
Propolis
AI-powered autonomous browser agents for QA automation.
Propolis ProductInformation
What is Propolis
Propolis automates away all QA needs by developing intelligent agents that can understand and walk through your application, surfacing bugs and errors as they find them. It unleashes AI swarms that eliminate manual QA by testing like real users. Its autonomous browser agents explore all product flows, find bugs, and adapt instantly to changes, allowing users to ship faster with confidence.
How to use Propolis
To use Propolis, you deploy swarms of autonomous browser agents that run hundreds of user-like sessions simultaneously on your product. These agents learn how to use your product through exploration, just like real users would, requiring no scripting or setup. You can run these swarms on your own cadence and conditions, such as every deploy, every merge, at random intervals, or targeted times for spot checks. After deployment, you receive immediate understanding of where and how things are breaking, with traces sent directly to your engineering team.
Core features of Propolis
- AI-powered autonomous browser agents
- Eliminates manual QA
- Tests like real users
- Explores all product flows
- Finds bugs and errors
- Adapts instantly to changes
- Full QA coverage
- Zero setup (no scripting required)
- Simulates real users via swarms
- Runs hundreds of user-like sessions simultaneously
- Immediate understanding of breaking points with traces
- Customizable run schedules and conditions
- Enhanced bug reporting (Pro plan)
- Enterprise-grade compliance (Enterprise plan)
Use Cases of Propolis
- Automating all QA needs for web applications
- Testing product flows to find bugs and errors before deployment
- Simulating real user interactions for comprehensive testing coverage
- Running continuous tests on every deploy or merge for faster shipping
- Reducing manual QA effort and test maintenance for engineering teams
- Ensuring better user experience by handling every possible scenario
- Gaining data-driven insights on where users struggle with the product
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