Skip to main content
R

Revyl

Revyl provides an AI‑powered platform for automated end‑to‑end testing of iOS and Android applications. Developers write test scenarios in natural language, and the vision‑based AI interacts with apps on cloud devices that boot in under 1.5 seconds and scale to thousands of concurrent instances for parallel execution. The service delivers unified video‑replay reports, performance metrics, and integrates via a CLI with any CI/CD pipeline.

San Francisco, United StatesFounded 202491K+ followers
Updated 3 months ago

Funding

$1.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

PV
Funding rounds are not available yet.

Founders

Product

Problem

Mobile development teams release iOS and Android builds multiple times per day, but traditional testing pipelines rely on fragile selector‑based scripts, slow local emulators, and manual QA cycles. This creates bottlenecks, high engineering overhead, and a risk of regressions slipping into production.

Solution

Revyl delivers an AI‑powered mobile reliability platform that automates end‑to‑end testing for iOS and Android apps. Developers write test scenarios in natural language; the platform’s vision‑based AI interprets the UI and interacts with the app without needing selectors. Live cloud devices and simulators boot in under 1.5 seconds and can be provisioned at scale, enabling hundreds of parallel test executions. A CLI‑first workflow integrates with any CI/CD system, while real‑time WebRTC streams let engineers watch tests live. After each run, unified reports provide video replay, AI‑generated step summaries, performance metrics, and detailed diagnostics, allowing teams to detect failures instantly and ship with confidence.

Target Audience

The primary customers are mobile development and QA teams—engineers, test leads, and DevOps professionals—who need fast, reliable regression testing for iOS and Android applications at scale.

Features

  • Vision‑based AI engine that grounds natural‑language instructions to UI elements, eliminating brittle selector maintenance.
  • Cloud infrastructure with iOS simulators and Android emulators that start in <1.5 s and support 1,000+ concurrent devices.
  • Parallel execution engine that distributes test suites across multiple devices, reducing regression cycles from hours to minutes.
  • CLI tool (revyl) for one‑command test launches, device management, and artifact uploads; integrates with GitHub Actions, CircleCI, and other pipelines.
  • Unified reporting suite: frame‑accurate video replay, AI‑generated step explanations, device metadata, CPU/memory/battery profiling, and shareable links.
  • Support for all major mobile stacks (React Native, Flutter, native Swift/Objective‑C, Kotlin/Java) via simple .app or .apk uploads.
  • Enterprise‑grade security: SOC 2 Type II compliance, SAML/OIDC SSO, RBAC, audit logs, and encrypted data storage.
This profile is AI-generated and may contain inaccuracies.