// autonomous quality assurance

AI agents that test software like real testers.

Oncomloops is an early-stage software company building autonomous QA tooling. Our agents crawl web and mobile apps, understand every screen with vision-language models, and turn what they see into executable, evidence-backed test suites.

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What we're building

Practical automation that replaces hours of manual QA work with verifiable, reproducible agent runs.

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Test Discovery Engine

Autonomous crawling of web and Android apps. An LLM with vision reads each screen the way a human tester would, then emits structured test scenarios — happy path, negative, and boundary cases.

crawl → vision → scenarios
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Agentic QA Runs

Generated scenarios execute as real automation on Playwright and Appium. Every run ships with verifiable artifacts: screenshots, logs, and measured metrics instead of anecdotal pass/fail.

playwright · appium · evidence
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CI Regression Pipelines

Suites plug into continuous integration so every build gets a full autonomous regression pass — with a human-readable report at the end, not a wall of noise.

ci/cd · reporting · gates

How it works

One pipeline, three steps, fully autonomous after kickoff.

  1. Crawl. The agent explores the app — routes, forms, flows — and maps every reachable state.
  2. Understand. A vision-language model interprets each screen and reasons about what can break.
  3. Test & report. Scenarios run as executable automation, producing audit-ready evidence per run.