Annual Defect Report 2026Download

FAQ

Everything teams ask before they start

How the robots work, what they can test, and how Credits and Unlimited are priced. Don't see your question? Ask us directly.

General

Mobot builds and operates human-supervised mechanical robots that automate mobile app testing on real, physical iOS and Android devices. Robots execute the tests; QA analysts verify every result before it reaches your team.

Mobot uses robots and computer vision to automate physical app testing on a fleet of 300+ real devices. AI-assisted authoring turns your critical test cases into robot test scripts, the fleet executes them in parallel, and a QA analyst reviews every failure so what lands in your backlog is a real, reproducible defect with video, logs, and reproduction steps.

Scripted frameworks and software-based managed suites drive an app through software — injected touch events on an emulator, simulator, or cloud device. Mobot is the only solution where a robot physically actuates a real device: real taps on real glass, real push delivery, real Bluetooth pairing, real biometrics. That is why Mobot covers the scenarios those tools structurally cannot, and why there are no scripts for your team to maintain.

Yes — 100% real, physical Android and iOS devices. No emulators, no simulators, no virtualized devices.

On average, the robot fleet completes in one day what would take a human tester five days. Submit a build at end of day and get verified results by morning.

Very little. Once you provide access to your builds, accounts, and existing test plans, your dedicated Mobot contact takes over: test cases are authored, validated, and running within 24–48 hours on average.

Because the robots see the screen with computer vision rather than relying on element selectors, most UI changes don't break tests. When a flow genuinely changes, Mobot updates the test plan for you — there is no script maintenance on your side.

Most test runs are turned around the same day, and builds submitted by end of day come back with verified results by morning.

Computer vision compares each step against an established baseline to mark it passed, failed, or flagged for review. During onboarding we set that baseline with you. Every failure is then reviewed by a QA analyst before it is reported.

A result is flagged when the robot detects a difference and your analyst isn't sure your team would call it a bug — for example, a login button that changed color. The analyst confirms with you once, and future reports classify that change the way you want.

Yes. You choose the devices and OS versions for each test with your Mobot contact, and you can change the configuration as your user base shifts.

Today, all robots live and work in Mobot’s New York lab. Teams that need an on-premises fleet can apply for Mobot Labs, launching in 2027, which pairs Mobot robots and platform with training and certification for your own team.

Apps are installed through standard distribution channels on test devices that reach your APIs through secured, internal Mobot networks. Reports and artifacts such as screenshots and video are secured end to end. Security documentation is available for enterprise procurement.

Testing support

Yes. Test plans can include a mobile app and a third-party device — Apple Watch, fitness trackers, headphones, POS hardware, and other Bluetooth peripherals.

Mobot integrates with Slack, Jira, and TestRail today, and results are available in the Mobot platform for every run. If your integration of choice is missing, tell us — we're always adding more.

Yes. Mobot can exercise in-app purchases and payment flows with real cards on real devices.

Yes. Test plans can run under different geolocations and locales.

Yes. Biometric flows run against the real secure enclave with strategic human intervention where the OS requires a live person.

Yes — SMS codes, authenticator app codes, and QR-based flows can all be included in a test plan.

Yes. Mobot is one of the only solutions that can place multiple physical devices side by side for a single robot — messaging, push notifications, and multi-device flows are tested with a real sender and a real receiver.

Mobot supports multi-hour testing cycles.

Mobot can handle some performance testing, including battery usage, but is not designed for load or stress testing.

Yes. Dark mode, light mode, orientation changes, text-size changes, and other device-level accessibility settings can be part of any test plan.

A Mobot team member intervenes, diagnoses, and resolves the issue so testing resumes — you never see a partial or unverified result.

As the robot executes each step, screenshots, video, device logs, and network logs are captured. Your analyst reviews the run, adds notes where needed, and publishes the report to the Mobot platform and your chosen integrations.

Pricing

Two ways. Credits meter testing by action — a robot tap, swipe, or drag on a physical device — so you can start small and prove the value. Mobot Unlimited replaces per-run credits with all-you-can-test access across the full fleet for one flat annual rate.

An action is a single robot tap, swipe, or drag on a physical device. Credit plans include a predefined number of actions per month.

Unlimited test runs across unlimited applications, no credit metering, high-frequency regression on the latest devices and OS releases, a dedicated Technical Account Manager, a seat on the Customer Advisory Board, a speaking slot at the 2027 Mobot User Conference, and early access to Mobot Labs.

Mobot’s standard agreement is annual. Shorter commitments are available for teams that need flexible terms to get started.

Open-source frameworks are free to download; the cost is the engineering time to author scripts, keep them passing through every UI change, run device infrastructure, and triage flaky failures — and that cost scales with release velocity. Mobot's price is the whole program: authoring, execution, devices, and human verification, with no scripts for your team to maintain.

Still have questions?

Talk to the team. We'll walk through your app, your devices, and what a verified defect report looks like on your build.