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.

Devath is an innovative AI-driven smart home system designed to elevate your home automation experience. It integrates effortlessly with various smart devices, allowing users to control and automate their home environment through a user-friendly interface. With Devath, users can create customized scenarios, manage energy efficiency, and enhance overall convenience in their daily lives – all without needing any technical expertise or coding knowledge.