AI & ML Test Services
In today’s world, AI and Machine Learning (ML) systems are increasingly embedded in mission-critical workflows. At Qpact Solutions, our AI/ML Test Services ensure that your intelligent systems deliver accurate, reliable, fair, and compliant outcomes. These solutions go beyond traditional software testing — covering data, models, integrations, and the unique challenges of AI/ML.
Data Quality & Pipeline Testing
We validate the foundational data that feeds your AI/ML models: data ingestion, transformation, cleaning, completeness, and correctness. Poor data quality is recognized as a major source of AI failures.
Model Validation & Performance Testing
We test the ML/AI models for accuracy, precision/recall, drift, robustness, and bias. Unlike traditional software, AI models can behave probabilistically and require statistical evaluation rather than exact-match outputs.
Model Validation & Performance Testing
We test the ML/AI models for accuracy, precision/recall, drift, robustness, and bias. Unlike traditional software, AI models can behave probabilistically and require statistical evaluation rather than exact-match outputs.
Integration & End-to-End System Testing
AI/ML systems rarely stand alone-they integrate with many components. We validate how your model interfaces with upstream/downstream systems, APIs, business logic, and user workflows.
Fairness, Bias & Ethical Testing
We assess your AI/ML models for bias, fairness, explainability, transparency, and compliance — ensuring your solutions meet modern governance and ethical expectations.
Fairness, Bias & Ethical Testing
We assess your AI/ML models for bias, fairness, explainability, transparency, and compliance – ensuring your solutions meet modern governance and ethical expectations.
Performance, Scalability & Reliability Testing
We simulate real-world loads, edge cases, adversarial inputs, and data drift scenarios to test how your AI/ML system behaves under stress, evolves over time, and remains stable in production.
Continuous Monitoring & MLOps Alignment
Testing doesn’t stop at deployment. We help embed ongoing monitoring, model-retraining validation, drift detection and governance into your MLOps pipeline.
Continuous Monitoring & MLOps Alignment
Testing doesn’t stop at deployment. We help embed ongoing monitoring, model-retraining validation, drift detection and governance into your MLOps pipeline.
Our Approach
Assessment & Strategy
Review your AI/ML system landscape, data flows, model pipeline, usage scenarios and risk profile.
Test Planning & Design
Define test scenarios for data, model, system, integration, fairness, performance, drift and ethics.
Execution & Automation
Run validation suites, model robustness tests, data-drift monitoring, integration flows; log results and defects.
Regression & Lifecycle Testing
Maintain and execute regression test-suites for model versions, retraining cycles and pipeline changes.
Continuous Monitoring & Improvement
Embed monitoring dashboards, drift alerts, governance reports and continuous test adaptation.
Why Choose Qpact’s AI/ML Test Services?
Deep AI/ML Testing Expertise
Our team understands both the data science and QA perspectives - enabling rigorous testing from the ground up.
Comprehensive & Future-Ready Coverage
From data pipelines to models to system integration to governance, we cover the full lifecycle of AI/ML testing.
Risk-Focused Approach
We prioritise high-risk scenarios, unseen data cases, fairness concerns, and model drift - helping you mitigate hidden AI risks.
Accelerated Time-to-Value
With reusable test asset libraries, domain alignment, and automation of test workflows, we help you scale AI testing efficiently.
AI/ML systems bring tremendous value – but also complex, evolving risks. Qpact ensures your intelligent solutions are accurate, fair, reliable, and scalable.
Contact Qpact Solutions today to learn how our AI/ML Test Services can help you:
- Validate model predictions and real-world behaviour
- Ensure data and pipeline integrity
- Embed fairness, explainability and compliance
- Monitor, retrain and maintain AI systems over time