CarbonCopies AI
AI twins mimic user interactions to run automated UX/functional testing and detect bugs in apps/websites.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for CarbonCopies AI, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
CarbonCopies AI builds autonomous agents (“AI twins”) that replicate real user behavior (taps, swipes, type, navigation) to test apps and websites. These agents uncover UI/UX issues, generate flowcharts, document screens, and file bug tickets automatically. The platform is no-code, supports multiple user personas, and aims to reduce manual QA burden. Based in Singapore, founded in 2024.
Key features and capabilities
- UX testing
- UI automation
- AI twin
- no-code testing
- user simulation
- bug detection
- flow documentation
Use cases
- Product teams wanting to validate UX across devices and detect hidden bugs.
- QA / testing groups aiming to automate exploratory and functional testing.
- Teams needing no-code setup for type, swipe and navigation workflows.
- Startups or enterprises wanting continuous test coverage without manual scripting.