AI testing services - DeviQA
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AI testing services

Innovate boldly. Test fearlessly. Launch confidently.

Ensure model accuracy by leveraging DeviQA’s AI testing services, refined over 15 years to detect biases and improve the precision of your machine learning models.

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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.

The scope of our expertise

By types of software:

Mobile app testing

Web app testing

IoT testing

By approach to testing:

Manual testing

Automated testing

By levels of testing:

Integration testing

System testing

Acceptance testing

By types of testing:

Functional testing

Compatibility testing

Performance testing

Security testing

Usability testing

Localization testing

Exploratory testing

Regression testing

Release testing

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.

DeviQA’s AI advantage

At DeviQA, we use AI to make testing smarter and simpler. Our ecosystem is built to deliver faster, smarter, and more cost-efficient results — so our team can do more in less time.

DeviQA AI ecosystem

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AI-powered IDE assistant

Reduces test script writing time

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QA companion

Provides suggestions for test optimization and addresses gaps

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Automated code review

Flags unused variables, improper loops, and other common errors

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AI for API testing in Postman

Streamlines API test case creation and response validation

Features

Test case creation

Code review

Exploratory planning

Log analysis

VS

Testing time spent
without AI

6 hrs

3 hrs

2 hrs

2 hrs

VS

Testing time spent
with DeviQA AI

4 hrs (30% saved)

2 hrs (40% saved)

45 min (60% saved)

1 hr (50% saved)

VS
Case studies

Partner with us:
see the difference

Global healthcare giant

Web app testing
Test automation
API testing
Dedicated QA team
  • 90%

    Test coverage

  • 1.6k+

    Test cases created

  • X18

    Faster regression testing run

“They treat our automated testing project as a development effort rather than a testing effort, always anticipating next steps and improvements. Whenever we need changes, they’re able to respond quickly. They take on current problems and address future issues as well. “

Dale Vosburgh
Dale Vosburgh
Director, Diabetes Care Firm
Read customer story

We serve

Our expertise and resources allow us to cover the unique needs of each project, ensuring the delivery of top-notch software that meets your requirements and business goals.

Book a call to uncover hidden biases that could damage your reputation and customer trust

Here’s what people are saying
about DeviQA

It was so easy to integrate your people with us and we didn't have any problems.

Janosch Greber

VP of engineering at RealTyme

DeviQA helped develop a cybersecurity software platform. Complex automated scenarios test REST APIs through a Faraday library. An SDK application works with Azure, Google Cloud, Docker, and LXC containers.

Yuval Or

QA manager at Mimecast

QA tools & platforms we hold expertise in

Playwright

Cypress

Cucumber

Selenium

Appium

Mocha

Robot Framework

Specflow

TestNG

WebdriverIO

Selenide

Calabash

Watir

Codeception

HCL AppScan

Nessus

NMAP

BurpSuite

Acunetix

OWASP ZAP

Metasploit

Wireshark

DBeaver

Rdp-Sec-Check

SNMPCHECK

AiR

SSLSCAN

k6

JMeter

Load Runner

Visual Studio

Rest API

GraphQL

Apiary

Bluetooth Low Energy API

Apple Pay

Google Pay

Apple Maps

Fingerprint API

Postman

Swagger

Charles Proxy

Ready API

ACCELQ

Katalon Platform

REST-Assured

SQL Server

MySQL

Oracle

PostgreSQL

Cassandra

MongoDB

RethinkDB

Amazon S3

Redshift

DynamoDB

Amazon RDS

DocumentDB

Amplify

Lambda

Amazon EC2

Elasticache

Azure Datalake

Blob Storage

CosmosDB

SQL Database

Synapse Analytics

Google Cloud SQL

Google Cloud Datastore

What you get

Feel the improvement in

3 days

Reduction in your costs

60%

Accelerate development by

30%

Automation faster in parallel by

56x

Increase test coverage to

95%

Awards and recognitions

Top B2B Company by Clutch in 2022
Top 1000 Companies by Clutch in 2022
Leading Testing Provider by SoftwareTestingNews in 2021
Top Software Testing and QA Company by Superbcompanies in 2023
Finalist of the European Testing Awards in 2019
Finalist of the Software Testing & QA Awards in 2019

Collaboration process overview

Initial contact

During our initial call, we aim to understand your testing requirements and goals

Assessment

We evaluate your current testing process and create a tailored plan to enhance it

Proof of concept

We offer a complimentary proof of concept, allowing you to experience our proficiency and expertise

Trial and evaluation of performance

We start a trial period with you, and once complete, we review the results together and discuss options

Contract signing and full-scale QA implementation

Upon mutual agreement, we move forward with the QA process by signing a contract and beginning work

Partnership with flexibility

Our engagement options give you commercial flexibility to dial up and dial down resources depending on your own needs

Let’s schedule a call

Flexible collaboration options allow you to choose the level of support that best meets your needs

Questions & answers

Why should I choose an AI testing service provider instead of building an in-house QA team?

Partnering with an experienced AI testing company like DeviQA provides access to specialized tools, proven frameworks, and domain expertise, saving time and costs while ensuring superior results.

AI/ML testing services analyze datasets and model predictions to detect and mitigate bias, ensuring fairness and ethical compliance across applications.

AI-based testing services use advanced algorithms and automation to identify patterns, predict defects, and accelerate testing cycles, offering unmatched precision and efficiency.

Yes, comprehensive AI testing solutions encompass functional, performance, integration, and scalability testing to ensure seamless operations under all conditions.

ML testing services focus on evaluating data quality, model predictions, and retraining processes to ensure models consistently deliver accurate and trustworthy results.

Synthetic data helps test AI solutions in diverse scenarios, including edge cases, enhancing robustness and reducing dependency on real-world datasets.

AI-based testing services leverage automated tools and scalable infrastructure to adapt to increasing workloads without compromising quality or speed.

AI testing solutions integrate seamlessly into DevOps workflows, enabling continuous testing and faster releases through automated checks and analytics.

AI/ML testing services monitor production models for drift, performance degradation, and compliance, ensuring sustained efficiency and accuracy over time.

An experienced provider, DeviQA incorporates regulatory testing frameworks, ensuring your AI applications meet data security, privacy, and ethical standards.

Yes, advanced testing AI solutions can test interactions between multiple models, ensuring consistency and compatibility across your system architecture.

By integrating testing early, AI testing services identify and resolve issues faster, reducing rework and accelerating time-to-market for AI applications.

Absolutely. These services provide access to top-tier tools and expertise without the overhead of building in-house capabilities, making them ideal for startups.

We implement ongoing monitoring, feedback loops, and periodic retraining to keep your AI solutions performing at their best over time.