🤖 AI-Powered

AI Testing Services

Leverage artificial intelligence to validate your AI models, ensure fairness, and deliver intelligent testing solutions that go beyond traditional QA.

AI Testing Services

Smarter Testing with AI

AI testing isn't just about automation; it's about intelligence. We use AI to generate test cases, heal broken scripts automatically, and visually inspect your UI like a human would, but with the speed of a machine.

  • Self-Healing Automation
  • Visual AI Validation
  • Predictive Defect Analytics
  • Smart Test Data Generation
Machine Learning
Computer Vision
Predictive
NLP
🧠 Our Capabilities

AI-Driven Services

We integrate cutting-edge AI technologies into your QA process to solve complex testing challenges.

Self-Healing Scripts

Automation scripts that automatically adapt to UI changes, reducing maintenance effort by up to 80%.

Visual AI Testing

Using computer vision to detect layout issues, color mismatches, and overlapping elements that code assertions miss.

LLM & Chatbot Testing

Specialized testing for Generative AI models, chatbots, and virtual assistants to ensure accuracy and safety.

Smart Data Generation

Generating synthetic, privacy-compliant test data using AI algorithms to cover edge cases and complex scenarios.

Defect Prediction

Analyzing historical data to predict high-risk areas and prioritize testing efforts where bugs are most likely to occur.

Auto-Test Generation

Automatically generating unit and regression test cases from code changes or user stories using NLP.

Why AI Testing
The Acadify Advantage

Why Choose Us?

We are pioneers in applying AI to quality assurance.

Innovation

We constantly explore new AI tools and techniques to improve testing efficiency.

Ethical AI

We ensure your AI models are fair, unbiased, and transparent.

Expertise

Our team includes data scientists and QA engineers with deep AI knowledge.

Technology Stack

AI Tools We Leverage

We use cutting-edge AI tools to power our testing services.

Applitools
Testim
ReportPortal
TensorFlow
OpenAI
Python

Frequently Asked Questions

Common questions about our AI testing services.

We test datasets for bias and validate model outputs against ethical guidelines to ensure equitable performance across all demographics.

Yes, we use specialized frameworks to test LLMs (Large Language Models) for accuracy, safety, hallucination rates, and prompt injection vulnerabilities.

We leverage tools like Applitools for visual AI, Testim for self-healing tests, and custom Python frameworks with TensorFlow/PyTorch integration.

Want to learn more about AI Quality Assurance?

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