AI Testing | TestPro Software Testing Consultancy

KEY BENEFITSKEY BENEFITS

Increase AI/ML model accuracy and reliability.

Prevent negative publicity due to quality issues related to bias.

Successfully integrate AI features into existing digital landscape.

Reduce AI testing cost of ownership.

OUR SERVICESOUR SERVICES

Model Optimisation

Fine-tune your ML algorithms using thousands of statistical tests. Specialist AI testing tools verify hyperparameter changes and feature enrichment, to ensure robust stability.

Ethical Testing

Validate the quality of data used in AI models. Assess data accuracy, completeness and consistency. Achieve reliable results and minimise bias, skewed sampling and stereotypes.

Verify the resilience of AI systems by subjecting them to various edge cases, unusual inputs and unexpected scenarios. Identify potential errors, exceptions and failure points to enhance system robustness.

Stability Assurance

In a data driven world, AI adaptability is crucial. Navigate shifting markets and changing consumer habits with the guidance of TestPro. Achieve precise, future proof AI.

Adversarial Testing

Simulate malicious attacks and adversarial scenarios to evaluate the resilience of AI systems. Test for vulnerabilities and strengthen security measures against potential threats.

Model Explainability

Evaluate the explainability and interpretability of AI models to ensure transparency and trustworthiness. Verify that AI models make the right choices and clearly explain their decisions.

“TestPro provided IMServ with specialist technical resources in rapid time. The resources were high quality, integrated well into the programme and made an impact from day one. I wouldn’t hesitate in recommending TestPro as a partner.”

N Walker, Programme Director, IMServ

WHY TESTPROWHY TESTPRO

AI Algorithms

We have a deep understanding of AI algorithms such as neural networks, decision trees, and support vector machines. Full test coverage includes supervised, unsupervised and reinforcement models.

Data & Feature Engineering

We recognise the criticality of data pre-processing and feature engineering in AI models. Data cleansing, normalisation and feature extract techniques are used to optimise data quality.

AI Model Validation

Navigate the complexities of data partitioning, cross-validation, hyperparameter tuning and model selection. We train AI models and validate them using precise evaluation metrics.

Bias & Fairness

At TestPro we help to address biases and ensure fairness in AI systems. Our proficiency in detecting, measuring and mitigating bias ensures ethical considerations are validated.

Limitations & Challenges

We know the challenges specific to AI testing, from black-box models to the need for explainability, interpretability avoiding concept drift and to defend against adversarial attacks.

AI SDLC

TestPro’s experience covers the entire AI development life cycle. From requirements gathering to design, implementation, and deployment, testing activities are seamlessly integrated with your SDLC.

SOFTWARE TESTING

DELIVERED.

CASE STUDIES CASE STUDIES

THE BRIEF

IMServ is one of the UK’s leading data collection and energy metering experts. As part of an IT and business transformation programme, IMServ aimed to enhance overall quality by leveraging AI and automation to drive efficiency, speed, cost reduction and improved user experience.

THE CLIENT SAID