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Klarent vs Unfix

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Klarent compared with Unfix
DetailKlarent logo KlarentUnfix logo Unfix
What it doesAI-powered autonomous QA platform for web, iOS and Android testing Independent verification for bug fixes in C, C++ and firmware
StageNot given MVP
Founded2023 Not given
Based inCH Not given
Pricing modelContact for pricing Not given
PricingNot given Not given
Key features
  • Multi-agent AI system that plans, verifies, builds, and self-heals tests
  • Natural language test creation from plain English instructions
  • Automatic test discovery from URLs, PRDs, Jira tickets, and Figma links
  • Self-healing tests that repair when UI changes
  • Test organization with hierarchical folders and test suites
  • Flexible execution: on-demand, scheduled, and CI/CD-triggered
  • Parallel execution across browsers and viewports
  • Test results delivered to Slack, Teams, or email
  • Test data management with variables, secrets, and assets
  • Reproduces bugs deterministically on base version before applying fix
  • Verifies fix removal confirms bug returns
  • Scans diffs for masking patterns like disabled sanitizers and weakened tests
  • Runs on real hardware via STM32 NUCLEO boards and ST-Link
  • Integrates with AI coding agents as MCP tool
  • Posts verdicts as GitHub pull request comments
  • Provides per-test verdicts: FIXED, BROKEN, FLAKY ON THE BENCH, FLAKY WORSE
  • Runs entirely on your machines with no cloud dependency
  • Generates reports for change records and regulatory compliance
  • Runs builds and tests in Linux container on your machine
What makes it different
  • Tests are created and maintained without code, from plain English descriptions
  • Self-healing tests automatically adapt to UI changes without manual rewrites
  • Multi-agent system with automatic test planning, generation, verification, and execution
  • Only verification tool that reverses the fix to prove tests actually catch the bug
  • Deterministic verdict with no AI language model in decision logic
  • Tests on real hardware boards, not just laptops
  • Detects masking techniques that hide bugs while passing tests
  • Validated public benchmark showing 4 VERIFIED and 6 REJECTED on real open-source bugs
Community votes00
DR (Domain Rating by Ahrefs)26 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)80
Citation Flow (Majestic)310
Referring domains (Majestic)730

3 details filled in for both companies.

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