As cities rethink the future of mobility and cycling adoption accelerates worldwide, one challenge remains stubbornly constant: safety. Addressing this urgent issue, Luna Systems, a Dublin founded startup developing AI powered Advanced Rider Assistance Systems for bikes and motorcycles, has secured 1.5 million euros to launch a new portfolio of AI driven safety camera hardware. The investment marks a turning point for the company as it pivots from early work in the e scooter market to becoming a leading innovator in cycling and motorcycle safety.
From E Scooter Compliance to Real World Rider Protection
Luna Systems began in 2020 at Dublin City University with a focus on improving safety in shared e scooter fleets. Its technology used computer vision to understand riding behaviour and help operators win city tenders. However, as global shared scooter markets plateaued and then contracted, the demand for this technology diminished.
Rather than abandon the innovation, CEO Andrew Fleury and COO Maria Diviney reassessed the company’s mission. They realised that the true need for their technology lay in cycling and motorcycling, sectors where road fatalities continue to rise. The pivot, Fleury explains, was motivated by a simple question: where does this technology matter most? The answer was clear. Personal mobility riders, especially cyclists, face daily risks with little technological protection.
Fear as the Barrier to Cycling Adoption
Luna’s mission is not simply to improve safety, but to remove the fear that keeps people off bikes. Fleury believes cycling is the future of urban mobility, but one crucial barrier remains: riders fear mixing with traffic. In many cities, six out of ten people say they avoid cycling because of safety concerns. Infrastructure improvements help, but progress takes years. Luna sees its technology as a bridge that can protect riders now while cities catch up.
Bringing ARAS Technology to Bikes and Motorcycles
The company is now bringing automotive grade safety intelligence to two wheeled mobility. For years, Luna offered only Vision AI software. With this investment, it is transitioning into a full system provider.
Its 2026 product roadmap includes a dual camera AI system built for integration by e bike and motorcycle manufacturers. Features include blind spot detection, collision warnings, headway monitoring and intelligent in ride alerts. The system pairs with a smartphone app to give riders real time situational awareness. A rear facing camera launching this year will be the first consumer product.
Luna’s approach builds on radar concepts already used by some cycling products but goes further. Vision AI interprets context, understands lane positions and identifies close passes with greater accuracy. It also tags incidents, maps blackspots and records evidence while preserving privacy through automated face and licence plate blurring.
Engineering AI at the Edge
Bringing advanced AI to bikes is technically difficult. E bikes have limited space, power and cooling capacity. AI chips must be efficient and reliable in real world outdoor environments. These constraints have slowed development across the industry, but Fleury believes the required hardware is finally ready. Luna’s engineering team has developed AI models that operate efficiently at the edge, enabling real time situational awareness without draining battery or requiring cloud connectivity.
A Strategic Pivot That Required Starting from Scratch
The shift from scooters to cycling and motorcycles demanded new technical, commercial and industry expertise. Fleury describes it as “almost like starting again,” with entirely different customer cycles and validation requirements. The company chose a direct to consumer launch before integrating with manufacturers, mirroring the path taken by automotive pioneers like Mobileye.
Targeting Early Adopters: Commuters, Enthusiasts and Cargo Riders
Luna will initially target commuters, cargo bike users and cycling enthusiasts, groups most motivated by safety and familiar with premium cycling technology. Direct sales will enable rapid iteration, real world testing and brand building before entering OEM partnerships.
Backed by Industry Leaders in Cycling and Mobility
The late seed round was led by cycling specialist venture firm Fundracer Capital with participation from EIT Urban Mobility and Enterprise Ireland. Fundracer brings deep domain experience through founders who previously built major cycling brands including Cervélo, 3T and Zipp. Investors believe Luna’s vision aligns perfectly with the future of cycling safety.
With new capital and strong industry backing, Luna Systems aims to become a foundational technology for safer cycling and motorcycling globally. By combining real time Vision AI with accessible rider hardware, the company hopes to encourage more people to cycle with confidence and reshape how cities think about personal mobility safety.