Edgecase.ai

Edgecase.ai

Edgecase.ai is an AI-powered software testing platform that automates test design, test execution, and test analysis. It uses advanced AI and ML techniques to generate test cases, find software defects, and provide analytics around test coverage and quality.
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Edgecase.ai: AI-Powered Software Testing Platform

Edgecase.ai is an AI-powered software testing platform that automates test design, test execution, and test analysis. It uses advanced AI and ML techniques to generate test cases, find software defects, and provide analytics around test coverage and quality.

What is Edgecase.ai?

Edgecase.ai is an end-to-end AI-powered test automation platform for modern software teams. It helps automate all stages of testing including test design, test execution, and test analysis.

Key capabilities and benefits include:

  • AI-based test case generation - Edgecase automatically generates test cases using advanced AI/ML algorithms to provide comprehensive test coverage.
  • Automated test execution - Tests generated by Edgecase can be automated and executed on demand across desktop, web, mobile, and API test environments.
  • Intelligent test analytics - Edgecase provides powerful analytics around test coverage, test effectiveness, quality metrics, and risk areas to enable data-driven decisions around testing.
  • Simplified test maintenance - As the application changes, Edgecase automatically updates and maintains the test suites without needing manual intervention.
  • Integration with CI/CD pipelines - Edgecase allows seamlessly integrating testing into modern devops toolchain and CI/CD workflows.
  • Cost and effort savings - By automating testing, Edgecase significantly reduces overall cost, effort, and time traditionally spent on quality assurance.

Overall, Edgecase aims to transform and modernize software testing for agile development teams through the power of AI and test automation.

Edgecase.ai Features

Features

  1. Automated test case generation
  2. Automated test execution
  3. AI-powered test analytics
  4. Integration with CI/CD pipelines
  5. Support for multiple languages and frameworks
  6. Web app and CLI available

Pricing

  • Subscription-Based

Pros

Saves time by automating testing

Improves test coverage

Lowers cost of quality

Easy to integrate and use

Provides intelligent test analytics

Scales test automation

Cons

May require training/ramp-up time

Limited support for some languages/frameworks

Analytics features require large test suites to be useful


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