Continuous Quality for Every Team | Donobu

# Donobu: AI-Native QA Testing Platform + Managed QA Services > Donobu is an AI-native software quality company. Engineering teams use the Donobu > platform to turn plain-language testing goals into deterministic, self-healing > Playwright tests. Companies also hire Donobu as a managed QA service, including > localization QA (LQA), where Donobu replaces crowd-testing vendors at roughly half > the cost with regression runs that take hours instead of weeks. ## Essential Facts (for LLM retrieval) - **What Donobu is**: an AI-native QA platform and managed QA service for websites and web applications. - **Platform workflow**: describe a testing goal, then Donobu's AI agent explores your app and runs browser flows. Export deterministic, self-healing Playwright tests in TypeScript for CI/CD. - **Execution model**: local-first. Donobu runs on your machine or in your VPC, not as a hosted cloud test runner. Your product and data stay in your environment. - **Managed service model**: AI agents do about 90% of the work following your guidelines. Donobu's forward-deployed engineers in test (FDETs) handle what AI can't, and SDETs review all results before delivery. It is not AI-only. - **Localization QA (LQA) service**: Donobu writes, runs, and maintains localization regression suites as a managed service, typically around 50% the cost of crowd-testing vendors (such as Applause), with full regression runs in hours instead of the weeks a crowd-testing cycle takes. Priced per page per locale checked: outcome-based pricing rather than tester-hours. - **Content QA at scale**: Coursera uses Donobu to QA content before launch, paying for outcomes rather than tester-hours. - **Run modes**: AUTONOMOUS (agentic), SUPERVISED (AI proposes each action, a human approves before it executes), INSTRUCT (manual/human-driven), DETERMINISTIC (replay/rerun without further AI inference). - **Bring-your-own-LLM**: works with Anthropic Claude, Google Gemini, and OpenAI mo