Why Leading Enterprises Trust Tx
With a proven framework, modern AI stack, and deep domain expertise, Tx delivers QA that adapts, scales, and drives results. We help your business lead with accuracy and adaptability in an AI-powered world.
Faster release cycles
Boost in QA productivity
Reduction in test maintenance
time and costs
Years of Test Excellence
The rise of digital transformation demands more than speed — it needs accuracy, resilience, and intelligence. At Tx, we’ve reimagined quality engineering by embedding AI at the core of every process. Our AI-Enabled Testing ecosystem brings together machine learning, intelligent automation, and domain expertise to create a QA model that doesn’t just react, it anticipates.
With solutions built for modern platforms and legacy environments alike, we ensure seamless, scalable quality across the SDLC. From day-zero defect prediction to adaptive test execution, our AI-first approach empowers enterprises to move fast and move confidently.
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We use AI algorithms to automate and enhance traditional functional and regression testing. It helps identify critical test scenarios, reduce redundant test cases, and adapt tests when the application changes.
We continuously monitor vulnerabilities with AI-driven threat modeling, anomaly detection, and autonomous penetration testing that keeps your systems secure and round the clock.
Accelerate test execution with automatically generated privacy-compliant data that mirrors production patterns at an enterprise level without the operational overhead.
Our AI models analyze code changes and test history to proactively flag high-risk areas, reducing defect leakage and eliminating last-minute surprises.
We accelerate testing, reduce effort and achieve unmatched accuracy with AI-driven test automation by introducing self-healing capabilities, intelligent test case generation, and predictive defect analysis.
We test and validate models using generic and hyper-tuned GenAI models powered by our proprietary testing and domain-specific datasets. Our approach ensures your models perform reliably in production and remain aligned with business objectives and compliance standards.
Automation follows rules. AI makes decisions. With self-healing scripts, continuous learning, and adaptive validations, AI-enabled testing ensures you don’t just release faster — you release smarter. This is continuous quality at enterprise scale.
AI identifies high-impact user paths from real usage data, verifying tests cover what truly matters to end-users.
Go beyond functionality by validating tone, sentiment, and empathy in conversational and UI-driven interfaces.
Detect hidden failure patterns and prevent costly bugs in areas like transactions and onboarding.
AI ranks test cases by risk and business impact, enabling faster, smarter go/no-go release decisions.
The engine behind our AI-enabled testing innovation is TxLabs — our dedicated AI R&D division. From agentic AI systems to autonomous testing frameworks, TxLabs is rewriting how quality is delivered in a hyper-connected, AI-native world.
A Generative AI-based innovation for streamlined quality engineering, enabling smarter test design and defect prediction.
The next-generation accelerator is a low code/no-code automation tool integrated with AI for multiplatform testing across web, mobile, desktop, and APIs.
An autonomous agent that ensures accessibility compliance through continuous monitoring and intelligent violation detection.
An emotional intelligence engine that evaluates platforms like App Store reviews and Reddit threads to detect emotional gaps and create user stories and test cases to fix user-facing defects.
With a proven framework, modern AI stack, and deep domain expertise, Tx delivers QA that adapts, scales, and drives results. We help your business lead with accuracy and adaptability in an AI-powered world.
AI-enabled testing employs Artificial Intelligence (AI) and Machine Learning (ML) algorithms to optimize, automate, and enhance the digital assurance process. It assists in predicting defects, detecting patterns and self-healing test scripts. As a result, it reduces manual effort while improving efficiency and test accuracy.
While traditional automated testing is dependent on predefined scripts, it becomes a little difficult to adapt to the continuous software changes. AI-driven testing enhances test automation by enabling intelligent test case generation, self-healing test scripts, and defect prediction.
AI-powered test automation remarkably improves software quality, reduces time-to-market, and optimizes costs. By using predictive analytics, intelligent defect detection, and autonomous test execution, enterprises can amplify digital transformation and maintain high-performing applications across industries.
AI-powered testing is transforming industries that need high reliability, security and scalability. The most impacted industries include banking & financial services, AI-powered testing is transforming industries, healthcare & life sciences, retail & eCommerce, telecom & media, automative & manufacturing.
AI-enabled testing radically improves software development speed by automating test case execution, generation, and defect detection. It integrates with CI/CD pipelines, enabling real-time execution, predictive analytics, and self-healing automation.
Some of the leading AI-powered test automation tools include:
Tx is a global leader in AI-enabled testing solutions, assisting businesses achieve smarter, faster, and scalable software quality. To explore how we can solidify test coverage, accuracy, and automation strategy, drop us a line at [email protected]