Simulating connected and smart cities with augmented pedestrians.
A comprehensive, flexible ecosystem of tools, libraries and community resources that we make use of for state-of-the-art machine learning.
User interface is intuitively designed to make it extremely easy for the untrained user to quickly create and analyze environments, with capabilities ranging anywhere from public transport stations to airports, sports venues and whole cities.
Easily create environments to generate simulations across a wide range of scenarios using the sophisticated AI models based on real world data to test and design commercial plans to enhance city management, throughput and safety.