Quality Engineering & Assurance Services

DataArt delivers quality engineering and assurance services to boost speed, reliability, and user trust. With 15+ years of QA expertise, we ensure scalable, AI-driven testing for lasting success.

Problems We Help You Solve
with Quality Engineering

Buggy Software

Operate error-free software that is thoroughly tested for bugs and able to integrate seamlessly with your full technology ecosystem.

Subpar User Experience

Better meet customer requirements and improve the user experience with software designed to increase customer loyalty and satisfaction.

Manual, Inefficient Processes

Optimize and automate testing processes with AI-driven tools that improve accuracy, repeatability, and get smarter over time.

Brand Equity Protection

Protect your brand by reducing defects and enabling a differentiated user experience that garners positive reviews and long-term use of your technologies.

High Maintenance Costs

Cut down on maintenance costs and the overall cost to serve your customers by being proactive with quality engineering and test automation.

Long Release Cycles

Increase velocity and create more predictable release cycles by addressing defects early in the development process and reducing subsequent rework.

AI-Driven Quality Engineering

We embed Agentic AI into the QA process from day one, enabling agentic systems that act autonomously, learn from context, and adapt in real time. Developed in our QE Lab and validated in delivery, these solutions reduce QA costs, catch issues earlier, and accelerate release cycles, multiplying testing impact across the software lifecycle. Explore what’s possible:

AI-Driven Test Execution

Run tests from plain language. No code. Intelligent execution.

Business Impact: Enables scalable automation in budget-constrained environments by eliminating the code bottleneck.

AI-Driven Exploratory Testing

Crawls, clicks, and uncovers hidden issues before users do - exploring your UI autonomously.

Business Impact: Detects edge-case issues earlier and augments human QA capacity with scalable, on-demand AI testers.

AI-Driven Test Case Generation

Turns requirements into ready-to-run test sets. Clear, fast, and traceable.

Business Impact: Accelerates test design up to 4x while improving coverage consistency across evolving product requirements.

API Test Suite Builder

Builds and updates your test suite from the OpenAPI spec. Automatically.

Business Impact: Cuts down test maintenance time and ensures API validation stays aligned with ongoing development.

Self-Healing Locators

Learns from UI changes. Fixes itself. Keeps testing on track.

Business Impact: Reduces flaky test failures, minimizes manual upkeep, and increases UI automation reliability.

UI Test Generation

Turns real user sessions into clean, reliable test scripts with zero effort.

Business Impact: Delivers fast, production-aligned test coverage based on how users actually interact with the product.

Testing Performance Transformation with AI

Infographic showing AI-driven time reductions in QA processes: test failure analysis (8h to 4h), test case creation (10h to 3h), test case execution (20h to 2h), automated test support (5h to 3h), and intelligent API coverage by AI.

Our Quality Engineering Services at a Glance

Test Solution Architecture

360° Test Strategy Development
SDLC & Agile Integration
Agile Quality Gates
Shift-Left & Right Approach
BDD & TDD
Collaboration-Based Testing
Scalability & Flexibility Planning
Test Strategy Optimization
Maturity Roadmap

Test Management

Team Collaboration Management
Comprehensive Test Planning
Risk-Based Test Management
Test Control & Monitoring
Metrics & KPIs Management
Incident Tracking and RCA
Lifecycle Test Management
Quality Assurance Governance

Manual Testing

Test Case Creation, Analysis, and Maintenance
Functional Testing
E2E & Regression Testing
Business Acceptance Testing
Exploratory Testing
Stability & Reliability Testing
Vertical Expertise Testing

Automation Testing

Automation Solution Development
Test Script Development
Customizable Reporting Implementation
Cyclic Health Check
Test-Pyramid Approach
Maintenance and Solution Extensions
Test Automation Process Auditing and Consulting

Non-Functional Aspects

Performance Testing
Security Testing
UX/Usability Testing
Accessibility Testing
Compliance Testing

Agentic AI QA

GenAI Requirement-to-Test Translator
No-Code AI Test Runner
Autonomous UI Explorer
Self-Healing Locator Recovery
Test Optimization Engine
Failure Pattern Identifier
Smart Test Data Provisioning
Insight-Driven Reporting
QA Debt Tracker & Cleanup Assistant

Client Success Stories

Why Partner with DataArt for Quality Engineering Services?

Right People, Right Experience

With over 15 years in the QA field, we have the right people and experience to make any project a success. We are masters of 60+ testing techniques, and have the right mix of junior, middle, and lead QA engineers to innovate, build, and maintain solutions.

Domain Expertise

We’re the trusted quality and performance engineering partner to clients across multiple industries, including top brands in Finance, Travel, Media & Entertainment, Healthcare, Retail, and more.

Client-Centric, Full-Scale Approach

We can meet your unique business needs with our dynamic approach. Our experience ranges from setting up and owning QA processes from scratch to working in large, distributed teams to enable and support continuous delivery.

Recognized as a Major Contender

DataArt was named a Major Contender in Everest Group’s Quality Engineering Specialist Services PEAK Matrix® Assessment 2023, which highlighted our proactive approach and wide industry coverage.

QA Assessment

A comprehensive QA audit is the foundation for improving quality practices and reducing inefficiencies. We begin by evaluating your development, QA, and release workflows—reviewing your strategy, test artifacts, automation frameworks, tools, CI setup, environments, and team structure. The outcome is a clear view of current gaps, strengths, and opportunities to optimize your quality engineering approach.

Quality Assessment

Obtain a detailed analysis of your current quality assurance processes, identifying both strengths and areas for improvement.

Risk Identification

Early detection of potential risks and issues in your software development lifecycle, allowing for timely interventions.

Process Optimization

Recommendations for optimizing your QA processes, leading to improved efficiency and resource allocation.

Enhanced Product Quality

Insight into how to enhance the overall quality of your product, ensuring a better user experience and increased customer satisfaction.

Deliverables

Assessment report with a prioritized list of findings and a structured set of general recommendations for the Automated Testing process
Recommended action plan based on the audit results
Process Improvement Recommendations
Prepared team composition and cost required to achieve goals (if required)

How We Measure Quality Engineering Success

Test Coverage

We aim to cover at least 80% of your software’s code with automated tests. This ensures that all your software’s most critical areas will be regularly, and automatically, tested.

Test Effectiveness

We monitor the ability of automated tests to detect errors. This can be measured using metrics like defect detection rate, defect severity, and detection time.

Test Stability

We keep track of how often tests must be updated due to application modifications. More stable tests require less maintenance and are less prone to false positives.

Test Execution Time

We measure the duration of executing automated tests. A lower test execution time ensures faster feedback for code adaptations.

Test Maintenance

We check the maintenance required for automated test scripts. A lower maintenance effort indicates that tests are stabilized, meaning less maintenance for you.