ContextQA

ContextQA is an AI-native test automation platform that generates and self-heals end-to-end tests across web, mobile, APIs, and AI agents without a per-seat licensing model.

About ContextQA

ContextQA is an enterprise test automation platform built from the ground up as an AI-native solution. Unlike legacy tools that bolt AI onto older record-and-playback cores, ContextQA focuses on agentic test generation directly from plain English, Jira, Figma, Swagger, or video inputs. It provides comprehensive coverage across web, mobile, APIs, and complex enterprise environments like Salesforce and SAP.

By eliminating the traditional per-seat licensing tax, ContextQA encourages collaboration across QA, engineering, and product teams. The platform offers clean code export to standard frameworks like Playwright, Selenium, and Cypress, preventing vendor lock-in while integrating deeply with modern CI/CD pipelines.

Key Features

AI Test Creation: Generates test cases dynamically from plain English, Jira tickets, Figma designs, or Swagger documentation.
Agentic Testing: Natively validates AI agents, voice agents, and modern LLM-driven workflows alongside traditional web applications.
Built-in Self-Healing: Automatically adapts to UI shifts and codebase updates out of the box, reducing manual upkeep.
Code Export: Provides clean, standard code exports to Playwright, Selenium, Cypress, and WebdriverIO.
Model Context Protocol (MCP): Features an MCP server for seamless integration with Claude Code, Cursor, and VS Code.
Enterprise ERP Support: Offers dedicated testing capabilities for complex platforms like Salesforce, SAP, and other ERPs.

Pricing

Starter Plan: Custom Quote Ideal for teams proving out AI-native testing on a first app or two. Includes web, mobile, API testing, self-healing, and CI/CD integration.
Growth Plan: Custom Quote Adds AI root-cause analysis, visual regression, MCP server access, and priority support.
Enterprise Plan: Custom Quote Adds Salesforce/SAP testing, AI agent testing, SSO, on-prem deployment options, and a dedicated CSM.

Pricing is usage-based and built around your actual testing footprint (apps, AI agents, release cadence) rather than seat counts. No per-seat tax is applied.

Use Cases

Generating tests directly from Jira requirements
Validating AI and voice agent conversational flows
Cross-platform regression testing (Web, Mobile, API)
Enterprise ERP (Salesforce, SAP) release assurance

Pros & Cons

Pros:

Unlimited seats due to footprint-based pricing model
No vendor lock-in with clean code export to standard frameworks like Playwright
Native support for testing AI agents and Model Context Protocol (MCP)

Cons:

Custom pricing model requires a discovery call to determine costs
Advanced enterprise features are locked behind the highest tier

Integrations

Playwright, Selenium, Cypress, WebdriverIO, GitHub, GitLab, Jenkins, Jira, Figma, Cursor, VS Code

FAQ

How is ContextQA priced?

ContextQA is priced on usage and outcomes based on what you actually test, not how many people log in. There is no per-seat tax, so QA, engineering, and product teams can all use it without expanding the bill.

Do you offer a free trial or pilot?

Yes. Most teams start with a scoped pilot on a real application in their environment, allowing them to see ContextQA generate and self-heal tests against their own product before committing.

What actually happens on the demo call?

The ContextQA team reviews your specific stack (web, mobile, API, Salesforce, AI agents) and demonstrates the platform generating tests against an environment similar to yours to properly size a plan.

Can I move between plans as we grow?

Yes, plans are designed to scale. Teams often start on the Starter or Growth tier for a single app and upgrade to Enterprise when features like SSO or SAP testing become necessary.

Categories:

AI Testing Tools Dev Tools Software Testing Tools