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R

RelicX

RelicX utilizes Generative AI to automate end-to-end and user acceptance testing by allowing users to define testing goals in natural language, which it then intelligently executes. This approach significantly reduces the time and manual effort required for debugging customer experience issues and validating real-world user flows.

Menlo Park, United StatesFounded 2020
Updated 4 months ago

Funding

$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional end-to-end and user acceptance testing requires significant manual effort and complex scripting, making it difficult to quickly debug customer experience issues and validate real-world user flows. Existing testing tools often rely on static locators, making tests brittle and prone to failure with UI changes. Furthermore, these tools typically cannot test visual components such as Canvas and images.

Solution

Relicx is a Generative AI-powered testing platform that automates end-to-end and user acceptance testing. The platform allows users to define testing goals in natural language, which the AI then intelligently executes. Relicx Copilot analyzes these goals, determines the necessary actions, and interactively executes these steps to validate outcomes. The platform autonomously generates test cases by exploring the application and adapts to workflow changes with smart selectors and built-in retries.

Target Audience

Relicx is designed for software development teams, QA engineers, and product teams focused on automating end-to-end and user acceptance testing to ensure a high-quality customer experience.

Features

  • Generative AI-powered agentic workflow implementation (Relicx Copilot)
  • Natural language test creation
  • Autonomous test case generation through application exploration
  • Self-healing intent-driven tests that adapt to UI changes
  • Advanced vision technology for testing visual components (Canvas, images)
  • Automated identification of visual issues
  • User session capture for aligning tests with real-world scenarios
  • Robust API and CLI for seamless integration with CI/CD pipelines
  • End-to-end encryption and row-level database security
  • SOC2 Type 2 certified
This profile is AI-generated and may contain inaccuracies.