AI/ML software testing services
Your AI system is live. Can you trust what it does next?
LLMs hallucinate. Recommendation engines drift. Classifiers fail silently — and traditional QA never catches it. DeviQA brings 16 years of battle-tested expertise and a purpose-built methodology to validate AI systems the way they actually behave.
Trusted by
Traditional QA was not designed for this
Conventional testing is built on a simple premise: same input, same output. AI breaks that premise entirely. Outputs are probabilistic. Models degrade silently post-deployment. And the cost of missed failures is measured in user trust, compliance risk, and revenue.
<20%
of enterprises feel confident validating GenAI behavior in production
~60%
of AI initiatives fail to scale due to validation and monitoring gaps
87%
of AI/ML projects fail due to poor data quality or undetected model drift
The DeviQA AI Integrity Framework
We don't adapt traditional test scripts to AI. We designed a dedicated validation methodology that
sits at the core of our AI/ML testing services — addressing what AI systems uniquely require:
behavioral consistency, output reliability, drift resilience, and trust at every layer of the stack.
DeviQA AI Integrity Framework
Behavioral baseline engineering
We define what "correct" means for your AI system using probabilistic assertions, expected output ranges, and tolerance thresholds, accounting for natural variability while reliably flagging real failure.
Adversarial probing
Prompt injection attempts, edge-case engineering, boundary manipulation, and unexpected context shifts. We find where your AI breaks before your users do.
Drift & bias detection
Continuous automated monitoring pipelines track input distribution changes, flag model drift, and validate for bias — ensuring what your system learned at launch still holds months later.
Explainability & decision audit
We map decision paths, audit output reasoning chains, and validate logic for regulated environments — ensuring every AI decision can be explained to a stakeholder, a regulator, or a user.
The scope of our AI/ML
software testing services
End-to-end QA for every layer of your AI product.
LLM & generative AI testing
Hallucination rate, prompt sensitivity, output consistency, tone, accuracy, and safety boundary testing. We validate what language models say, and what they should never say.
ML model & pipeline validation
Training data quality to inference accuracy. Prediction stability, edge-case handling, regression drift, and pipeline integrity, covered before and after every model update.
AI feature integration testing
AI embedded in larger products introduces its own failure modes. We validate AI-powered features across APIs, data flows, and UI layers within the full system context.
Post-deployment monitoring & continuous QA
We continuously monitor production data, derive new tests from real user activity, and adapt quality checks to live usage — keeping your AI accountable after it ships.
AI audit & risk assessment
Not sure where your quality gaps are? We audit your current AI/ML validation approach, identify the highest-risk failure points, and deliver a prioritized remediation roadmap.
Global healthcare giant
90%
Test coverage
1.6k+
Test cases created
X18
Faster regression testing run
The first modern real estate platform
85%
Test coverage
2k+
Test cases created
2.5x
Faster regression testing run
Dental practice platform
95%
Test coverage
5k+
Test cases created
3k+
Number of critical bugs logged
Solution for managing payments
12
Years of cooperation
100%
Covered performance
2x
Faster regression testing time
Booking system for tours and attractions
90%
Test coverage
3.2k+
Automation test scripts created
1-2h
Time of regression
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
Senior AI/ML QA specialists joined to your existing team.
Advantages:
Covers AI-specific gaps — model validation, drift detection — without a hiring cycle
You keep full control over priorities, tooling, and direction
Flexible — scale the number of specialists up or down as needed
Best for:
In-house QA teams scaling into AI.
Dedicated QA team
A stable QA team embedded in your workflow long-term.
Advantages:
Accumulated product knowledge speeds up defect detection over time
No re-onboarding between sprints — same team, consistent quality
Scales as your AI product grows — no new hiring required
Best for:
AI/ML teams without a dedicated QA function.
Project-based outsourcing
End-to-end QA ownership for a defined AI/ML initiative.
Advantages:
Fixed scope and accountability — agreed deliverables, not open-ended billable hours
No management overhead — we own coordination, tooling, and process
Ready-built AI/ML frameworks mean fast setup, no ramp-up cost
Best for:
Teams launching or auditing an AI product end-to-end.
Why choose us as your AI/ML application testing company?
Over 600,000 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 4000 QA engineers and experts.
Your AI product moves fast. Your QA should too
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:
Risk-focused planning
We assess AI-specific risks and align testing goals with business needs.
Designed test strategy
We design test plans that combine functional, model-level, and data-centric methods.
Data quality checks
We validate datasets for accuracy, completeness, and bias before testing begins.
Model behavior testing
We test prediction accuracy, stability, and edge-case handling.
Pipeline & integration validation
We verify your entire ML workflow, from data to deployment.
Ongoing monitoring
We enable continuous testing, drift detection, and performance tracking post-release.
Here’s what people are saying
about DeviQA
34 reviews
34 reviews
9 reviews
“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 has always brought us really high quality candidates for us to be able to seamlessly mesh into our team.”
Danny He
CEO and founder at Soapbox
“You guys have always been genuine, flexible and personable.”
Ryan Austin
CEO and founder at Cognota
“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.”
Raanan Tauber
QA manager at Tipalti
“They can take my lack of knowledge and I can trust that they will be able to produce something of value.”
Ray Alde
Co-founder & cto at Arklign
“To me, that's above and beyond, I did not expect that to be so smooth and so easy.”
Mark Levine
Chief product officer at CYDEF
“They know what they're doing because the people that they send to us are quality people.”
Charles Chase
Chief technology officer at Returnmates
“There is also very good follow up on the engineers and the job they're doing.”
Olivier Mayot
Chief technology officer at SimpliField
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.
