AutoX specializes in developing AI systems for autonomous vehicles, including real-time perception and decision-making capabilities. It integrates advanced algorithms to interpret data from various sensors, enabling the vehicle to navigate complex environments. AutoX also emphasizes safety features, ensuring that the autonomous system can make informed decisions while adhering to traffic laws and regulations. It aims to enhance the overall driving experience by delivering seamless, reliable, and user-friendly solutions for both passengers and fleet operators.

Cognexo is an advanced AI Agent that simplifies and automates everyday tasks. It leverages intelligent workflows to improve productivity across various domains. Users can create, manage, and optimize workflows through its intuitive interface, enabling seamless integration with popular software tools for real-time data processing, enhanced team collaboration, and improved decision-making. From managing schedules to automating repetitive tasks, Cognexo is designed to adapt to the unique needs of each user.

The Multi-Agent Autonomous Waste Collection System is a research-driven platform that employs multi-agent reinforcement learning to train individual waste-collecting robots to collaborate on route planning. Agents learn to avoid redundant coverage, minimize travel distance, and respond to dynamic waste generation patterns. Built in Python, the system integrates a simulation environment for testing and refining policies before real-world deployment. Users can configure map layouts, waste drop-off points, agent sensors, and reward structures to tailor behavior to specific urban areas or operational constraints.