Catog Automation

Catog Automation is a state-of-the-art, AI-orchestrated platform designed to bridge the gap between human intent and complex digital workflows. Unlike traditional RPA tools that rely on brittle selectors and hardcoded scripts, Catog leverages advanced Vision-Language Models (VLM) to understand and interact with any application—browser or desktop—exactly as a human would. At its core, the system utilizes a high-performance serving stack optimized for AMD ROCm and AMD Instinct™ MI300X hardware. By orchestrating a specialized multi-model pipeline—utilizing Qwen-VL for UI perception, OmniParse for structured data extraction, and Qwen-Coder for real-time execution—Catog "sees" the environment, identifies interactive elements, and generates precise automation patches on the fly. Key Features & Updates: OmniParse Integration: Advanced data ingestion that converts complex UI screenshots and documents into structured, LLM-ready context. Cross-Platform Support: Full compatibility with macOS and Windows desktop environments. Self-Evolving Intelligence: Integrated self-learning capabilities that allow the agent to adapt to UI changes and refine execution logic autonomously.