AI Testing

AI TESTING THAT SEES WHAT OTHERS MISS

Your AI deserves more than blind spot checks. Our AI Testing service validates accuracy, bias, and resilience – ensuring your models behave as expected in the real world. We make sure your AI systems stay sharp, safe, and stable through every release.

WHY MOST AI TESTING FAILS?

Most teams still treat AI systems like regular software — but models don’t behave like code. They learn, drift, and evolve with every new dataset. Traditional QA can catch bugs, but it can’t catch bias, overfitting, or unpredictable model logic.

No clear metrics to define “success” for models

Test data that doesn’t reflect real-world conditions

Missed ethical or bias issues in training data

Fragile pipelines that break under scaling

Inconsistent validation across versions

60% OF AI PROJECTS FAIL DUE TO POOR TESTING AND UNCLEAR VALIDATION CRITERIA.

That’s why true AI Testing needs both data intelligence and QA discipline – not guesswork.

WHAT WE DO DIFFERENTLY – AND WHY IT WORKS

We test AI with methods built for models that learn, drift, and evolve – giving you validation that stays accurate long after traditional QA breaks down.

Model-Aware Test Design

We build test suites that actually understand your AI. Each test is mapped to model logic, training context, and intended business outcomes.

Data Integrity Checks

We detect data drift, bias, and input anomalies before they sabotage accuracy. Your datasets stay trustworthy and compliant.

Automated ML Pipeline Validation

From data ingestion to inference, we automate the QA of your entire MLOps pipeline – including version control and retraining triggers.

Ethical & Bias Testing

We test models for fairness, inclusivity, and unintended bias – protecting both your users and your brand.

Performance & Scalability Audits

We simulate real-world traffic, concurrency, and scaling to see how your AI performs under pressure.

Continuous AI Regression Suite

Every time you retrain, we revalidate – automatically. That means safer updates and fewer production surprises.

HOW THE PROCESS WORKS

We have a clear, structured onboarding process that delivers immediate results and long-term value

Model & Data Review

We analyze your model type, data sources, and risk areas to define measurable testing objectives.

Test Strategy Setup

We design a complete AI Testing plan – metrics, datasets, and validation workflows included.

Automated Validation Framework

Our tools integrate with your CI/CD or MLOps stack to run automated checks on every build.

Bias & Stress Testing

We run fairness audits and simulate real-world data extremes to expose weak points.

Insight Report & Optimization

We deliver clear findings with actionable fixes – from model tuning to data hygiene improvements.

WHY ENGINEERING TEAMS WORK WITH US

PrawdaDigital exists to make software delivery smoother, faster, and smarter. We’ve helped product teams from early-stage startups to enterprise platforms ship better software with less stress. QA is just one part of our full-stack delivery expertise.

We combine QA expertise with deep ML understanding.

PrawdaDigital scales testing as fast as your models evolve.

Our insights turn opaque model behavior into clear decisions.

You get measurable quality, not vague “AI confidence.”

WHAT YOU'LL HAVE WITHIN WEEKS

Verified, bias-free AI models ready for deployment

Continuous AI test coverage across retrains

Reduced risk of failure in production

Actionable insights into model performance

Confidence in both accuracy and fairness

Full visibility into data and model health at every stage

Available Add-Ons (as needed)

MLOps Integration Support

Synthetic Data Generation

AI Compliance Audit

READY TO PUT YOUR AI THROUGH REAL TESTS?

AI Testing by Prawda Digital gives you clarity, control, and confidence – so your models deliver measurable results every time. Stop guessing. Start validating.

CONTACT US