Contigo Mobility, a key player in electric vehicle (EV) mobility solutions, has announced the worldwide rollout of its AI-powered technology, CoMoAI. Over the next six months, all CoMo and CoMoTo fleet vehicles across the globe will be equipped with advanced front and rear-facing cameras, capable of capturing live video and images. These recordings will be automatically transmitted to a central server for processing and analysis.
This initiative is designed to revolutionise urban mobility by leveraging AI-driven insights to improve journey efficiency, enhance safety, and deliver real-time data on road conditions. At present, the CoMo and CoMoTo fleet is already integrated with IoT technology that tracks location, vehicle condition, battery performance, and riding behaviour. By incorporating high-resolution video analytics, CoMoAI will take mobility intelligence to a new level.
The AI-powered system will use machine learning to analyse collected video and images, assessing traffic flow, environmental conditions, and surrounding infrastructure. The goal is to provide riders and delivery service users with optimised route suggestions, allowing them to avoid congestion, detect obstacles, and navigate more efficiently. Furthermore, the data will contribute to improved safety measures, ensuring a more secure travel experience.
“Our vision is to transform mobility intelligence through real-time data collection and AI-powered analytics. By the end of 2025, we are targeting close to 100,000 CoMo and CoMoTo units actively collecting video and image data, making Contigo Mobility the largest moving data collector globally,” said Zuhri Yusof, CEO of Contigo Technology Group.
“Our AI-driven system represents a breakthrough in mobility intelligence. With CoMoAI, we are not only improving the user experience but also laying the foundation for advanced real-time road monitoring, traffic optimisation, and predictive analytics,” said Sudhir Abdul Rahman, CTO of Contigo Technology Group. “This technology will revolutionise how mobility data is collected and utilised, benefitting riders, city planners, and even third-party stakeholders who require real-time mobility insights.”
To launch the initiative, Contigo Mobility will commence a pilot programme in London, using the city’s dense urban environment as an initial testing site before expanding into key CoMo markets such as Indonesia and other international locations. The newly integrated cameras provide a 130-degree field of view in both forward and rear directions, with the natural movement of motorcycles further enhancing the system’s ability to map and analyse surroundings.
Beyond improving urban mobility, CoMoAI will also play a crucial role in fostering a safer and more intelligent transport system. The vast amount of data collected by the CoMo fleet will be available for third-party integration, offering valuable insights for urban planning, traffic management, and intelligent transport networks.
With this significant step, Contigo Mobility continues to establish itself as a leader in AI-powered mobility innovation, setting new benchmarks for efficiency, safety, and data-driven urban transport solutions.
