The AI Testing Tool Built for Autonomous QA Teams

Generates test cases automatically within seconds

Suggests additional test scenarios for significant coverage

Improves QA teams’ productivity and product quality

Trusted by high-performing Quality Engineering teams

Why Copilot for GenAI-Powered Test Automation

Achieve 90% Automation Test Coverage with GenAI

See maximum test coverage with AI-generated test cases and edge case suggestions.

Shorten your Test Cycles by 25% and Save Time

Accelerate your testing cycle by saving test creation time and reducing overall testing effort by 10X.

Detect and fix Bugs Early in the Planning Phase

Identify and fix issues earlier in the development process, reducing costs and improving quality.

Build and Maintain Automated Tests with GenAI and No-Code

Instantly Generate Automated Test Cases with a Single Click or Prompt

Instantly generate automated test cases from multiple inputs, including user stories, Figma designs, screenshots, and existing test management systems.

Copilot transforms these requirements into actionable tests in seconds, minimizing manual scripting efforts.

Create Tests by Interacting with Copilot

Effortlessly create test cases for your desired scenarios with Testsigma Copilot. Simply use prompts or select suggested scenarios, and watch as your test cases are auto-generated in seconds.

Generate Comprehensive API Test Cases Instantly

Simply provide your JSON inputs, and let Copilot analyze your API structure to create tests that cover all critical scenarios.

More Test Coverage with Less Inputs

Discover edge cases you might have missed with intelligent test coverage suggestions. Provide minimal input like user stories from Jira, design screenshots, or additional context, and let Testsigma Copilot do the rest.

Cut Test Maintenance by 90% with Auto-Healing Tests

Analyzer flags recurring issues, false positives, groups similar failures, and highlights root causes with visual diffs, logs, and auto-suggested fixes

Data-driven Tests as Easy as it Could Get

Leverage AI-generated test data suggestions or create custom Test Data Profiles with simple prompts you can type into Copilot. Ready to level-up your testing?

Comparison of Leading AI Test Automation Tools

	BrowserStack	Mabl	TestRigor
Focus	Web + mobile real-device and browser cloud grid	AI-native low-code platform	Plain-English, codeless / low-code automation	Unified no-code/low-code Agentic AI test platform across web, mobile, API, desktop, Salesforce, and SAP
Test Types	Web + mobile browsers/devices	Web, mobile web, API	Web, mobile native/hybrid, API	Web, mobile, API, database, desktop
AI Capabilities	“BrowserStack AI” suite of agents for quality and coverage	Auto-healing, adaptive speeds, AI-based maintenance	Generative AI for test creation in plain English	AI agents for test generation, execution, maintenance/self-healing, optimization, and bug reporting
Code Skill Needed	Higher (scripting with Selenium/Playwright)	Low-code (some scripting for complex cases)	Very low-code (plain English)	Minimal (designed for QA teams)
Maintenance Effort	Moderate to high (script-based)	Low-moderate	Low (minimal maintenance claims)	Low (AI-driven self-healing)
Best For	Teams needing broad device/browser coverage	Teams wanting strong AI and low-code automation	Teams wanting the fastest time to test in plain English	Teams seeking full-lifecycle, unified AI test automation

What is AI Test Automation?

AI Test Automation is the practice of using artificial intelligence to design, execute, and maintain software tests more efficiently. It enables tools to learn from previous test runs, predict failures, self-heal broken test scripts, and automatically adapt to UI or logic changes. By reducing manual effort and improving accuracy, AI-powered test automation helps teams accelerate releases while ensuring consistent software quality across web, mobile, and API applications.

Features of Automated AI Testing Tool

Codeless Testing
Autonomous Test Automation
Single Platform Seamless Integration
Comprehensive Reporting

Benefits of Automated AI Testing Tool

Accelerated Test Execution

Speed up execution by running tests in parallel across multiple browsers, devices, and environments. Intelligent test selection ensures only relevant tests are executed, drastically reducing cycle time.

Enhanced Test Coverage

AI helps achieve 100% test coverage by automatically generating and maintaining tests for every critical workflow.

Self-Healing Test Scripts

AI-driven self-healing mechanisms automatically detect UI or logic changes and fix broken locators in real time.

Smarter Resource Optimization

AI testing software allows teams to accomplish more in less time by offloading repetitive, data-heavy testing tasks to intelligent systems.

Manual Testing vs Automated AI Testing Platform

	Manual Testing	Automated AI Platform
Speed & Efficiency	Slow and repetitive; each test case is executed manually, taking significant time and effort.	Executes thousands of tests in parallel, up to 10x faster, with minimal human intervention.
Accuracy & Reliability	Prone to human error, especially in regression or repetitive scenarios.	Highly accurate; AI reduces human errors by learning from past test runs and adapting automatically.
Test Coverage	Limited by human capacity and time constraints.	AI ensures 100% test coverage by auto-generating tests for all user flows and edge cases.
Maintenance Effort	High; test cases must be updated manually when application changes occur.	90% reduced maintenance with AI-powered self-healing that updates scripts automatically.
Scalability	Difficult to scale due to dependency on manual testers and time availability.	Easily scales across browsers, devices, APIs, and environments with autonomous execution.
Resource Utilization	Testers spend most of their time on repetitive tasks instead of strategic work.	AI handles repetitive tasks, freeing QA engineers, business analysts, and product owners to focus on innovation and optimization.