Agent Device
CLI to control iOS and Android devices for AI agents
AI-Native Test Automation
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.
What you get
We build it, you keep it. A fleet of agents - PR checks, nightly walkthroughs, weekly bug hunts - cuts QA effort 10x.
One fixed fee anchored to the QA team reduction we deliver - no seats, no subscriptions, no retainer. The infra is yours after handover.
Real-device test execution on our open-source platform: agent-agnostic, secure by default, running from any CI runner. Proven at production scale.
Anyone writes a test in plain language; the agent turns intent into a real, repeatable run on every React platform: web, mobile, TV, and desktop.
The PR agent tests every change on a real device and posts evidence in minutes; nightly agents walk the full app and file regressions automatically.
Clear metrics on what's tested, what's missing, and what affects user trust - plus a deterministic e2e suite for critical flows that runs forever, token-free.
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.
Case studies




AI-Native Test Automation
We build your agentic QA infra, prove the cost reduction, and hand it over. Pay once, own it forever. No lock-in.
Their engineers proved to be a crucial part of our mobile app relaunch project.

We’ll connect you with the right expert within 24 hours.
Still have questions?
Yes. Everything lives in your repos, CI/CD, and cloud, and handover includes docs, and training. The fee is one-time and anchored to the QA team reduction we agree before kickoff - no seats, no subscription, no retainer.
Deterministic scripts only verify what you predicted in advance. Agents test with human-like judgment: exploratory flows, visual coherence, translations in context, edge cases nobody scripted. The manual QA work automation could never absorb is finally reduced - significantly.
Yes. Humans set intent and agents do the runs, so your team stays in control. After handover, one QA engineer supervising the fleet covers what previously took a team of ten.
Yes. The PR agent exercises each change on a real device and posts evidence - screenshots, recordings, findings - into the PR within minutes. Nightly agents file regressions straight into your tracker, no new dashboard to babysit.
You get clear metrics on what's tested, what's missing, and what affects user trust - plus a deterministic end-to-end suite covering critical flows, which runs without consuming AI tokens.
Yes. The infrastructure runs on Agent Device at production scale, so it fits apps already shipping. During migrations, agents validate legacy and new surfaces in parallel - you keep shipping while the platform changes underneath.