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Synthetic Users

Synthetic Users

AI users to test your app, catch bugs, and give feedback SaaS • Artificial Intelligence 13 142 Synter Media AI AI Media Agents for Growth Growth Hacking • Advertising • Artificial Intelligence

Overview

What it is

Jina is your AI QA engineer that tests apps end-to-end and catches bugs autonomously, at scale. It understands UI, code, and user intent. Doesn't rely on test scripts or CSS selectors and requires no maintenance.

Intent

I need it when

Ship fixes autonomously while maintaining security and compliance controls

Synthetic Users can open, validate, and merge fix PRs behind feature flags with full audit trails, or operate in human-in-the-loop mode. It runs in hermetic sandboxes, keeps application data within your infrastructure, and supports SOC 2 compliance and private VPC deployment.

Understand root causes of test failures quickly without investigation overhead

Synthetic Users groups related failures and provides traced explanations of root causes rather than stacktrace dumps. Engineers get a clear fix path instead of spending time investigating, enabling faster resolution and deployment.

Reduce manual QA effort and testing cycle time

Synthetic Users eliminates manual test case writing and triage by auto-generating targeted scenarios based on code changes. Hundreds of tests run in parallel and complete in seconds, replacing hours of manual testing and freeing QA teams from repetitive work.

Automate functional testing and catch regressions before they reach production

Synthetic Users (via Jina) generates and runs hundreds of test scenarios in parallel on every PR, identifying edge cases and critical issues automatically. It traces impact paths through a continuously updated model of your codebase and infrastructure, then ships fixes autonomously when root causes are clear.

Maintain test coverage for edge cases that manual test suites miss

Synthetic Users analyzes the world model of your product to identify edge cases your existing test suite wasn't written to cover. It reasons over a diff's blast radius and surfaces scenarios users actually hit, improving coverage beyond manual test design.

Drop

Not a fit when

  • When you need native mobile or desktop app testing (Jina currently supports web applications only)
  • When you require a fully manual QA process with no autonomous testing capabilities
  • When your application runs on legacy systems that cannot integrate with CI/CD pipelines
  • When you need real user testing rather than synthetic scenario-based testing
  • When your security requirements prohibit any external access to production signals or staging environments
Commercials

Pricing

Pricing not specified