AI Testing Services - DeviQA
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AI Testing Services

Innovate boldly. Test fearlessly. Launch confidently.

6

Locations

14

Years of experience

250+

Software QA engineers

200+

Integrations into an existing development & testing process

300+

Projects tested from scratch

50+

Reviews on

AI Testing Services evaluate the operation of AI-based systems from multiple perspectives to ensure their efficiency and reliability. Businesses apply for such services to minimize errors, enhance quality, and ensure high customer satisfaction and operational efficiency. With extensive expertise in various industries, including Healthcare, FinTech, Real Estate, Cybersecurity, Retail, AdTech, and others, DeviQA provides comprehensive QA services, allowing clients to deliver exceptional AI solutions.

Our Solutions For Your AI Testing Challenges

Development and testing of AI-based solutions are fraught with the unique challenges but our tailored comprehensive solutions can efficiently address them.

Unpredictable Input Variability

Challenge

One of the primary challenges in AI testing is coping with the vast and unpredictable variability of inputs. As AI systems encounter a multitude of scenarios in the real world, ensuring robustness and reliability becomes paramount.

Solution

We use advanced testing methodologies that simulate diverse real-world scenarios, enabling your AI to navigate through the unpredictable landscape with ease. Our comprehensive test suites cover a spectrum of inputs, ensuring your AI is prepared for any challenge it may encounter.

Poor Test Coverage

Challenge

Achieving comprehensive test coverage for complex AI systems can be a daunting task. Often, critical scenarios are overlooked, leading to potential issues in production environments.

Solution

DeviQA leverages a combination of automated and manual testing to ensure a thorough examination of your AI model. Our testing framework is designed to identify vulnerabilities across various dimensions, guaranteeing that your AI is rigorously tested from all angles.

Evolving Models and Continuous Integration

Challenge

Traditional testing approaches struggle to keep pace with constantly evolving AI models. Continuous integration and continuous testing throughout the development lifecycle are crucial.

Solution

Embracing the principles of continuous testing, we seamlessly integrate our automated tests into your development pipeline. This ensures that your AI is tested at every stage of its evolution, providing confidence in its smooth work as it undergoes continuous enhancements.

Our Scope of AI Testing Services

Our AI Testing Services are designed to elevate your AI applications to new heights, providing you with the confidence that your technology is not just functional, but exceptional.

Functional Testing

Ensure your AI systems meet functional requirements with our rigorous testing protocols. We evaluate the core functionalities of your AI application to guarantee its smooth and efficient work.

Performance Testing

Unlock the full potential of your AI solution with our performance testing services. We assess the system's responsiveness, scalability, and stability under various loads to ensure it delivers exceptional results in any situation.

Security Testing

Safeguard your AI applications against potential threats with our advanced security testing. We identify vulnerabilities, assess data protection measures, and implement robust security protocols to protect your AI system against cyber risks.

Usability Testing

Enhance user experience by optimizing the usability of your AI applications. Our usability testing evaluates the interface, navigation, and overall user interaction, ensuring that your AI solution is intuitive and user-friendly.

Compatibility Testing

Guarantee seamless integration across platforms and devices with our compatibility testing services. We validate your AI application's compatibility with various operating systems, browsers, and hardware configurations to ensure a consistent user experience.

Regression Testing

Safeguard against unintended consequences with our regression testing. We detect any issues that may arise as a result of updates or changes to your AI application, ensuring its continued optimal work.

Robustness Testing

Validate the robustness of your AI system under adverse conditions. Our testing simulates real-world scenarios to ensure your application can handle unexpected inputs and environmental factors without compromising performance.

Ethical AI Testing

Ensure your AI aligns with ethical standards and guidelines. We assess your AI applications for biases, fairness, and ethical considerations, helping you build trust and accountability with your users.

Collaboration on your terms

We understand that every business has unique needs and preferences when it comes to developing and testing AI solutions. That's why we offer flexible collaboration models tailored to meet diverse requirements. Choose the model that best aligns with your goals, and let us elevate your AI testing experience.

Staff Augmentation

Augment your existing team with our skilled AI testing professionals to enhance productivity and efficiency.

  • Best Option for Businesses looking to reinforce their in-house AI testing capabilities without the complexities of permanent hires.

  • Rapid team scalability without long-term commitments.

  • Cost-effective solution, as you pay for the additional expertise only when it is needed.

  • Seamless integration with your internal teams for a cohesive working environment.

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Dedicated Team

Opt for a dedicated team of skilled AI testing professionals exclusively assigned to your project.

  • Best Option for Businesses with ongoing AI projects requiring continuous testing and maintenance.

  • Full control and transparency throughout a testing process.

  • Direct communication with your dedicated team for real-time updates and adjustments.

  • Tailored solutions to address the unique challenges of your AI applications.

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Outsourcing

Fully outsource your AI testing requirements to our expert team to be able to focus on core business activities.

  • Best Option for companies seeking a turnkey solution for their AI testing needs.

  • Significant cost savings compared to maintaining an in-house testing team.

  • Access to a specialized team with diverse skills and experience.

  • Ability to concentrate on core competencies while real QA professionals address software testing.

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Our Approach
to AI Testing

Our approach to AI testing is based on a comprehensive and dynamic methodology to address the unique challenges posed by AI-driven applications. Here's a glimpse into our systematic approach:

Strategic Planning

We begin with a thorough study of your AI system's objectives and user scenarios to align our testing efforts with your goals.

Data Quality Assurance

We rigorously validate input data to enhance your AI system's adaptability and robustness.

Algorithmic Verification

Our experts check algorithms for accuracy, efficiency, and potential biases, optimizing overall performance.

Performance Testing

We simulate real-world conditions to evaluate system responsiveness, scalability, and stability under varying workloads.

Adaptive Test Automation

Our automation evolves with your AI system, providing continuous validation and reducing a testing lifecycle.

Ethical AI Evaluation

We check fairness, transparency, and accountability of AI models, making sure they adhere to ethical standards and industry regulations.

Security Testing

Comprehensive security protocols identify and address vulnerabilities, protecting your AI solutions from potential cyber threats.

Partner with DeviQA: see the difference

Test coverage :

90%

Before
After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

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Dev capacity:

+15%

Before
After

Didn’t have a formal QA process

Built smooth and well-working processes

Didn’t make automated testing

Test automation : smoke, API, UI on all supported browsers

Testing was carried out by the devs

Full coverage of the application by test cases

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Test coverage :

97%

Before
After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

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