AI test automation that generates, runs, and heals Playwright tests.
Product memo
For who
AI-speed teams needing automated test verification
Solves what
Automates test generation, execution, and healing for AI-generated code.
- AI test generation from specs
- Self-healing test suites
- CI/CD integration and gates
In their own words
AI ships code 10× faster. Who verifies it?
QualityMax is the Generate → Gate → Heal layer that catches what breaks and what leaks — before it ships.
The Generate → Gate → Heal layer that catches what breaks and what leaks — before it ships.
Commercial cues
Model
hybrid
Free tier
Yes
Trial
Available
Operator context
Team
VC / larger team
Founded
May 2026
Customers
800+
Platform
Web app
Audience
Developers
Social / footprint
and 2 more
Builder Strategy
- Strategy Type
- Ai Wrapper
- Stage
- Vc Growth
- Effort
- Complex Stack
Targets AI-speed dev teams with a 'Generate-Gate-Heal' workflow, converting via rapid CI gate integration and self-healing tests.
Unfair Advantages
-
Proprietary Data RAG-grounded generation uses actual app renders, not guesses, for test stability.
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Unorthodox Pricing Free tier with BYO LLM keys bypasses incumbent AI model lock-in.
Builder Lesson
Leverage multi-model LLM routing to offer resilience against single-provider outages, a key differentiator for AI-dependent tools.
About QualityMax Expand
QualityMax is an AI test automation platform designed to keep pace with the rapid development cycles enabled by AI code generation tools. It provides a comprehensive solution for teams using AI assistants like Claude Code, Cursor, and Copilot, who often struggle to verify code quality at the same speed it's produced. The platform automates the entire testing lifecycle, from generating new tests to executing them and even self-healing broken tests.
Its core value proposition is a "Generate → Gate → Heal" layer that catches defects and security vulnerabilities before they ship. By integrating seamlessly into CI/CD pipelines and supporting Playwright tests, QualityMax ensures that AI-generated code meets quality standards without becoming a bottleneck. This approach helps developers maintain high velocity while delivering reliable, secure software.