Why We Built BugBrain
We're QA engineers who got tired of the same problems: slow testing, flaky automation, and tools that don't work. So we built something better.
The Problem We Saw
QA was broken. Teams were stuck with two bad options: slow manual testing that couldn't keep up with releases, or brittle automation that broke every time the UI changed.
Meanwhile, AI was transforming everything else in software development. Code generation, code review, even design — all getting smarter. But QA tools? Still stuck in 2015.
We knew there had to be a better way. AI that could generate tests, maintain them automatically, and work alongside human QA experts — not replace them.
Our Solution
BugBrain combines AI-powered automation with on-demand human expertise. AI handles the repetitive work — generating tests, maintaining them, running them at scale. Humans focus on what they do best: exploratory testing, edge cases, and making judgment calls about quality.
AI-Native Platform
Built from the ground up with AI at its core — not retrofitted automation scripts. Tests that generate, heal, and improve themselves.
QA Experts On-Demand
Access experienced QA engineers when you need them. For projects, sprints, or ongoing support — without the hiring overhead.
Our Principles
These aren't just values on a wall. They guide every feature we build and every decision we make.
QA-first thinking
We build for QA engineers, not just developers. Every feature is designed with testing workflows in mind.
AI that explains itself
Our AI shows its work. You can see why a test was generated, why it failed, and what it recommends.
Humans where it matters
AI handles the repetitive work. Humans focus on exploratory testing, edge cases, and judgment calls.
Transparent reporting
No black boxes. Real-time dashboards show exactly what's tested, what's passing, and what needs attention.