Agent Device
CLI to control iOS and Android devices for AI agents
AI-Driven QA & Testing

Trusted by 100+ Enterprise clients
Why test with Callstack
We wire AI QA into local workflows, pull requests, CI, and hosted or on-prem environments. Teams catch regressions, accessibility gaps, and release risks without slowing implementation down.
We configure QA agents to run in your local workflows, CI, and hosted or on-prem environments.
Access to the UI tree, native profilers, and visual diffs makes issues easier to investigate.
Setup is lightweight and it works with any framework that runs on device.
Services
Test Automation
Run automated checks against code written by engineers and agents, so QA keeps pace with faster implementation.
Product Validation
Review AI-written UI and logic before merge, so speed does not introduce regressions, edge-case failures, or bad implementation choices.
Validate behavior across platforms from one QA flow, so shared code does not hide platform-specific issues.
Check interfaces for accessibility issues during delivery, helping teams catch compliance gaps before release.
QA Infrastructure
Test on physical devices, where performance, gestures, and native integrations behave differently than in simulators.
Run the same QA agent inside your own infrastructure or in hosted environments, depending on policy and scale.
Scope → Build → Scale
We select a product workflow, define where agents act, and agree the controls and success measures.
We connect context, agents, and verification to your tools, then run the workflow on your product backlog.
We document the workflow, transfer ownership, and extend it across teams and products based on results.
Expensify uses agent-device for bug evidence. Its usage story covers collecting evidence from mobile apps and profiling.
Testing utilities in our open-source toolkit for checking React Native behavior.
Case studies



