Luna Systems

Based in Dublin, Ireland, Luna Systems was founded in 2019 by Andrew Fleury, Ronan Furlong, and Philip Corri to enhance safety for micromobility vehicles. The company provides AI-powered computer vision and IoT solutions to monitor and manage how e-scooters and two-wheeled vehicles are ridden and parked. Its core product is an Advanced Rider Assistance System (ARAS) that uses camera sensors and AI to provide real-time alerts for hazards like forward collisions, as well as post-ride analytics to help riders improve their safety skills.

Luna Systems serves both the shared micromobility and consumer markets. For shared fleet operators, the technology helps address issues like sidewalk riding, collisions, and improper parking, which are major concerns for cities. It uses AI to verify correct parking via end-of-ride photos, ensuring vehicles are not obstructing public spaces. For individual consumers, the company is developing a system that turns a smartphone into an AI-powered rear-view mirror, providing warnings when vehicles approach too closely. The business model involves partnerships with major OEMs, software integrations, and providing plug-and-play camera systems.

The company has engaged in significant partnerships to scale its technology. In 2023, it announced a collaboration with Segway-Ninebot to deploy its computer vision technology across Segway's micromobility offerings. A key partnership with Qualcomm Technologies allows Luna's ARAS to run on the Snapdragon Digital Chassis, aiming to make advanced safety features more accessible and affordable for the broader two-wheeler market, including in emerging economies like India. Luna has also worked with partners like JMO and CODICO to develop an integrated infotainment "Smart Cluster" for motorcycles that includes its ARAS technology. The startup has received funding from an EIT New European Bauhaus initiative and has been backed by investors including former Irish rugby player Brian O'Driscoll.

Keywords: micromobility safety, computer vision, advanced rider assistance system, ARAS, e-scooter, IoT, AI safety, fleet management, smart mobility, pedestrian detection, collision avoidance, shared mobility, urban technology, rider analytics, parking detection, two-wheeler safety, Qualcomm, Segway, sustainable mobility, rider coaching