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AI/ML software testing services

Speed up AI releases without losing production control.

Stop model failures in their tracks with DeviQA’s 15-year AI/ML testing track record.

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Our solutions for your AI/ML software testing challenges

AI and ML applications come with unique risks traditional QA can’t catch. Here’s how DeviQA helps you solve them:

Unpredictable model behavior

Challenge

Only 48% of AI projects ever reach production, and over 80% fail due to unpredictable outcomes.

Solution

We simulate edge cases, catch silent failures, and validate output consistency before going live.

Data bias and model drift

Challenge

Up to 87% of AI/ML projects fail due to poor data quality or drift.

Solution

We continuously monitor input distributions, flag drift, and validate for bias through automated pipelines.

Non-deterministic outputs

Challenge

67% of CEOs cite model errors as a top AI risk, non-determinism makes regression unreliable.

Solution

We use probabilistic test logic and expected-range validations to catch anomalies while tolerating natural variability.

Lack of explainability

Challenge

56% of Fortune 500 firms now list AI as a business risk, lack of traceability erodes trust.

Solution

We map decisions, validate logic paths, and ensure outputs are explainable for stakeholder confidence.

Skill shortages & resource constraints

Challenge

60% of orgs struggle with AI/data skills shortage, you need experts, not test-support staff.

Solution

We run test frameworks designed for AI/ML, freeing your specialists for innovation, not repetitive validation.

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The scope of our AI/ML
software testing services

We provide end-to-end AI/ML QA testing services to ensure your software delivers exceptional quality at every level.

Case studies

Partner with us:
see the difference

See all stories

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

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The first modern real estate platform

Web app testing
Test automation
E2E testing
Load testing
Mobile testing
+2
  • 85%

    Test coverage

  • 2k+

    Test cases created

  • 2.5x

    Faster regression testing run

Read customer story

Dental practice platform

Web app testing
API testing
Dedicated QA team
Mobile testing
+2
  • 95%

    Test coverage

  • 5k+

    Test cases created

  • 3k+

    Number of critical bugs logged

Read customer story

Solution for managing payments

Web app testing
Dedicated QA team
DB testing
API testing
Performance testing
  • 12

    Years of cooperation

  • 100%

    Covered performance

  • 2x

    Faster regression testing time

Read customer story

Booking system for tours and attractions

Web app testing
Test automation
Mobile testing
DB testing
Dedicated QA team
  • 90%

    Test coverage

  • 3.2k+

    Automation test scripts created

  • 1-2h

    Time of regression

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Experience the DeviQA difference

From initial consultation to full-scale QA implementation, we deliver results.

Collaboration on your terms

Backed by 16 years of expertise, DeviQA offers three flexible models for software testing services for AI applications to fit your project’s needs, timeline, and budget.

Staff augmentation

Plug in skilled testers directly into your existing team.

Advantages:

  • Flexibly scale testing capacity based on project demands

  • Maintain direct management and quality control

  • Fast ramp-up on specific skills without long-term commitments

Best for:

Targeted upscaling or filling AI/ML QA skill gaps quickly and temporarily.

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Dedicated QA team

A full, long-term QA team integrated into your workflow.

Advantages:

  • Deep domain knowledge supports evolving AI/ML systems

  • Faster development cycles with continuous integration and feedback

  • Avoid HR overhead and recruitment costs

Best for:

Complex, long-term AI initiatives that require sustained, embedded QA support.

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Project-based outsourcing

End-to-end management of your testing by our expert team.

Advantages:

  • Independent validation increases delivery confidence

  • No recruitment or training, starts swift and stays efficient

  • Predictable budget with reduced infrastructure investment

Best for:

Fully offloading AI/ML testing when you want ready-to-go project delivery.

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Why choose us as your AI/ML application testing company?

Over 500,000 project man-days successfully delivered.

We take full accountability for our work.

A range of value-added services at no extra cost.

Free test trial. Try us before making any payment.

Our engineers are senior testers with strong autonomy and self-starting ability.

With a 96% retention rate, we offer stable teams, compared to the industry average of 80%.

Extensive testing lab with a wide range of environments, platforms, and devices.

Access to a technology community of over 1000 QA engineers and experts.

Our approach to AI/ML
software testing

AI/ML systems require a smarter testing strategy. At DeviQA, we focus on validating not just functionality, but also model logic, data integrity, and real-world reliability. Our 6-step approach:

01

Risk-focused planning

We assess AI-specific risks and align testing goals with business needs.

02

Designed test strategy

We design test plans that combine functional, model-level, and data-centric methods.

03

Data quality checks

We validate datasets for accuracy, completeness, and bias before testing begins.

04

Model behavior testing

We test prediction accuracy, stability, and edge-case handling.

05

Pipeline & integration validation

We verify your entire ML workflow, from data to deployment.

06

Ongoing monitoring

We enable continuous testing, drift detection, and performance tracking post-release.

Your dev need needs solid QA partner

Here’s what people are saying
about DeviQA

26 reviews

32 reviews

9 reviews

Review

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

Author

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

Yuval Or

QA manager at Mimecast

Review

DeviQA has always brought us really high quality candidates for us to be able to seamlessly mesh into our team.

Author

Danny He

CEO and founder at Soapbox

DeviQA provides software QA automation engineering support to a QC and QA company. Their work includes sandbox testing, QA, testing automation, DevOps support, and TechOps support.

Alex Ohoussou

Alex Ohoussou

Head of QA & techOPs at QIMA

Review

You guys have always been genuine, flexible and personable.

Author

Ryan Austin

CEO and founder at Cognota

DeviQA has provided application testing services for an HR tech company. The team has managed feature, smoke, and regression automation tests and offered test reports.

Mia Bunjac

Mia Bunjac

QA chapter lead at Renhead Technology

Review

In fact, they have been a part of our success story, helping us grow from six workers 11 years ago to about 1200 workers now.

Author

Raanan Tauber

QA manager at Tipalti

DeviQA provides automatic testing with continuous integration for native and hybrid mobile apps.

Giurea Renato Gabriel P.F.A.

Giurea Renato Gabriel P.F.A.

CTO at Impaktsoft Projekt S.R.L.

Review

They can take my lack of knowledge and I can trust that they will be able to produce something of value.

Author

Ray Alde

Co-founder & cto at Arklign

DeviQA provides QA and testing resources on an ongoing basis. They evaluate architectures and offer both manual and automated testing. The client has also utilized their on-demand developers.

Review

To me, that's above and beyond, I did not expect that to be so smooth and so easy.

Author

Mark Levine

Chief product officer at CYDEF

DeviQA is a dedicated vendor that assists with manual and automated testing on an ongoing basis. They're also overseeing other development projects and supervising the testing portion of those.

Review

They know what they're doing because the people that they send to us are quality people.

Author

Charles Chase

Chief technology officer at Returnmates

DeviQA provided application testing services for an audio editing platform. The team was responsible for continuously testing the UI and functionality of the platform via an automated testing framework.

Review

There is also very good follow up on the engineers and the job they're doing.

Author

Olivier Mayot

Chief technology officer at SimpliField

DeviQA serves as the process improvement partner to a diabetes care and solutions company. They helped scale the client's automated testing and are now working on improving their manual testing framework.

Collaboration process overview

  • 01

    Initial contact. We start by understanding your testing needs and aligning them with your goals.

  • 02

    Assessment. Our experts analyze your current process and propose a tailored improvement plan.

  • 03

    PoC. Try a free proof of concept to see our capabilities in action.

  • 04

    Trial & evaluation. We conduct a trial phase and review the results together.

  • 05

    Contract & QA implementation. Once satisfied, we sign the contract and begin full-scale QA.

  • 06

    Flexible partnership. DeviQA offers scalable solutions to adapt to your business needs.

Ready to connect?

Just fill in your name and email, and we’ll get back to you with available slots

Questions & answers

With over 16 years in QA and deep experience across 500+ projects, DeviQA brings proven expertise in testing AI/ML systems at every layer. We focus on real-world behavior, edge-case scenarios, and long-term model reliability, not just UI or surface-level bugs.
AI systems evolve and produce variable outcomes. We go beyond checking functionality to validate data integrity, model behavior, and decision logic.
Yes. Our AI/ML QA testing services are designed to test models that return varied results, using statistical validation, expected ranges, and tolerance thresholds.
That’s common. We simulate edge cases, create synthetic data where needed, and test model logic through controlled input-output mapping.
As part of our AI/ML software testing services, we run fairness audits by injecting demographic variations into test data and monitoring prediction consistency across cohorts.
We define release readiness based on model performance, business KPIs, and risk tolerance, not just unit test results.
Absolutely. Our AI/ML testing company embeds automated validation, model checks, and drift detection directly into your pipelines.
We cover everything: the model, APIs, pipelines, and UI, so your AI/ML product works as a complete, stable system.
We include drift detection as part of our AI/ML software testing services by setting up ongoing monitoring and smart alerts that catch changes in data or prediction accuracy over time, so you stay ahead of issues before they impact users.