Revyl is a mobile testing platform designed as the mobile source of truth for high-velocity mobile teams. It enables engineers, designers, product managers, and AI agents to run real mobile flows, capture what happened, and share evidence across the organization. The platform addresses the critical gap between rapid development and delayed verification, providing runtime proof for every change. By turning each session into replayable evidence, Revyl ensures that everyone from development to product has a common understanding of app behavior, reducing miscommunication and accelerating release cycles. Its core value lies in creating a living, shareable record of mobile app runtime, making it indispensable for teams shipping frequently.
The primary pain point Revyl solves is the release gap: mobile teams ship with agents—automation and AI—but verification lags behind. As agents move fast, teams need runtime proof that changes work as intended. Without it, bugs slip through, requiring manual passes, reruns, and bug triage that compound every sprint. Flaky checks force engineers to debug the test instead of the app. Late bugs pull product and design into hotfixes and rollbacks. Scattered evidence slows every team trying to prove what changed. Revyl eliminates this drag by providing immediate, shared runtime context, directly answering the expensive question 'What broke?' and reclaiming team hours and release days.
The first major feature group is the Live Device CLI. This feature allows teams to spin up sessions from the CLI or MCP (Model Context Protocol), install builds, hot reload, tap, type, swipe, screenshot, and verify changes while development is still moving. It provides a real-time 60 fps WebRTC stream with sub-50ms latency, giving engineers immediate feedback on live cloud devices. The ability to provision a device in seconds and interact with it programmatically means developers can test changes as they code, without waiting for CI or manual QA. This tight feedback loop reduces context switching and speeds up the development cycle, making it ideal for rapid iteration and debugging.
The second major feature group is Agentic Mobile Testing. Teams can define end-to-end mobile workflows in natural language, which Revyl's AI agents then execute on real iOS and Android builds. These agents perform actions like tapping, typing, swiping, and asserting results, producing replayable evidence for each step. The system supports complex, multi-step workflows such as booking a ride or verifying a checkout flow, and runs tests across multiple devices in parallel. This natural language interface lowers the barrier for creating and maintaining tests, allowing non-engineers to define workflows while generating thorough regression coverage that catches regressions with actionable evidence.
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The third feature group is Replayable Evidence. Every test and session produces a rich set of artifacts: screenshots, video recordings, detailed logs, action traces, AI reasoning transcripts, and shareable reports. These are stored and organized so that any team member can inspect exactly what the agent saw and did during a run. The evidence is not just raw data; it includes structured step-by-step logs with timestamps, assertions, and screenshots at each decision point. This allows teams to debug failures precisely, understand why a test passed or failed, and have a common reference for discussions. The shareable reports make it easy to communicate results across engineering, product, and design without reproducing the issue.
The fourth feature is the Atlas Runtime Map. Atlas turns observed tests and sessions into a living source of truth: a dynamic map of screens, flows, UI states, navigation paths, and runtime behavior for every app. It automatically structures the app’s interface and interactions, providing a visual representation that evolves with each run. This map helps teams understand the app's structure, identify untested areas, and track how changes affect the user journey. By documenting the app’s runtime behavior as it changes, Atlas serves as a constantly updated reference for onboarding, debugging, and regression analysis, bridging the gap between code and actual user experience.
The fifth feature group is Scale and Coverage. Revyl supports running tests across builds, teams, and technology stacks, including React Native, Expo, Flutter, and native Swift/Kotlin apps. Teams can drop in a build artifact (.APP/.APK) and run in CI using GitHub Actions, the CLI, or the SDK. Parallel execution across eight cloud devices speeds up test suites, and the platform integrates with existing pipelines to scale coverage across iOS and Android. This eliminates the need for teams to manage their own device farms or maintain complex test infrastructure, allowing them to focus on shipping quality apps. The unified monitoring dashboard aggregates results, showing pass/fail rates, duration, and device status across all runs.
Revyl is built for mobile engineers who need to verify changes on real builds, design and product teams who want to see the app users actually experience, and AI agents that use devices and Atlas to navigate. It supports both iOS (cloud simulator) and Android (cloud emulator) platforms, along with cross-platform frameworks. The platform offers a free start and a demo option, with pricing available on request—no upfront cost for initial exploration. By providing live devices, agentic testing, replayable evidence, and a mapping tool, Revyl establishes a unified runtime context that enables teams to ship with confidence, reducing the cost of missing runtime information and reclaiming hours otherwise lost to debugging and manual proof.
Revyl is designed for mobile engineers, design teams, product managers, QA engineers, and AI agent developers at high-velocity mobile teams. Companies like Angel Studios, Candle, Readwise, Pikkit, Chatbooks, Parrot, and Whop use it to bridge the gap between rapid development and thorough verification. It suits anyone needing runtime proof of mobile app behavior, from individual developers verifying changes to cross-functional teams collaborating on releases.