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.

CityLearn provides a modular simulation platform for energy management research using reinforcement learning. Users can define multi-zone building clusters, configure HVAC systems, storage units, and renewable sources, then train RL agents against demand response events. The environment exposes state observations like temperatures, load profiles, and energy prices, while actions control setpoints and storage dispatch. A flexible reward API allows custom metrics—such as cost savings or emission reductions—and logging utilities support performance analysis. CityLearn is ideal for benchmarking, curriculum learning, and developing novel control strategies in a reproducible research framework.

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.