Core Architecture

Autonomous testing infrastructure.

Production-grade distributed systems designed to eliminate test flakiness through multimodal vision and scalable worker clusters.

WEB-ENG // 01
Playwright Vision Engine
Multimodal LLM-driven browser automation that identifies interactive DOM elements via screenshot analysis and self-healing locators.
Vision-based element detection
Self-healing XPath fallback
Real-time DOM state reasoning
Production Ready
View Blueprint
MOB-RUN // 02
Mobile Test Workers
Containerized Appium clusters for Android and iOS execution, managing device sessions and native interaction streams at scale.
Dockerized device farm nodes
Native gesture event injection
Cross-platform session isolation
Production Ready
View Blueprint
ASY-QUE // 03
Celery Task Orchestrator
Distributed asynchronous task queue powered by Redis to handle concurrent test executions without blocking API throughput.
High-concurrency task routing
Redis-backed state persistence
Dynamic worker scaling logic
Production Ready
View Blueprint
TEL-LOG // 04
Telemetry & Reporting
PostgreSQL-backed telemetry logging for test steps, assertion failures, and screenshot artifacts with full audit trails.
Structured test step logging
Artifact storage integration
Assertion failure diagnostics
Production Ready
View Blueprint

Unified Telemetry Pipeline

Centralized observability for all test runners, providing real-time insights into agent reasoning and worker health.

Autonomous Testing Lifecycle

Self-Healing Selector Lifecycle

Our platform automates the entire testing lifecycle, from vision-based element detection to heuristic self-healing and detailed telemetry reporting.

SYS STATUS: OPERATIONALStart Testing
PHASE 01Multimodal AI
Vision-Based Detection
Our vision engine scans the DOM to identify interactive elements, mapping coordinates for precise interaction regardless of layout shifts.
Execution Metrics
SCAN ACCURACY99.8%
ELEMENT NODES124 NODES
VISION LATENCY12 MS
MODEL CONFIDENCE0.99
Core Capabilities
  • Real-time DOM element coordinate mapping
  • Multimodal vision model element recognition
  • Dynamic viewport scaling and resolution handling
  • Automated accessibility tree parsing
Need custom integration?
Explore our API documentation.
Learn More
TEST_STREAM // DETECTION
NODES: 12,400 NODES
AI vision engine scanning web elements
Debug
STATUS: ACTIVE
Execution Speed0x
Telemetry Data Layer
FORMATS:JSONPDFCSVHTMLJUnit
Download Report

Autonomous AI testing platform for web and mobile apps. Eliminate flakiness with self-healing locators and distributed runner clusters.

Cluster Online
v1.0 Stable
Platform

AI-Native

Vision Engine

Zero-Latency

Test Execution

Autonomous quality engineering for modern SaaS.
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