Test websites, mobile apps, APIs and digital products with AI, your own team, or real users from a global testing marketplace — in one workspace, from the first test run to production monitoring.
No credit card. The run panel shows a finished sample — enter your address to watch the same sequence, then create a free project to scan your product for real.
Steps, screenshot, network log and console trace captured
Reproduced on Chrome 141 and Safari 18
Create a free project to open the report, assign fixes and re-run the failing tests.
Every test type shares one project, one catalogue of test cases and one issue tracker — so a bug found by AI on Tuesday is the same record a human tester retests on Friday.
Then let it explore. The agent opens your product, follows the workflows a real user would, and then does what test scripts never do — tries the unexpected, the invalid and the half-finished, and records everything it breaks.
Same project, same test cases, same issue list. Only the hands change — and you can change them per test suite, per release, or per run.
Selected on this page: AI testing. You can mix methods inside one project — AI for regression, humans for first-time journeys.
Get your product tested by real people, on real devices, in the countries and languages your customers actually use. Write the brief once — the platform recruits, validates the submissions and pays the testers.
Need 20 Android users from Egypt to test your mobile app? That is one campaign.
Ranked by quality score, device match and how often their reports survive review. Sample profiles.
Build a tester profile, list your devices and skills, and pick up paid tasks from companies that need your exact setup. Report what breaks, upload the evidence, get paid per accepted submission.
Every submission is reviewed. Quality — not volume — decides who sees the best-paid tasks.
Projects hold test suites, runs and issues. Everything below is one sample project — an e-commerce mobile app, mid-release.
Every finding arrives as a report a developer can act on without asking a single follow-up question — written by AI from what actually happened during the run, and complete before anyone opens it.
Retests are automatic: mark a bug fixed and the exact test case that found it is queued again — to AI, to your team, or back to the tester who reported it.
Drop a PRD, SRS, user stories or an OpenAPI file
PDF, DOCX, MD, JSON, YAML — or paste a link to Confluence or Notion
Use a sample PRD
Upload what the team already wrote. AI reads every requirement, writes the test cases that prove it — including the negative and edge cases people skip — and keeps them linked to the requirement, so a changed line in the PRD flags exactly which tests to review.
Test cases stay editable. Nothing is generated into your project without a review step.
Health is broken down by the thing that actually broke, with the failing tests and their evidence one click away. Sample data from the project above.
Connect your repository or CI. Every release triggers the regression suite, and the platform answers one question in plain language — with the blockers named, not a number to interpret.
3 blockers must close before this build ships. Everything else has passed or is accepted risk.
The journeys that make you money get tested on a schedule, from real browsers and real devices — so you hear it from the platform, not from a customer.
Bugs land where your team already works. Connected integrations are live today; the rest are on the roadmap and marked as such.
Platform plans cover projects, AI runs and your own team. Human testing from the marketplace is usage-based — you pay per accepted submission, and see the cost before a campaign goes live.
Final prices are being set with early customers. Every plan shows AI run limits, seats and marketplace rates before you commit.
Still unclear? Talk to us.
Create a project, pick what to test, and choose who runs it — AI, your team, real testers, or all three. The first project is free.
No credit card · Free plan stays free · Cancel any time