Solar Pro is designed to empower users in managing solar energy projects effectively. It offers features like performance monitoring, predictive maintenance, and tailored recommendations based on real-time data analysis. This AI agent integrates seamlessly with solar energy systems to ensure optimal performance and maximizes energy production, making it an invaluable tool for both residential and commercial solar energy users.

Solaviewer is an AI-powered platform that allows users to design their own photovoltaic (PV) systems quickly and efficiently. With its user-friendly interface, customers can create PV systems in minutes. Solaviewer also offers features such as analytics to track user interactions and monitor the systems created by visitors. This platform aims to increase conversions by providing a fast and intuitive way for users to visualize their future PV systems.

Toyota Woven City is a visionary project that integrates cutting-edge AI technologies within a fully connected city environment. This project aims to optimize urban living by focusing on smart mobility solutions, efficient energy management, and seamless integration of automated systems. AI agents in Woven City enhance transportation systems, facilitate automated services, and monitor energy consumption, providing residents with a futuristic and sustainable lifestyle experience.

Goptimise is a sophisticated cloud-based platform designed to help companies control and optimize their energy assets. By utilizing advanced analytics and data-driven insights, the platform enables businesses to streamline energy consumption, reducing costs and maximizing profit margins. With features like real-time monitoring and automated reporting, Goptimise offers comprehensive solutions tailored to meet the unique needs of different industries.

JADE-DR-VPP is an open-source Java framework that implements a multi-agent system for Virtual Power Plant (VPP) demand response (DR). Each agent represents a flexible load or generation unit that communicates via JADE messaging. The system orchestrates DR events, schedules load adjustments, and aggregates resources to meet grid signals. Users can configure agent behaviors, run large-scale simulations, and analyze performance metrics for energy management strategies.

Q-Bot develops intelligent robotic systems designed to inspect, monitor, and insulate building underfloors. These systems leverage AI and state-of-the-art robotics technology to apply high-quality foam insulation efficiently and with minimal disruption. This innovative approach significantly reduces heat loss in buildings, leading to substantial energy savings and improved living conditions. By enhancing thermal performance, Q-Bot helps homeowners and landlords achieve higher energy efficiency standards.