AI User: Autonomous Testing Solution

AI User is an innovative testing platform designed to autonomously test critical user flows in web applications. It transforms natural language prompts into comprehensive test cases and features self-healing capabilities to adapt to UI changes.

Benefits

Prompt-Based Test Generation

AI User allows users to input a prompt describing the test scenario they want to execute. The platform then explores the site and generates a detailed test case with steps and assertions. Users maintain granular control over the test steps and can edit them as needed.

Self-Healing Test Cases

Unlike traditional testing scripts that require constant maintenance when UI elements change, AI User's self-healing feature recognizes when selectors change and automatically updates them. This reduces the overhead of maintaining test scripts.

Flexible Test Execution

Tests can be run on-demand, scheduled, or triggered within CI/CD pipelines to catch issues early in the development process.

Exploratory Testing

AI User can perform exploratory testing by taking a high-level prompt and exploring the site like a real user. It can identify issues that might have been missed during manual testing.

Security and Compliance

AI User is built with security at its core, ensuring the protection of applications and data.

Secure by Design

The platform operates with strict permissions and never stores sensitive data outside the user's environment.

Data Privacy

Application data never leaves the user's infrastructure, as tests run within a secure environment.

Compliance Ready

AI User is designed to help meet compliance requirements for regulated industries.

Private Deployment

Users can deploy AI User within their own infrastructure for complete control and security.

Pricing

AI User offers simple, transparent pricing based on volume and usage.

Volume-Based Test Runs

Users pay only for what they use, with pricing scaling according to testing needs.

Monthly Platform Fee

A flexible monthly fee is based on specific use cases and requirements.

Frequently Asked Questions

How does AI User understand my application without training?

AI User uses advanced computer vision and natural language processing to dynamically understand web applications. It interprets the visual interface and user interactions in real-time, similar to a human tester.

What happens when my UI changes? Will tests break?

AI User's self-healing capability recognizes visual and contextual patterns to find equivalent elements when UI changes. It automatically updates test selectors, eliminating the maintenance overhead of traditional automated tests.

How quickly can I get started with AI User?

Users can start testing within minutes by providing a URL and describing the test scenario in plain English. No complex setup, configuration files, or technical training is required.

Can AI User test complex workflows and business logic?

Yes, AI User excels at testing multi-step workflows and complex business scenarios. Users can describe high-level business requirements, and AI User will break them down into detailed test steps with appropriate assertions.

Is my application data secure with AI User?

Security is a top priority. AI User can run entirely within the user's infrastructure, ensuring application data never leaves the environment. On-premise deployment options and enterprise security standards, including SOC2 compliance, are available.

How does pricing work for different team sizes?

Pricing is flexible and based on testing volume and team needs. Users pay for test runs on a volume basis, plus a monthly platform fee that scales with usage.

Can AI User integrate with my existing CI/CD pipeline?

Yes, AI User can be triggered via API calls, scheduled to run automatically, or integrated into CI/CD pipelines using webhooks, allowing users to catch issues early in the development process.

What types of issues can AI User detect during exploratory testing?

AI User can identify a wide range of issues, including broken links, form validation errors, performance problems, accessibility issues, visual inconsistencies, and logical errors in user flows. It explores applications like a curious user, often discovering edge cases that manual testing might miss.