# Mobot: full text digest

> Plain-text digest of key public pages on www.mobot.io, built from published copy. Index: https://www.mobot.io/llms.txt

For agents: Mobot's MCP server gives agents read-only access to test reports, test cases, observations, and device/network logs.

# Home
URL: https://www.mobot.io/

Robotic mobile testing · human-verified
## Real Robots. Real Devices. Real Defects.
Mobot testing robots run your Mobot test cases on real iPhones and Android phones, and a QA analyst verifies every failure before it reaches your team. Your engineers get real, reproducible defects, with no scripts to write or maintain.
Built for mobile-first teams whose product depends on the phone: payments, scanning, pairing, notifications.
- Real phones, operated by robots. No simulators.
- AI-authored tests. No scripts for your team to maintain.
- Every failure validated by a QA analyst before you see it.
P0 verified by a QA analyst. Device screenshots, device log, and repro steps attached.
Proven in production with mobile teams
Trusted by Leading Mobile Teams
### Scripted Automation Is Flaky. Simulators Are Blind.
#### Blind
Emulators and simulators structurally cannot exercise push notifications, Bluetooth, biometrics, camera hardware, or carrier network transitions—so they pass tests that fail in the real world.
Emulators and scripted frameworks only test what they can simulate. Mobot tests your app the way your users use it: on real iOS and Android devices, with real hardware.
Switching from Appium or Maestro?
### We'll convert your Appium or Maestro tests for free.
Share the tests you already have. Mobot's team rebuilds them as Mobot test cases, and Mobot testing robots run your Mobot test cases on real iOS and Android devices. Your Mobot contact reviews the converted test cases with you before they run.
#### Model your Appium cost
Enter your own numbers. Every input is yours; nothing is assumed.
#### The Real Cost of Appium at Scale
Where the hidden labor goes: scripts, locator fixes, device and OS upkeep, flake triage and infra.
#### Mobot vs Appium
Scripts or managed real-device QA.
#### Mobot vs Maestro
Real-device robots vs YAML flows.
### High-Signal QA: Every Defect Is Real
#### Physical Testing on Real Devices
Robots execute tests on actual phones and tablets—real taps, real swipes, real sensors—not simulated input events. Hardware-dependent defects are invisible to emulators, and they’re the ones that hit production.
#### Expert-Verified Results
Every defect is triaged and verified by a Mobot QA analyst before it reaches your team. You only ever see verified, reproducible defects with forensic evidence attached—the noise never makes it to your backlog.
#### A Platform Built for Scale
Mobot’s software authors test cases, executes massively in parallel across the robot fleet, and delivers deep defect forensics. This isn’t a body shop with robots—it’s a repeatable, consistent platform.
#### Always-On Operations
Onshore and offshore operations keep testing moving across time zones, so verified results come back without waiting on your team.
### Ready for the agentic software factory
Your coding agents ship more code than ever. Mobot AI and Mobot’s team build your test cases, and Mobot testing robots run them on real iOS and Android devices.
Every defect comes back verified by a QA analyst, with screenshots from the device, logs and reproduction steps, structured for your engineers and the agents working alongside them.
How It Works
### From Build to Verified Defect
#### Submit a Build
Point us at your app. Our team scopes the test cases that matter most.
#### Robots Test on Real Devices
Robots run your Mobot test cases on real hardware, in parallel, across the fleet.
#### Verified Defects, Delivered
A QA analyst verifies every failure before it reaches you—with screenshots from the device, logs, and reproduction steps.
Unified automation for every team
### One platform, every mobile team
Mobot connects engineering, QA, and product around a single source of truth: verified defects on real devices. Choose your role to see what changes.
Mobot for Engineering
#### Automate tasks and accelerate development with AI-driven robotics
Engineering teams bogged down by manual processes and script maintenance can’t focus on innovation, leading to slow releases and technical debt.
- Focus on innovation, not hotfixes Catch issues before they reach users so engineers can prioritize building new features.
- Accelerate release cycles Submit a build through your usual channel; verified results come back without a repair cycle.
The app crashes intermittently when users attempt to log in with Face ID.
### What Changed for Teams That Switched to Mobot
150k+ small businesses · 100+ E2E cases per platform · Real-device regression
20M+ Users · Increased device coverage by 2100% · Streamlined test processes
35M+ Monthly Active Users · Prevented losses from failed marketing flows
3M+ Global Users · Improved app experience · Enhanced user retention
Robot-powered testing drives results
### Start Where You Are
#### Credits
Buy testing actions, point us at your app, see the defect report. Low-friction to start, procurement-friendly.
#### Mobot Unlimited
Unlimited test runs across unlimited apps on 300+ real devices. One flat annual rate, no credits, no caps — by invitation.
- Unlimited runs, every month
- Dedicated Technical Account Manager
- Mobot Labs early access
#### See What Your Emulators Are Missing
Get a real, verified defect report from Mobot's robots and QA analysts—on your app, on real devices.
6,372 real bugs across 83 apps and 11 industries. See what actually breaks in your vertical — free, gated with a work email.

# Platform and how it works
URL: https://www.mobot.io/platform

The Mobot Platform
## Automate the unautomatable, end to end
Four layers that take a mobile app from generated test case to validated release — executed by robots on real iOS and Android devices, not emulators, and verified by QA analysts before anything reaches your team.
Four layers that take a mobile app from generated test case to validated release — executed by robots on real iOS & Android devices, not emulators.
AI explores your app builds and generates Mobot test cases for the flows that matter, then validates and optimizes each one for coverage and stability before it reaches the fleet.
Executes Mobot test cases on physical hardware with minimal manual intervention — computer vision recognizes on-screen UI and drives taps, swipes, and gestures.
Mechanical robots physically drive real iOS and Android devices the way humans actually use them — up to 3 devices at once for parallel, cross-OS coverage.
Trusted by Leading Mobile Teams
How it works
### From build to verified defect. Zero scripts on your side.
#### Show us the flow
Record a quick video, share a test plan, or just share the build. AI-assisted authoring does the rest.
#### Choose devices & OS
Pick the iOS and Android devices and versions that match your users. Change them any time.
#### Mobot builds the tests
Mobot’s team and Mobot AI build the test cases, then validate and optimize them for coverage and stability — no code on your side.
#### Robots test in parallel
The fleet executes in parallel on real devices. Every step is captured: screenshots, device and network logs.
#### Analysts verify results
Side-by-side baseline vs. actual, pass/fail flags, and analyst notes. Noise never reaches your backlog.
#### Fix and release with confidence
Verified defects land in Slack, Jira, or TestRail with everything an engineer needs to reproduce and fix.
### Physical actuation, not simulated input
Mobot's robots physically tap glass, present real barcodes to a real camera, and pair with real Bluetooth peripherals. This is not software-injected touch events or mocked sensor data — the inputs are as real as the hardware under test.
### Coverage that writes itself — and holds up
AI explores your app build and generates Mobot test cases for the flows that matter: onboarding, login, payments, notifications, and the hardware-dependent flows that never make it into a scripted suite. Each test case is validated and optimized for coverage and stability before it reaches the fleet.
- Mobot test cases generated from your build — no code, no YAML, no recorder
- Validation pass catches ambiguous steps before a robot ever runs them
- Coverage optimization prioritizes the suites that reach production broken
The robot reads the screen like a person: a primary button, bottom of the checkout flow, with continue-style copy. Most UI changes don't break the test, and when a flow genuinely changes, Mobot updates the test case for you. The robot taps it on real glass and verifies what happens next.
### Orchestration, defects, and analytics in one place
Suites are assigned to robots and devices, queued and scheduled around your release calendar, and tracked action by action. When a run finishes, verified defects and analytics are reported into the Mobot platform and the tools your team already lives in.
- Suite management and queue scheduling across the fleet
- Side-by-side baseline vs. actual screenshots for every step
- Defect patterns across devices, OS versions, and builds
- Slack, Jira, and TestRail integrations
#### Promo deep link opens the home screen instead of the promotion
After tapping the “Holiday 20% off” push notification, the app launches but resolves the deep link to the home tab. Reproduced on 3 of 3 attempts. Not reproducible when the app is already in the foreground.
- 1 Launch app from cold start
- 2 Tap promo push notification
- 3 Deep link resolves to promo screen
- 4 Add promoted item to cart
### Computer vision executes the test on real hardware
- CV-driven interaction: reads the rendered screen, not the view hierarchy
- Scripted execution with human intervention only where the OS demands a person
- Consistent, identical execution on every run, on every device
### Real devices, real gestures, in parallel
Mechanical robots physically drive real iOS and Android devices the way humans actually use them. Each robot handles up to three devices at once for parallel, cross-OS coverage — and because the input is a real tap on real glass, the digitizer, radios, camera, and secure enclave are all in play.
- 300+ real iOS and Android phones and tablets, current and legacy OS versions
- Up to 3 devices per robot for multi-device and cross-platform scenarios
- Physical, not emulated: push, Bluetooth, biometrics, camera, carrier networks
### Mobot in the Agentic Software Factory
How coding agents, Mobot AI and Mobot testing robots on real devices fit together in the Agentic Testing Protocol, from test request to verified fix.
The agentic architecture on its own page →
#### Agents and tools
- Jira / Linear
#### Agent gateway
- MCP Server (read-only)
- Test Intent Schema
- Agentic Testing Protocol
#### Mobot AI
- Test Planning and Coverage Selection
- Test Case Generation
- Mobot AI Model
#### Real devices, real robots
- On Demand Robot Reservations
- Automated Device Reset and Provisioning
- Device Configuration Profiles
- Mobot testing robots
#### Results to client agents
- Human QA validation
- Structured defect reports
- Jira / Linear ticket sync
- Agent verification re-test
Logs and exhaustive defect forensics
An architecture model, not a feature list. Available to agents today: read-only access through Mobot’s MCP server to test reports, test cases, observations, and device and network logs where captured.
### The Agentic Testing Protocol lifecycle
The Agentic Testing Protocol describes how an agent hands a test run to Mobot and gets results back, stage by stage.
#### Stage 1: Discover
In the protocol, the agent sees which real devices and OS versions are available.
#### Stage 2: Reserve
In the protocol, the agent books device time or joins the queue.
#### Stage 3: Provision
In the protocol, the build is handed off, and the device is wiped, configured and the app installed.
#### Stage 4: Direct
In the protocol, the agent states the objectives, scope and acceptance criteria.
#### Stage 5: Execute
In the protocol, a Mobot testing robot and an operator run the test while the agent follows progress.
#### Stage 6: Report
In the protocol, results and structured defect reports come back to the agent.
#### Stage 7: Verify
In the protocol, Mobot re-tests the specific defect on the new build.
New build? The loop starts again at Discover or Direct.
#### What agents can do today
Through Mobot’s MCP server, agents get read-only access to test reports, test cases, observations (defects and issues), and device and network logs where captured.
Device booking, provisioning, directing runs and re-tests are what the Agentic Testing Protocol is built toward.
### Layer by layer
1 · Client
Coding agents, your CI/CD pipeline and Jira / Linear are the clients. In the protocol, agents send test work to Mobot, read results back, and tickets sync with Jira / Linear.
2 · Agent interface
Agents connect to Mobot through the agent gateway. The MCP server gives agents read-only access to test reports, test cases, observations, and device and network logs where captured. In the protocol, a Test Intent Schema describes what to test, and the Agentic Testing Protocol hands it to Mobot.
3 · Test intelligence
4 · Robot fleet
Mobot testing robots run tests on real devices. In the protocol, agents reserve robot time on demand, with automated device reset and provisioning and device configuration profiles.
5 · Results to client agents
#### Results back to your agents
In the protocol, test reports, structured defect reports and logs (where captured), human QA validation status, Jira / Linear ticket sync and agent verification re-tests flow back to agents.
Human in the loop
### Robot tested. Human verified.
Automation finds candidates. QA analysts decide what is real. Every failure is reviewed before it reaches you, so a red result is never something your engineers have to chase down first.
#### Every failure triaged
A QA analyst reviews each failed step, reproduces it, and attaches notes before it is reported.
#### Noise stops at the analyst
A renamed button or a copy change is flagged once, decided with you, and never reported as a bug again.
#### Robots do the boring part
Robots run the regression identically every time — what reaches your backlog is a real, reproducible defect.
Onshore and offshore operations keep testing moving across time zones, so verified results come back without waiting on your team.
### See the platform on your app
Point us at a build. AI-assisted authoring proposes coverage, the fleet runs it on real devices, and you review verified results.

# Device fleet
URL: https://www.mobot.io/devices

## 300+ real devices. Zero emulators.
Every test runs on a physical iOS or Android device, driven by a robot, in Mobot's New York lab. Choose the devices and OS versions that match your users — and change them as your user base shifts.
Phones and tablets across every major manufacturer
Cross-OS coverage in the same run, on the same robot
Test the OS your users are actually on, not just the latest
Multi-device flows with a real sender and a real receiver
### The phones your users actually carry
Flagships and budget devices, the newest releases and the models that stubbornly stay in circulation. If it's in your analytics, it's probably in the fleet — and if it isn't, ask.
What we test
### Real hardware means real hardware paths
Because a robot physically operates each device, everything on it is in play — the camera, radios, secure enclave, digitizer, and carrier network.
### Need a specific device or OS?
Tell us what your users are on. We'll confirm coverage and show you a verified defect report on that exact configuration.

# Managed QA services
URL: https://www.mobot.io/mobot-managed

Managed Mobile QA
## Mobile App Testing Services
Managed mobile QA on real iOS and Android devices. Mobot's team and Mobot AI build your test cases, Mobot testing robots run them, and a QA analyst verifies every failure before it reaches you.
### What is managed mobile QA?
Managed mobile QA is a service where an outside team plans, runs and reports your app's tests, so your engineers don't write or maintain them. With Mobot, Mobot's team and Mobot AI build the test cases, Mobot testing robots run them on real iOS and Android devices, and a QA analyst verifies every defect before it reaches you.
1,000 free Mobot credits.
### What should you look for in a managed mobile QA service?
The best managed mobile QA services test on the devices your customers use, cover hardware flows like push, biometrics and Bluetooth, verify failures before you see them, and fit your release process. Ask each vendor where tests run, who writes them, who confirms a defect, and what evidence you get.
- Real devices or emulators? Ask whether tests run on physical phones or on simulators and emulators. Mobot runs every test on real iOS and Android devices, physically operated by Mobot testing robots. ( why real devices)
- Who verifies a defect? A Mobot QA analyst verifies every failure before it reaches you. ( defect validation)
- What evidence comes with a defect? Every Mobot report includes screenshots from the device, device and network logs, and reproduction steps. ( see a sample defect report)
- Does it fit your tools? Mobot sends verified defects to Slack, Jira or TestRail, and results are in the Mobot platform for every run. ( integrations)
Trusted by Leading Mobile Teams
What you get
### Mobile QA, done for you
Robot tested. Human verified. Your engineers get real, reproducible defects instead of a queue of flaky results to chase down.
### Test cases written for you
Point us at your app. Our team scopes the test cases that matter most and builds them, with no scripts for your team to maintain.
### Run on real iOS and Android devices
Mobot testing robots physically tap, swipe, and type on real iOS and Android devices, with real push notifications, real Bluetooth, and real biometrics. Not an emulator.
### Verified defect reports
Every failure is triaged by a Mobot QA analyst before it reaches you, with screenshots from the device, logs, and reproduction steps, ready to hand straight to an engineer.
How it works
### From build to verified defect
#### Submit a build
Share the build, a test plan, or a quick video of the flow. Pick the iOS and Android devices and versions that match your users.
#### Robots run the tests
Real robots execute real taps, swipes, and gestures on real devices. Every step is captured: screenshots, device and network logs.
#### Analysts verify every result
Verified defects land in Slack, Jira, or TestRail with everything an engineer needs to reproduce and fix.
iOS and Android app testing
### The tests emulators can't run
Mobot testing robots cover the hardware-dependent flows that scripted automation and simulators miss.
### Managed mobile QA FAQs
Compare Mobot vs. QA Wolf, or see pricing.
Q: How is managed QA different from outsourced manual testing?
A: Outsourced manual testing adds people who tap through test plans by hand. With Mobot, Mobot testing robots run your Mobot test cases on real devices, so a full regression can run in parallel across real devices in parallel across the fleet, and QA analysts spend their time verifying defects instead of repeating the same taps.
Q: Appium or a managed QA service: which should we use?
A: Appium suits teams with engineers to write and maintain scripts, and it is strong for fast, code-level checks in CI. A managed service suits teams that want tests built, run on real devices and verified for them. You can use both: Appium for stable in-app checks, Mobot for hardware-dependent and end-to-end tests.
Compare Mobot vs. Appium.
Q: Do you test Android as well as iOS?
A: Yes. Mobot testing robots run tests on real iOS and Android devices from a fleet of 300+ phones and tablets , including Apple, Samsung, Google and Motorola models. You choose the devices and OS versions for each test with your Mobot contact, and you can change them as your user base shifts.
Q: What do we get when a test fails?
A: A verified defect , not a red build. A QA analyst confirms the failure, and the report includes screenshots from the device, device and network logs, and reproduction steps, sent to Slack, Jira or TestRail.
See the steps from build to verified defect.
### Start testing your mobile app on real devices
Get a verified defect report from Mobot's robots and QA analysts, on your build, on real devices.

# Pricing
URL: https://www.mobot.io/pricing

## Start Where You Are
Two ways to work with Mobot — prove the value with a defect report, then make it your QA backbone. Enterprise pricing is scoped to your device coverage and test volume; no dollar figures on this page, by design.
### Credits
Buy testing actions, point us at your app, and see the defect report.
Low-friction to start, procurement-friendly, and built to convert skeptics — the first report tends to sell the second. An action is a robot tap, swipe, or drag on a physical device.
- Pay for testing actions as you use them
- Access to the full 300+ device fleet
- AI-assisted authoring, robots, and analyst verification included
- Reports in the Mobot platform, Slack, Jira, and TestRail
- No long-term commitment to get started
### Mobot Unlimited
Unlimited testing across unlimited applications for one flat annual rate.
- Unlimited test runs every month, unlimited applications
- Dedicated Technical Account Manager
- High-frequency regression on the latest devices and OS releases
- One predictable rate — forecast QA spend with no overages
The real comparison
### It isn't Plan A vs. Plan B
#### What does your scripted suite cost to keep running?
Enter your own numbers. Every input is yours; nothing is assumed.
Fill in every input to see your estimate.
### Questions teams ask before they start
More questions? Read the full FAQ →
Tell us about your app, device coverage, and release cadence. We'll scope the right plan and show you a verified defect report on your build.

# Compare Mobot
URL: https://www.mobot.io/compare

## How Mobot Stacks Up
Plenty of tools will run your mobile app. The question worth asking is what they run it on, and how much of the device is real when they do — because that is where the differences actually live. Here is an honest read on each approach, including the parts where they beat us.
Real-device alternatives to BrowserStack and Sauce Labs ↓
How to read this
### Four questions that separate mobile testing tools
Most comparison tables argue about features. These are the questions that determine which defects a tool can find at all.
#### Is it a real phone?
Emulators and simulators are models of a device. Some vendors run real hardware for one platform and emulate the other.
#### Is it your real build?
Some approaches re-sign or instrument your binary to control it. What ships is then not quite what was tested.
#### Are the inputs real?
A mocked camera feed proves your handler works. A real lens proves the capture does.
#### Who decides a failure is a bug?
A red build is not a defect until someone reproduces it. If that someone is your engineer, that is a cost.
Head to head
### Mobot vs. Appium
Appium is an open-source framework for writing mobile UI automation scripts in code, executed against emulators, simulators, or cloud devices through the WebDriver protocol.
### Mobot vs. Maestro
Maestro is a mobile UI testing framework where flows are written as YAML and executed on simulators, emulators, or connected devices, with a hosted cloud option for running flows at scale.
### Mobot vs. QA Wolf
QA Wolf is a managed QA service that builds and maintains your suite for you. Web tests run in Playwright; mobile tests are built in Appium and run on QA Wolf’s own rack-mounted iPhones and iPads for iOS, and on GPU-accelerated emulators for Android.
### Five ways to test a mobile app. One touches the phone.
Emulators are cheap and blind to hardware. Device farms rent you a real phone but drive it through software. Scripted frameworks need engineers to keep them alive. Offshore manual needs headcount and doesn't scale with every build. Mobot is a managed service that puts a robot on real glass.
- Real glass, real OS Is the device in the test the device in your user’s hand? — Emulator / Simulator Xcode, Android Studio: No — a model of a phone; Device Farm cloud phones, software-driven: Rented, shared, software-driven; Scripted Frameworks Appium · Maestro · XCUITest: Depends where it runs; Offshore Manual outsourced human testers: Yes; Mobot robotic · real devices · verified: Yes — reserved fleet, 300+ devices
- Mechanical execution Who touches the screen? — Emulator / Simulator Xcode, Android Studio: Injected events; Device Farm cloud phones, software-driven: Injected events; Scripted Frameworks Appium · Maestro · XCUITest: Injected events; Offshore Manual outsourced human testers: A human, by hand; Mobot robotic · real devices · verified: Robot fleet — real taps, swipes, gestures
- AI authoring + maintenance Who writes the tests and keeps them passing? — Emulator / Simulator Xcode, Android Studio: Your engineers; Device Farm cloud phones, software-driven: Your engineers; Scripted Frameworks Appium · Maestro · XCUITest: Scripts, maintained by you; Offshore Manual outsourced human testers: Manual test plans; Mobot robotic · real devices · verified: AI-generated, CV-driven, maintained by Mobot
- Peripherals, IoT & Bluetooth — Emulator / Simulator Xcode, Android Studio: No radio exists; Device Farm cloud phones, software-driven: Limited; Scripted Frameworks Appium · Maestro · XCUITest: Limited; Offshore Manual outsourced human testers: Yes, slow; Mobot robotic · real devices · verified: Yes — real pairing over real RF
- Biometrics & camera — Emulator / Simulator Xcode, Android Studio: Auto-approved / mocked; Device Farm cloud phones, software-driven: Weak; Scripted Frameworks Appium · Maestro · XCUITest: Weak; Offshore Manual outsourced human testers: Yes; Mobot robotic · real devices · verified: Yes — real enclave, real lens
- Deep links, push & 2FA — Emulator / Simulator Xcode, Android Studio: Partial; Device Farm cloud phones, software-driven: Partial; Scripted Frameworks Appium · Maestro · XCUITest: Fragile; Offshore Manual outsourced human testers: Yes, slow; Mobot robotic · real devices · verified: Yes — end-to-end, verified
- Defect validation Who decides a failure is a real bug? — Emulator / Simulator Xcode, Android Studio: Nobody — every failure is yours to triage; Device Farm cloud phones, software-driven: Nobody — you triage; Scripted Frameworks Appium · Maestro · XCUITest: Red build, no verdict; Offshore Manual outsourced human testers: Tester’s word, no forensics; Mobot robotic · real devices · verified: Forensics reviewed, reproduced, screenshot-documented, analyst-confirmed
- Artifacts & ticketing — Emulator / Simulator Xcode, Android Studio: Logs; Device Farm cloud phones, software-driven: Varies; Scripted Frameworks Appium · Maestro · XCUITest: Varies; Offshore Manual outsourced human testers: Tickets, no evidence; Mobot robotic · real devices · verified: Screenshots, logs, repro + Slack/Jira
- How it scales What you pay to run more — Emulator / Simulator Xcode, Android Studio: Cheap — and wrong; Device Farm cloud phones, software-driven: Cloud hours; Scripted Frameworks Appium · Maestro · XCUITest: Maintenance cost; Offshore Manual outsourced human testers: Headcount; Mobot robotic · real devices · verified: A service — flat with Unlimited
### What are the real-device alternatives to BrowserStack and Sauce Labs?
BrowserStack and Sauce Labs rent cloud access to real devices that your team drives with scripts, manual sessions or AI tools. Alternatives include other device clouds, such as AWS Device Farm and Kobiton, and managed services. Mobot is different: Mobot testing robots physically run your Mobot test cases on real iOS and Android devices, and analysts verify every defect.
#### When is a device cloud like BrowserStack or Sauce Labs the right choice?
A device cloud fits teams that already have engineers writing Appium, Espresso or XCUITest scripts and need broad device and OS coverage on demand, plus web and cross-browser testing from one vendor. Both vendors also offer AI test tools and MCP servers for agents. Your team still owns the test suite and triages its results.
#### When is Mobot a better fit than a device cloud?
Mobot fits teams that want tests built and run for them, that need physical input on the device, such as a robot tapping real glass, push delivered through APNs or FCM, pairing with a real Bluetooth peripheral or a real lens scanning a QR code, and that want verified defects rather than red builds.
#### Is Mobot a QA Wolf alternative for mobile apps?
Yes, for mobile. QA Wolf's Coverage as a Service builds and maintains tests for you, covering Android on emulators and iOS on real iPhones and iPads, according to its pricing page. Mobot runs both iOS and Android tests on real devices with Mobot testing robots, and analysts verify every defect. Compare Mobot vs. QA Wolf.
#### Device cloud vs managed real-device testing
- Model — BrowserStack: Cloud access to real iOS and Android devices and real desktop browsers; Sauce Labs: Cloud access to real iOS and Android devices, plus Android emulators and iOS simulators; Mobot: Managed service: Mobot testing robots on 300+ real iOS and Android devices
- Who runs the tests — BrowserStack: Your automated tests (50+ frameworks supported) or manual sessions; Sauce Labs: Your automated tests (Appium, Espresso, XCUITest and more) on the device cloud; Mobot: Mobot testing robots, supervised by Mobot's team
- Who writes and maintains tests — BrowserStack: Your team; AI tools for authoring tests and repairing broken tests offered (Test Companion); Sauce Labs: Your team; AI test generation from natural-language intent and AI tools that repair broken tests offered; Mobot: Mobot's team and Mobot AI; tests update as your app changes
- Who verifies failures — BrowserStack: Your team, with AI-assisted debugging tools; Sauce Labs: Your team, with AI-powered failure analysis; Mobot: A Mobot QA analyst verifies every defect
- Agent access — BrowserStack: MCP server that can launch apps on real devices and run tests; Sauce Labs: MCP server with real-device session and on-device tools; mobile device tools need private devices with the Real Device Access API add-on; Mobot: Read-only MCP access to test reports, test cases, observations, and device and network logs where captured, on every plan, including the free trial
- Fits — BrowserStack: Broad device and browser coverage for teams with automation engineers; Sauce Labs: Broad device and browser coverage for teams with automation engineers, with public or private dedicated device pools; Mobot: Hardware-dependent tests, and teams that want verified defects without writing scripts
- BrowserStack Real Device Cloud
- BrowserStack Test Companion
- BrowserStack MCP server overview
- Sauce Labs Real Device Cloud
- Sauce Labs home page
- Sauce MCP · getting started
- AWS Device Farm · Kobiton · QA Wolf pricing
See every scenario Mobot tests in Solutions.
1,000 free Mobot credits.
Feature by feature
### Mobot vs. Appium, Maestro, and QA Wolf
Credit where it's due: scripts run fast, device clouds are broad, and a managed service takes real work off your plate. Then look at the physical layer.
- QA Wolf managed QA · real iOS devices, emulated Android: The physical layer
- Physical actuation — real taps on real glass Software-injected touch events bypass the digitizer entirely.; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Real iOS & Android hardware, not emulators QA Wolf runs a real iPhone/iPad farm but emulates Android; real Android devices are listed as coming soon.; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Tests the exact binary you ship QA Wolf re-signs every IPA with a custom provisioning profile to gain system-level control.; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Push delivery through real APNs/FCM to the device; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Bluetooth pairing with real peripherals & wearables The phone’s own radio is one thing; pairing with a watch, card reader, or medical device is another.; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Biometrics on the real secure enclave Simulators auto-approve the prompt; nothing is verified.; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Camera, QR & barcode with a real lens Injecting mock video into the camera feed proves the handler works, not the capture path.; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Multi-device flows with two real phones; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Carrier handoffs, Wi-Fi ↔ LTE, dead zones; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- QA Wolf managed QA · real iOS devices, emulated Android: Authoring & maintenance
- No scripting required from your team; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Tests that update as your app changes, maintained by Mobot Most UI changes don’t break tests. When a flow genuinely changes, Mobot updates the test case for you.; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Zero script maintenance on your engineers A managed service absorbs the maintenance; with Mobot, Mobot maintains the test cases.; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Every failure verified by a human before you see it; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Forensic reports — screenshots, device & network logs, repro; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Fully managed operations; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- QA Wolf managed QA · real iOS devices, emulated Android: Where other approaches win
- Speed per individual test run; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Unit, API & component-level tests; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- OS & device-matrix breadth via cloud farms; Mobot robotic · real devices · expert-verified: ; Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
- Appium open-source scripted framework: ; Maestro YAML-based scripted framework: ; QA Wolf managed QA · real iOS devices, emulated Android: 
Comparisons describe each approach's category — scripted frameworks that drive an app through software, and software-based managed services that run on emulators, simulators, or cloud devices — as of publication. Capabilities of individual tools change; verify specifics with each vendor.
### Superior test authoring, aided by computer vision
The robot reads the screen like a person: a primary button, bottom of the checkout flow, with continue-style copy. Most UI changes don't break the test, and when a flow genuinely changes, Mobot updates the test case for you. The robot taps it on real glass and verifies what happens next.
### Your test automation creates costly test debt
Scripted suites are free to start and expensive to keep alive — and the bill scales with how fast you ship. At AI-assisted release velocity, maintenance is the whole cost.
#### What does your scripted suite cost to keep running?
Enter your own numbers. Every input is yours; nothing is assumed.
Fill in every input to see your estimate.
The wider toolbox
### Other mobile testing tools teams evaluate
#### Open-source UI frameworks
Appium, Espresso, XCTest and XCUITest, EarlGrey, Detox
Code-based frameworks your engineers script and maintain. Espresso and XCUITest are the native Android and iOS options, Appium drives both from one codebase, Detox targets React Native, and EarlGrey is Google’s iOS UI framework. They are free to download; the cost is authoring and maintaining the scripts.
#### Device clouds
BrowserStack, Sauce Labs, Kobiton and others
Remote access to real devices and emulators for manual sessions and for running your own scripts. They remove device procurement, but your team still writes, runs and maintains the tests and triages the failures.
#### Performance and load testing
Tools that put load on your backend and APIs to find capacity limits. They complement, not replace, testing how the app itself behaves on real devices and networks.
#### A/B testing and experimentation
Firebase A/B Testing, Optimizely and others
Experimentation platforms that measure which variant users prefer. They tell you which version performs better, not whether each variant works correctly on every device, so every variant still needs testing.
#### Regression suites for web and desktop
Selenium, Ranorex, TestComplete and others
Long-standing regression tools, mostly built for web and desktop apps. Mobile teams usually pair them with a mobile-specific approach.
These tools all drive the app through software, a simulator or a person. Mobot is different: Mobot’s team and Mobot AI build the test cases, Mobot testing robots run them on real iOS and Android devices, and a QA analyst verifies every defect before it reaches you.
Waldo · Sauce Labs · Testlio · Kobiton · BrowserStack · Rainforest QA · Detox · XCUITest Device clouds, no-code recorders, managed QA services, and crowdtesting land in different places on the four questions above — but they share a physical-layer gap: the app is driven through software, or by a person who can't repeat it across a fleet of devices. Ask us for a side-by-side on your stack →
Mobile teams that made the switch
### See the difference on your own app
Get a verified defect report from Mobot's robots and QA analysts on your build — and compare it to what your current stack found.

# FAQ
URL: https://www.mobot.io/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
Q: What is Mobot?
A: 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.
Q: How does Mobot work?
A: Mobot uses robots and computer vision to automate physical app testing on a fleet of 300+ real devices. AI-assisted authoring turns your critical flows into Mobot test cases, 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 screenshots from the device, logs, and reproduction steps.
Q: How is Mobot different from Appium, Maestro, or a managed QA service?
A: Scripted frameworks and software-based managed suites drive an app through software — injected touch events on an emulator, simulator, or cloud device. Mobot is one of the only solutions 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.
Q: Is testing done on real devices?
A: Yes — 100% real, physical Android and iOS devices. No emulators, no simulators, no virtualized devices.
Q: How does Mobot handle changes to our app?
A: 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.
Q: How does the robot know something is a bug?
A: 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.
Q: Why does a result get flagged, and what happens next?
A: 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.
Q: Do we pick the devices we test on?
A: 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.
### Testing support
Q: Does Mobot support external devices like Apple Watch?
A: Yes. Test plans can include a mobile app and a third-party device — Apple Watch, fitness trackers, headphones, POS hardware, and other Bluetooth peripherals.
Q: What integrations does Mobot support?
A: 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.
Q: Does Mobot test payments with real credit cards?
A: Yes. Mobot can exercise in-app purchases and payment flows with real cards on real devices.
Q: Does Mobot support localized testing or geolocation?
A: Yes. Test plans can run under different geolocations and locales.
Q: Does Mobot support biometrics like Face ID and Touch ID?
A: Yes. Biometric flows run against the real secure enclave with strategic human intervention where the OS requires a live person.
Q: Does Mobot support 2-factor authentication?
A: Yes — SMS codes, authenticator app codes, and QR-based flows can all be included in a test plan.
Q: Can we test two apps or two devices interacting with each other?
A: 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.
Q: Can you handle performance testing?
A: Mobot can handle some performance testing, including battery usage, but is not designed for load or stress testing.
Q: Does Mobot support accessibility settings?
A: Yes. Dark mode, light mode, orientation changes, text-size changes, and other device-level accessibility settings can be part of any test plan.
Q: What happens if a robot gets stuck?
A: A Mobot team member intervenes, diagnoses, and resolves the issue so testing resumes — you never see a partial or unverified result.
Q: How is test data captured?
A: As the robot executes each step, screenshots, 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
Q: What is an action?
A: An action is a single robot tap, swipe, or drag on a physical device. Credit plans include a predefined number of actions per month.
Q: How does Mobot compare in cost to Appium or Maestro?
A: 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.

# About
URL: https://www.mobot.io/about

## We're reinventing how software testing is done
Mobot is on a mission to revolutionize the way engineering teams test and ship mobile products. We combine the best of humans with automation using real, mechanical robots — because the last mile of mobile QA lives in hardware that no simulator can reach.
### New York, NY
Robots, devices, and analysts operate from our New York lab, with onshore and offshore operations across time zones.
### A proprietary fourth test driver
Beyond unit, integration, and UI automation: robots that physically operate real devices, supervised by humans.
### Built for enterprise mobile teams
Defined access controls around every build, secured artifacts end to end, and security documentation for procurement.
Why we exist
### Real Robots. Real Devices. Real People.
We built Mobot because push notifications, Bluetooth, biometrics, deep links, and IoT integrations are where user trust is won or lost — and they're the part of the stack that scripted automation and simulators structurally can't cover. Every defect we report is real, and we find the ones nobody else can.
Our core values
#### Quality & Craftsmanship
We build robots that tap the same pixel ten thousand times and analysts who notice the one time it mattered.
#### People-first
Robots do the boring part so people can do the judgment part. That applies to our team and to yours.
#### Inclusivity & Empowerment
Every voice at the bench, in the lab, and in the customer channel gets heard and gets to act.
#### Trust your teammate
Every result we ship is verified before it reaches you. Trust is the product.
#### Be passionate, be resilient
Physical testing is hard. That is exactly why nobody else does it.
Trusted by mobile teams
### Come build the robots
Robotics, computer vision, mobile, and QA operations — in a lab where the product physically taps the screen. We're hiring in New York and remotely.
Press and partnership inquiries: contact us.

# Solution: release regression testing
URL: https://www.mobot.io/solutions/release-regression-testing

Solutions · Release regression
## Submit a build. Get verified defects, not red builds.
From build to verified defect
#### Submit
Build submitted through your normal distribution channel.
#### Queue
Suite assigned across robots and devices — no scripts to repair first.
#### Run
Parallel execution on real devices, every step captured.
#### Triage
A QA analyst verifies every failure and adds notes.
#### Deliver
Verified defects in Slack, Jira, or TestRail with screenshots from the device and logs.
### Why it escapes simulators and scripts
Regression coverage that only runs on emulators misses the hardware-dependent defects that make it into the release anyway. Scripted suites need repairing after every UI change, and manual regression can’t keep up with an AI-assisted release cadence.
### What ships broken without it
- Coverage rationed to the “important” devices because the suite can’t run everywhere
### Test it yourself first
Step-by-step guides from the Mobot lab for the flows on this page, with the real-device gotchas called out.
#### How to Test Multiple Devices at Once on iOS
Learn how to effective strategies to test iOS apps on multiple devices to ensure quality and performance across all user scenarios.
#### How to Test App Backgrounding on iOS
Learn essential strategies for testing iOS app background behavior to ensure reliability and efficiency.
#### How to Use Charles Proxy for Network Logging and Network Throttling on iOS and Android
Learn how to capture and analyze network logs on iOS and Android with Charles Proxy to debug APIs, troubleshoot connectivity issues, and optimize app performance.
### Release Regression Testing: common questions
Q: What happens to flaky results?
A: They stop at the analyst. Every failure is reviewed and reproduced before it is reported; a result that isn’t a real defect is never forwarded to your team.
### See release regression testing tested on your app
Get a verified defect report from Mobot's robots and QA analysts — on your build, on real devices.

# Solution: biometrics and payments
URL: https://www.mobot.io/solutions/biometrics-payments

Solutions · Biometrics & payments
## Face ID, Touch ID, 2FA, and checkout — verified on the secure enclave, not auto-approved
The moment money moves is the moment users judge your app. Simulators auto-approve the biometric prompt and stub the payment sheet, so the flows with the highest stakes get the least real coverage. Mobot exercises them on real hardware, end to end.
The checkout path Mobot verifies
#### Add to cart
Real taps through the real product flow.
#### Authenticate
Face ID / Touch ID on the secure enclave — simulators auto-approve and verify nothing.
#### Payment sheet
Real card, real sheet, real network round trip.
#### 2FA
SMS or authenticator code received and entered on the device.
#### Confirmed
Order state, receipt, and account verified by an analyst.
### Why it escapes simulators and scripts
A simulator’s biometric prompt is fiction: it auto-approves without a secure enclave. Payment sheets, 2FA codes, and third-party auth handoffs are stubbed or skipped, and a scripted framework has no way to present a real face or a real card.
### How Mobot catches it
Robots drive real checkout, login, and authentication flows on real devices — Face ID and Touch ID on the secure enclave, real cards through real payment sheets, SMS and authenticator 2FA, Google and Facebook sign-in through the real OS handoff — with strategic human intervention where the OS requires a live person.
### What ships broken without it
- Face ID login that crashes intermittently on a specific device and OS
- Card details that fail to save during checkout, blocking repeat purchases
- 2FA codes that arrive but never auto-fill, stranding users at the gate
- Third-party sign-in that loops back to the login screen after the handoff
### Who this matters most for
Fintech, neobanks, commerce, and any regulated app where a failed login or payment is a support ticket, a chargeback, or a compliance finding.
### Test it yourself first
Step-by-step guides from the Mobot lab for the flows on this page, with the real-device gotchas called out.
#### How to Test Biometrics on iOS
Learn essential strategies for testing iOS biometric functionalities effectively to enhance app security and user experience.
#### How to Use Charles Proxy for Network Logging and Network Throttling on iOS and Android
Learn how to capture and analyze network logs on iOS and Android with Charles Proxy to debug APIs, troubleshoot connectivity issues, and optimize app performance.
### Biometrics & Payments: common questions
Q: Do you use real payment cards?
A: Yes. Test plans can exercise in-app purchases and checkout with real cards on real devices, against your sandbox or production endpoints as you prefer.
Q: How is Face ID tested if it needs a real face?
A: Biometric flows run on the real secure enclave with strategic human intervention where the OS requires a live person — the prompt, the enclave, and the app’s response are all real.
Q: Can you test regulated flows like KYC?
A: Yes. Document capture, selfie checks, and identity verification flows run on real cameras and real devices, with evidence captured for compliance review.
### See biometrics & payments tested on your app
Get a verified defect report from Mobot's robots and QA analysts — on your build, on real devices.

# Solution: push notifications and deep linking
URL: https://www.mobot.io/solutions/push-notifications-deep-linking

Solutions · Push & deep links
## Prove the push arrived and the link landed — on a real phone
A push that never arrives, or a deep link that opens the wrong screen, quietly breaks the moment that was supposed to bring a user back into your app. Mobot verifies the entire path — server, APNs/FCM, device, tap, destination — on real hardware.
The five-hop path Mobot verifies
#### Your server
Push payload queued for delivery.
#### APNs / FCM
Simulators stub delivery here — there is no real device token to deliver to.
#### Physical device
Notification lands in the OS tray on real hardware.
#### Physical tap
A robot taps the real notification banner.
#### Verified deep link
The robot confirms the exact in-app destination.
### Why it escapes simulators and scripts
Push delivery depends on a real device registered with a real carrier network and an OS-level notification service. Simulators can receive sandbox pushes, but not on a real phone with a real carrier network and production delivery, so arrival on your users’ devices is never proven. Deep links are resolved by the real OS handoff, which a scripted framework can only approximate.
### How Mobot catches it
Robots trigger real notifications on real devices and verify the full path the way a user actually experiences it — delivery to the tray, the physical tap, and the exact in-app destination, including cold-start and backgrounded states. Every channel, every campaign, verified before the budget goes live.
### What ships broken without it
- Silent delivery failures on specific OS versions or after a cold start
- Links that 404, open a webview login, or land on the home screen instead of the promotion
- Re-engagement flows that work in the simulator and fail in the field
### Who this matters most for
Growth and marketing teams running paid campaigns, product teams shipping re-engagement flows, and engineering teams tired of “works on my simulator.”
### Test it yourself first
Step-by-step guides from the Mobot lab for the flows on this page, with the real-device gotchas called out.
#### How to Test Deep Links on Android: ADB Commands, App Links and Real Devices
Open and test an Android deep link with one adb command, verify App Links, automate with Espresso, and test real-device flows from email, SMS and push.
#### How to Test SMS Messages on iOS
Here’s how to test SMS messages on iOS, including setup, creating test scenarios, automation, performance, load testing, and ensuring reliable app performance.
#### How to Test Multi-Device Messaging on iOS
Learn how to test multi-device messaging on iOS effectively with this comprehensive guide on setup, scenarios, automated and manual testing techniques.
### Push Notifications & Deep Linking: common questions
Q: Can Mobot test deep links from every channel?
A: Yes — search, social, email, SMS, QR, and in-app. Links are opened the way a user opens them, from the real source app or message, on a real device.
Q: Do you test push on both iOS and Android?
A: Yes. Real APNs delivery on iOS and real FCM delivery on Android, across the OS versions your users are on.
Q: Can this run continuously, not just before a release?
A: Yes. Teams monitor high-value links and notification paths on a schedule so a broken campaign is caught early, not after the spend.
### See push notifications & deep linking tested on your app
Get a verified defect report from Mobot's robots and QA analysts — on your build, on real devices.

# Solution: camera, sensors and location
URL: https://www.mobot.io/solutions/camera-sensors-location

Solutions · Camera, sensors & location
## A real lens looking at a real code — and a real network dropping out
Check deposit, barcode and QR scanning, document capture, AR, geolocation, and carrier handoffs all depend on hardware a simulator replaces with a mock. Mobot puts real inputs in front of real sensors and verifies what the app does with them.
### The capture path Mobot verifies
#### Present
A real code, document, or scene in front of the lens.
#### Capture
Real focus, exposure, and decode — simulators inject mock frames instead.
#### Upload
Real network, including a Wi-Fi → LTE handoff mid-transfer.
#### Locate
Real geolocation and locale on the device.
#### Verify
Result, error handling, and retry behavior confirmed by an analyst.
### Why it escapes simulators and scripts
Simulators inject mock frames into the camera — no lens, no focus, no exposure, no bug found. GPS is a fixed coordinate. The network is perfect host networking that never drops. A scripted framework can’t hold a barcode up to the phone.
### How Mobot catches it
Robots present real barcodes, documents, and scenes to the real camera; move between Wi-Fi and LTE; and run flows under real locations and locales. Analysts verify capture, decode, upload, and the app’s behavior when conditions change mid-flow.
### What ships broken without it
- Barcode and check scans that fail on specific camera modules or lighting
- Uploads that stall when the device moves from Wi-Fi to LTE
- Location-gated features that behave differently in the field than on the mock coordinate
- Photo pickers and media pipelines that work on the simulator and hang on the device
### Who this matters most for
Banking (check deposit, KYC), retail and logistics (scanning), travel and mobility (location), and any app with an AR or media capture flow.
### Test it yourself first
Step-by-step guides from the Mobot lab for the flows on this page, with the real-device gotchas called out.
#### How to Test Location Services on iOS
Learn to test iOS location services with our guide on strategies, tools, and optimizing app performance for superior user experiences.
#### How to Test QR Codes on iOS
Effectively test QR codes on iOS with detailed steps for manual and automated testing to enhance app functionality and user experience.
#### How to Test App Backgrounding on iOS
Learn essential strategies for testing iOS app background behavior to ensure reliability and efficiency.
### Camera, Sensors & Location: common questions
Q: Can you test check deposit?
A: Yes. Real checks are presented to the real camera, and the capture, quality checks, and submission are verified end to end.
Q: How do you test network transitions?
A: Devices move between Wi-Fi and LTE, and into low-signal conditions, while a flow is in progress. Analysts verify what the app does when the connection changes.
Q: Can you test different geolocations?
A: Yes. Test plans can run under different locations and locales to verify location-gated features and localized content.
### See camera, sensors & location tested on your app
Get a verified defect report from Mobot's robots and QA analysts — on your build, on real devices.

# Solution: Bluetooth and connected devices
URL: https://www.mobot.io/solutions/bluetooth-connected-devices

Solutions · Bluetooth & IoT
## One of the only ways to test your app against the physical world
Wearables, POS hardware, car pairing, medical devices, smart home — if your app talks to something physical, there is no emulator that can stand in for the real pairing. Mobot pairs real phones with real peripherals over real RF.
What Mobot exercises on the bench
#### Discover
Real radio scan finds the real peripheral.
#### Pair
OS pairing prompt handled on the device — simulators have no radio to pair with.
#### Exchange
Live data over real RF, with real interference.
#### Interrupt
Background the app, walk out of range, kill the connection.
#### Verify
Reconnect, resync, and error handling confirmed by an analyst.
### Why it escapes simulators and scripts
There's no software model for a Bluetooth radio finding, pairing with, and holding a connection to a physical peripheral. This category has no emulator at all, and a scripted framework running on a cloud device can't put a watch on the bench next to the phone.
### How Mobot catches it
Robots pair real devices with real peripherals under real conditions — an Apple Watch, a heart-rate strap, a card reader, a vehicle head unit — and QA analysts verify the connection, the data exchange, and the failure handling when the link drops.
### What ships broken without it
- Pairing that hangs on a specific OS version or after a firmware update
- Sync that silently stops after the app is backgrounded
- Reconnect logic that never fires when the peripheral comes back in range
- Data that arrives out of order or not at all under real interference
### Who this matters most for
Health and fitness, fintech and payments hardware, automotive, smart home, and any team whose app is only half the product — this is Mobot’s most uncontested ground.
### Test it yourself first
Step-by-step guides from the Mobot lab for the flows on this page, with the real-device gotchas called out.
#### How to Test Medical Devices on iOS
Learn essential strategies for testing iOS medical device apps to ensure compliance, performance, and user satisfaction.
#### How to Test Multiple Devices at Once on iOS
Learn how to effective strategies to test iOS apps on multiple devices to ensure quality and performance across all user scenarios.
### Bluetooth & Connected Devices (IoT): common questions
Q: Which peripherals can you test with?
A: Any Bluetooth or connected device you can ship to the lab — wearables, headphones, card readers, sensors, vehicle head units, and custom hardware. We keep a bench of common devices and add yours.
Q: Can you test the companion app and the device firmware together?
A: Yes. The robot operates the phone while the peripheral runs your firmware; analysts verify both sides of the exchange.
Q: What about Apple Watch apps?
A: Test plans can include a mobile app and the paired watch, including sync, notifications mirrored to the wrist, and watch-initiated actions.
### See bluetooth & connected devices (iot) tested on your app
Get a verified defect report from Mobot's robots and QA analysts — on your build, on real devices.

# Links
- Free trial: https://www.mobot.io/free-trial
- Index: https://www.mobot.io/llms.txt