Overview
- Ship mobile releases without selector maintenance breaking your test suite, using AI agents that work from intent instead of UI selectors
- Catch bugs before they reach users with end-to-end testing that runs across every significant app flow like a real user
- Eliminate test rewrites when your UI changes, thanks to adaptive testing that learns new screens, flows, and interface details automatically
- Cut debugging time with video replay, system logs, interaction timelines, and network activity monitoring delivered for every failed run
- Get a suggested fix ready to merge alongside root cause analysis, so developers move straight from bug detection to resolution
- Block broken code at the pull request level with GitHub status checks that run mobile app testing inside your CI/CD pipeline
- Create and edit tests directly from your coding agent through the MCP server, turning feature descriptions into reliable tests without writing selector scripts
- Test paywalls and subscription flows reliably using Apple sandbox accounts that reset before every test run
- Verify behavior across locations by overriding device GPS with a latitude/longitude pair or a plain-language description
- Reset server-side state between runs by referencing your own API endpoints, such as a reset-user endpoint, in the test spec
- Track every issue through its lifecycle inside Semaloop, marking each as open, resolved, or archived
- Run tests on a fleet of real devices via TestFlight and on simulators across current iOS versions, device locales, and languages
- Support non-deterministic AI-native apps and small technical teams that need release confidence without a dedicated QA function
- Scale testing costs with usage-based pricing on testing volume instead of flat per-seat licenses
- Meet enterprise security requirements with SOC 2 Type 2 certification
Pros & Cons
Pros
- Mobile testing focused
- Identifies bugs pre-release
- Simulates real user testing
- Comprehensive end-to-end testing
- Text, visuals, audio understanding
- Adapts to app changes
- No constant rewrite requirement
- Increases release confidence
- Visibility into every run
- Context for quick debugging
- Root cause analysis tools
- Suggests issue fixes
- Provides interaction timelines
- System log availability
- Network activity monitoring
- Automated testing capability
- Continuous testing support
- Supports software debugging practices
- Multimodal understanding of app
- Tests stay useful despite changes
- Reproduces, debugs, fixes issues faster
- High FPS test recording
- Audio capture capability
- Evidence for easier bug fixing
- Stable releases validation
- Predictable release process
- Increases testing velocity
Cons
- Only for mobile testing
- No desktop application support
- Lacks multi-platform testing
- May miss niche bugs
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❓ Frequently Asked Questions
Semaloop is an innovative artificial intelligence tool specifically designed for mobile testing. Its primary function is to identify bugs in mobile applications before they become a problem for the users.
Semaloop identifies bugs in mobile applications by employing agents that test apps in a manner similar to how a real user would, across all significant flows. Its AI capabilities allow it to understand what's playing on screen, what's written in the text, and how the app responds in real-world scenarios, hence assisting in the identification of bugs.
When Semaloop talks about using 'agents' for testing, it is referring to its AI-powered system that mimics the behaviour of a real user. These agents carry out comprehensive tests across all the significant flows in the mobile app, allowing for thorough evaluation and bug identification.
Semaloop works across text, visuals, and audio by using multimodal understanding. This means the AI tool understands what's on screen, what's playing, and how the app responds in various scenarios. It ensures the app performs optimally across all these different elements.
Semaloop adapts to changes in app screens, flows, and user interface details by employing AI and machine learning. As the mobile app evolves and changes occur, Semaloop's adaptive testing capability allows it to learn these changes and maintain its test relevance without the need for constant rewrites.
Semaloop aids with issue debugging and fixing by offering complete visibility into every run. This gives developers the context they need to reproduce, debug, and fix issues faster. Additionally, it accommodates features like video replay, audio capture, interaction timelines, and system logs, all of which aid in subsequent debugging steps.
Semaloop provides tools for root cause analysis by offering features such as system logs and network activity monitoring. These tools help identify and analyze the most significant causes of faults, problems or defects. It also suggests fixes to help properly address any discovered issues.
System logs in Semaloop serve as comprehensive records of all relevant events in the system. They help in examining application behavior, tracking anomalies, and aiding in the bug detection and repair process.
Semaloop provides network activity monitoring features that track all network-related actions of the app. This way, Semaloop can detect any anomalies, potential errors, or bugs that might occur due to network activity during the app's functioning.
Interaction timelines in Semaloop provide a chronological sequence of user actions during the testing process. By illustrating how the user interacts with the system over time, it helps in identifying the specific steps leading to a bug, making it easier to reproduce and fix the issue.
The benefits of Semaloop's AI-based mobile app testing include earlier bug detection, adaptive testing, comprehensive debugging, and root cause analysis. It helps avoid unnecessary maintenance of irrelevant tests, keeps your tests relevant with evolving app features, and provides a holistic debugging view, thereby revolutionizing mobile app testing.
Semaloop incorporates traditional software debugging practices by offering comprehensive visibility into every app run, suggesting fixes, and providing necessary context for fast debugging. It combines these practices with AI capabilities to revolutionize mobile app testing.
Semaloop assists with automated and continuous testing by thoroughly testing apps like a real user across every significant flow and rapidly adapting to changes. Its AI agents systematically conduct tests without manual intervention, providing continuous evaluation of the app's behavior.
Semaloop handles end-to-end testing by employing AI agents to comprehensively test the app just as a real user would, across every significant flow. From start to finish, it checks all interconnected subsystems within an app, thus ensuring that every link in the application chain works as expected.
Yes, Semaloop can simulate real user interaction. Its artificial intelligence-based agents can test apps in a manner similar to how a real user would interact with it. This real user simulation helps catch hidden bugs that might be missed by standard testing procedures.
Adaptive testing in the context of Semaloop refers to its ability to easily adapt to app changes such as screens, flows, and UI details. This helps Semaloop to keep the tests relevant without requiring constant rewrites every time the mobile app updates or evolves.
Yes, Semaloop can provide a holistic view to debug faster. The AI tool captures various elements like videos, system logs, interaction timelines, and network activity. These pieces of information are crucial in understanding the big picture, making it possible to effectively locate, analyze, and fix any issues quickly.
Yes, Semaloop can increase confidence in app releases. It tests the app like a real user would across every flow, catches bugs before users encounter them, and provides a holistic view for quicker debugging. These features ensure that each release is free of critical issues, significantly boosting confidence in every release.
Semaloop is described as an innovative AI tool for mobile testing due to its advanced features and usage of AI. It employs AI agents for real user-like testing, understands text, visuals, and audio, adapts to changes in app features, provides complete visibility into every run for faster debugging, and performs root cause analysis. It combines these AI features with traditional software debugging practices to revolutionize mobile app testing.
Charlie Kingston
🛠️ 1 tool
wrote:Traditional frameworks rely on UI selectors that break whenever the interface changes, so teams spend more time fixing tests than shipping. Semaloop's agents work from intent rather than selectors, so tests keep working as the app evolves.
Charlie Kingston
🛠️ 1 tool
wrote:Beyond flagging, Semaloop surfaces a suggested fix that's ready to merge, alongside the video, logs, and root cause context needed to verify it.
Charlie Kingston
🛠️ 1 tool
wrote:Yes, Semaloop can run checks at the pull request level, so issues get caught before code merges rather than after release.
Charlie Kingston
🛠️ 1 tool
wrote:Yes, Semaloop supports GPS testing, so you can verify how your app behaves across different simulated locations.
Charlie Kingston
🛠️ 1 tool
wrote:Semaloop works best for teams building AI-native apps with non-deterministic behaviour, and for small technical teams without a dedicated QA function who need release confidence without slowing down.
Charlie Kingston
🛠️ 1 tool
wrote:Semaloop uses a platform fee plus usage-based pricing on testing volume, rather than a flat per-seat licence.
Charlie Kingston
🛠️ 1 tool
wrote:No. You describe the flow or outcome you want tested in plain language, and Semaloop's agents carry it out. There's no selector scripting to write or maintain as the app changes.
Charlie Kingston
🛠️ 1 tool
wrote:Yes, Semaloop runs its own fleet of real devices, which gives us greater control over the context we can hand back to you and your coding agents. Simulators are also supported for testing earlier in development and for flows like Face ID that aren't possible on physical hardware.
Charlie Kingston
🛠️ 1 tool
wrote:Yes. Semaloop holds SOC 2 Type 2 certification, following an independent audit of our operational processes and software management practices against a set of recognised security standards.
Charlie Kingston
🛠️ 1 tool
wrote:Yes. Semaloop agents can use Apple sandbox accounts, which reset before every test run, so you can test paywalls and subscription flows reliably without writing custom API calls or handling Apple's APIs directly.
Charlie Kingston
🛠️ 1 tool
wrote:Yes. Semaloop can post test results directly onto your pull requests as a GitHub status check, so you can see whether a build passed or failed without leaving GitHub.
Charlie Kingston
🛠️ 1 tool
wrote:Yes, through the Semaloop MCP server. Describe a feature or user journey to your coding agent and it turns that into a well-formed test, built on Semaloop's own guidance for what makes a test pass reliably. When a test fails, the same connection lets your agent pull the run, video, logs, and network data to work out whether the app broke or the test itself was brittle.
Charlie Kingston
🛠️ 1 tool
wrote:Yes. You can override a device's GPS location for a test run, either with a latitude/longitude pair or a plain description like "set device location to the Eiffel Tower."
Charlie Kingston
🛠️ 1 tool
wrote:Yes, through Bring Your Own Tools. You give Semaloop an API endpoint, such as a reset-user endpoint, and reference it in your test spec. Semaloop calls it at the right point in the run.
Charlie Kingston
🛠️ 1 tool
wrote:Yes. Issues surface the problems agents observe during testing, and you can manage their lifecycle directly in Semaloop, marking each as open, resolved, or archived.
Charlie Kingston
🛠️ 1 tool
wrote:Semaloop supports testing on both physical devices via TestFlight and simulators, across current iOS versions, and across different device locales and languages.
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