A next-generation, Kubernetes-native execution cloud that redefines automated testing. Run thousands of tests in parallel without maintaining physical device farms or fixing brittle locator scripts after every UI release.
AI-driven interaction, disposable environments, and elastic cloud scale wired directly into your delivery pipeline.
We replace traditional, script-heavy automation frameworks with intelligent agents that interact with your application visually and contextually.
Uses AI agents to see and interact with your app exactly like a human user would, eliminating brittle Appium locators, XPaths, and CSS selectors.
The AI automatically adapts to UI updates, dynamic components, and layout shifts without requiring manual script maintenance.
Complex multi-step user journeys and assertions are understood and executed dynamically without rigid, hard-coded test scripts.
Test flakiness is frequently caused by residual data, cache buildup, or state leakage from previous runs. We solve this by treating every environment as disposable.
Every test run spins up a fresh Android or iOS device or emulator in seconds.
The application is installed fresh for every scenario, guaranteeing test isolation and zero cross-test contamination.
When execution finishes, the device and environment are destroyed to maximize security and eliminate state drift.
Traditional device farms make you pay for idle hardware. Our platform uses cloud-native orchestration so you only pay when tests are running.
Built on Kubernetes for high availability, fault tolerance, and rapid elasticity.
Uses event-driven autoscalers such as KEDA to spawn hundreds or thousands of concurrent devices instantly from pipeline triggers.
When queues are empty, infrastructure scales to zero, eliminating idle costs and improving cloud spend efficiency.
Testing should be an invisible, automated quality gate in your deployment pipeline, not a disconnected silo.
Driven by webhooks and Pub/Sub queues to integrate with GitHub Actions, GitLab CI, Jenkins, and Azure DevOps.
Run massive suites concurrently on every pull request or merge and reduce build times from hours to minutes.
Results, logs, AI-driven root cause analyses, video recordings, and screenshots sync to a single dashboard for fast triage.
Four interconnected layers that make cloud-scale execution possible.
A centralized management hub that handles API requests, webhook processing, test queueing, and dispatching to execution nodes.
Auto-scaling Kubernetes clusters provisioned with containerized mobile and web execution environments plus AI navigation agents.
Integrated logging and monitoring capture performance metrics, visual evidence, and network traces for every ephemeral session.
Dedicated setup and continuous support to map your CI/CD workflows into the execution cloud event and queue architecture.
Reliability approaching 100%, costs approaching zero.
Smart AI navigation plus clean-slate ephemeral environments drives reliability toward 100%.
Scale-to-zero operation ends spending on idle hardware and underutilized cloud capacity.
Infinite parallelism delivers fast pull-request feedback without waiting for shared test devices.
Removing brittle locators and rigid scripts sharply reduces post-release test maintenance work.
Let our engineers integrate the execution cloud into your CI/CD pipeline and have you running parallel tests within days.