expose and eliminate weaknesses with penetration testing. We’ll help you uncover and resolve vulnerabilities in your AI, leading to protected sensitive data and ensured robust security.
Learn more

FAQ

What is artificial intelligence software testing, and why is it important?

AI testing is the practice of checking AI models, agents, or apps to ensure they work well and deliver accurate results. It’s all about verifying data quality, model integrity, and overall performance in real-world scenarios.

How is AI testing different from traditional software testing?

Traditional software testing checks predictable, rule-based systems with set outcomes. AI testing, however, evaluates dynamic, learning systems where results can vary. This means we use different methods, like testing for model bias, data quality, adversarial attacks, and explainability.

What is the difference between LLM testing and LLM evaluation?

LLM testing checks whether your LLM application works correctly and safely, catching hallucinations, functional bugs, prompt injection risks, integration failures, and performance issues. LLM evaluation measures how good the outputs are, scoring them for accuracy, faithfulness, and relevance with metrics, golden datasets, and LLM-as-a-judge. Most teams need both: LLM testing services to catch defects before release, and LLM evaluation services to track quality across every prompt and model change.

How much does artificial intelligence testing cost?

AI software testing costs vary greatly based on complexity, methods, and infrastructure. Advanced AI solutions with multi-modal interaction usually require more extensive testing, which drives up costs. One way to reduce expenses is to focus on testing the most essential functionalities and high-risk scenarios first.

What’s the typical timeline for AI testing?

Timelines vary by project size and complexity. As an AI/ML testing company, we’ll collaborate on a plan that meets your goals, whether you have a tight deadline or want an ongoing QA partnership.

What expertise should an AI QA engineer possess?

An AI QA engineer requires a combination of standard software testing skills and specialized AI knowledge. This includes a solid understanding of machine learning concepts, basic data science, experience with AI testing tools and frameworks, strong analytical abilities, and a critical perspective on bias, ethics, and AI model behavior.

Why does AI need constant monitoring?

Even a well-trained AI model can drift over time if data changes. Constant artificial intelligence testing helps maintain accuracy, resolve emerging bugs, and adapt the AI to new conditions.

Related in Blog

AI Agent Evaluation: Metrics, Criteria and Thresholds

AI Agent Evaluation: Metrics, Criteria and Thresholds

July 22, 2025

The AI agent industry is rapidly evolving, but the real impact of these agents (and how much we can trust them) depends on a thorough evaluation. Let’s start by exploring an AI agent definition: software systems that use artificial intelligence to autonomously perform tasks and...

Read More
LLM Testing Checklist: A Pre-Launch Guide

LLM Testing Checklist: A Pre-Launch Guide

June 2, 2026

Air Canada lost a court case because its chatbot invented a refund policy. The tribunal ruled the airline had to honor what the bot promised. Klarna reversed its AI-first customer service strategy after its chatbot delivered worse service than humans, and started rehiring agents....

Read More
From MVP to Maturity: QA Strategies for Testing AI Models at Every Stage

From MVP to Maturity: QA Strategies for Testing AI Models at Every Stage

August 8, 2025

Developing custom AI models or integrating existing ones into digital products is an exciting journey, but it's also fraught with unique challenges. Unlike traditional software, AI models learn and evolve, making their behavior less predictable and their testing more complex....

Read More
AI Test Case Generation From Requirements: The Prompt That Yields Runnable Tests

AI Test Case Generation From Requirements: The Prompt That Yields Runnable Tests

September 2, 2026

A four-part prompt template and a six-lens coverage loop that get Claude, ChatGPT and Gemini to return runnable, deduplicated Gherkin test cases from a user story, ready for Jira, TestRail or Xray....

Read More
Manual vs Automated Testing for AI Agents: Which Approach Works Best?

Manual vs Automated Testing for AI Agents: Which Approach Works Best?

June 6, 2025

As more businesses experiment with building AI agents, the need to ensure their quality grows daily. AI testing is unique, requiring additional knowledge and skills specific to this domain....

Read More
15 Best AI-Powered Software Testing Tools for 2026

15 Best AI-Powered Software Testing Tools for 2026

May 9, 2025

Compare the top AI-powered software testing tools for 2026: agentic QA platforms, self-healing automation, visual AI, and test management, reviewed by QAwerk testers....

Read More

Want to Launch AI with Confidence?

Book a free consultation and discover how our AI testing services can help you release premium AI solutions.

  Your privacy is protected

150+

AUTOMATION
TESTING PROJECTS

11+

YEARS TESTING

30+

SENIOR QA ENGINEERS

110M

USERS OF SOLUTIONS
WE TEST