Nua provides an AI‑driven QA platform that automatically discovers bugs, reproduces them with detailed steps, screen recordings, and console data, and generates ready‑to‑paste fixes that are turned into self‑updating regression tests. By integrating with PRDs, tickets, and customer calls, it finds functional, UX, and visual issues that traditional testing misses, allowing development teams to ship faster while ensuring bugs stay fixed.
Funding
Funding not disclosed
Founders
Product
Problem
Developers often receive bug reports that lack reproducible steps, context, or clear diagnostics, forcing engineers to spend significant time recreating the issue before they can begin fixing it. This manual debugging slows release cycles, delays feature work, and increases the risk of regressions when fixes are not systematically tested.
Solution
Nua provides an AI-driven QA platform that automatically discovers bugs by exploring applications as a real user would, leveraging existing product requirements, tickets, and customer interactions. When a bug report is submitted, Nua reproduces the issue with detailed step-by-step recordings, console logs, and network traces, then generates a ready-to-paste code fix suggestion. After a fix is applied, Nua creates a self-updating regression test that adapts to future code changes, ensuring the defect does not reappear. The system operates with minimal integration effort—developers log in, grant optional codebase access, and receive fully reproduced bugs and fix prompts without manual test authoring.
Target Audience
Primary customers are software development teams building web applications who need to reduce debugging time and prevent regressions, including engineering managers, QA leads, and product teams responsible for maintaining release velocity.
Features
- Autonomous UI exploration that mimics real user behavior to uncover functional, UX, and visual bugs without predefined test scripts
- Automatic bug reproduction delivering step-by-step recordings, console error capture, and network request logs
- AI-generated fix suggestions formatted for direct insertion into popular coding assistants such as Claude Code or Cursor
- Self-updating regression tests that evolve with code changes, guaranteeing permanent defect resolution
- Integration of existing documentation sources (PRDs, tickets, customer calls, Sentry data) to prioritize and contextualize bug discovery
- Simple login-based onboarding with optional codebase access, eliminating complex integration projects