Luna Systems Raises €1.5m to Launch AI Camera Safety Systems for Cyclists and Motorcyclists

Image caption: Luna Systems - Andrew Fleury (CEO) and Maria Diviney 

Dublin, Ireland -  Luna Systems, a leading provider of AI-powered Advanced Rider Assistance Systems for cycling and motorcycles, has secured a €1.5 million investment to bring to market a portfolio of new AI safety camera hardware. The late seed round was led by cycling-focused VC firm Fundracer Capital and EIT Urban Mobility, and supported by Enterprise Ireland.

Inspired by the safety benefits of automotive ADAS, Luna Systems focuses on accelerating the adoption of similar systems for cycling and motorcycles where fatalities continue to rise. To date the company has serviced the market with its advanced Vision AI safety software only. This fresh round of funding accelerates its route to market as a full system provider vastly widening its commercial scope. 2026 product launches include:

• A dual AI camera system designed for integration by e-bike and motorcycle manufacturers, providing a suite of safety features, including collision warning, blindspot detection, headway monitoring and more.
• Luna’s first consumer cycling product — a rear-facing AI camera paired with a connected smartphone app for cyclists

The company’s consumer product enters the market as a new category in cycling safety. Building on the concept of radar cycling products, Luna’s solution will provide similar in-ride vehicle proximity warnings, but also leverage its AI for intelligent evidence recording as well as post-ride mapping of incidents for blackspot identification. The consumer product is geared towards road and commuter cyclists with the goal of helping cyclists feel safer and more confident as they navigate traffic. Launching later this year, it will be available directly, as well as through selected European distributors.

Andrew Fleury, CEO of Luna Systems:
“ADAS technology for cars advances daily. We believe that - just like cars - ARAS will be just as commonplace on bikes and motorbikes in the coming years. Six in ten people are still too afraid to cycle in their area. Fear of mixing in traffic is a crucial barrier preventing people from getting on a bike - especially in a busy city. ARAS can help the bike industry to capture new segments, especially the commuter cycling segment, where the element of fear is highest. In most countries, people will wait years for the perfect cycling infrastructure. Meanwhile, technology is here that can play a huge role to bridge that gap, helping everyone to feel safer as they move through their city”. 

“This funding enables us to accelerate our hardware development and push on with our mission. We are extremely grateful to all of our shareholders and honoured that Fundracer has come on board. Each of the Fundracer team has made an incredible contribution to the industry, and we are thankful to be able to benefit from their guidance. We are equally appreciative to EIT Urban Mobility and Enterprise Ireland for their continued support and trust”. 

Fundracer, founded in the Netherlands, is led by industry-renowned cycling entrepreneurs, René Wiertz (Founder, 3T Cycling), Gerard Vroomen (Founder, Cervélo), and Andy Ording (Founder, Zipp Wheels). The firm invests in emerging technologies with a focus on safety, efficiency, and innovation. Its portfolio includes Specter, Blubrake, and Litelok, reflecting Fundracer’s commitment to advancing the next generation of cycling and mobility solutions.

René Wiertz, Founder and Managing Partner at Fundracer Capital:
“Luna’s technology and philosophy exactly align with our vision. To date, high-level innovation has focused significantly on supporting the needs of professional and experienced cyclists, but to support the industry’s growth as a whole, everyone needs to feel safe navigating busy urban environments.

“After our market consultation, we were impressed by Luna’s ambition and technological competence, and feel they are well placed to lead this mission with their solutions. While radar solutions have captured market attention over the past decade, advancements in AI make vision a better choice from our perspective. Vision AI doesn’t just detect. Its data capture capabilities help identify risk blackspots resulting from unsuitable cycling infrastructure, empowering cyclists to map safer routes.

Peter Vest, Investment & Portfolio Manager at EIT Urban Mobility: 
“We are proud to continue supporting Luna, a company that embodies EIT Urban Mobility’s mission to make urban mobility safer. We are equally delighted to welcome Fundracer, whose deep expertise in the cycling industry brings invaluable insight. With both investors actively engaged in advancing mobility innovation, I am confident we can help Luna scale across Europe and beyond to make cycling more accessible for all.”

The additional funding from Enterprise Ireland, the Irish government agency responsible for supporting innovation and scaling Irish businesses globally, underscores national support for Luna’s growth and international ambition.

Donnchadh Cullinan, Head of Enterprise Solutions at Enterprise Ireland, said, “At Enterprise Ireland, we understand the importance and necessity of emerging deep-tech, which offers solutions to global problems. Luna Systems’ highly innovative and disruptive Advanced Rider Assistance Solution addresses a gap in the market, providing cyclists and motorcyclists with the technology to feel safe while navigating busy and congested urban roadways. Enterprise Ireland is proud to invest in the team and looks forward to continuing to work with Luna Systems as it executes its plans. Today’s announcement will further allow Luna Systems to grow and compete, bringing its technology solution to the global market.”

About Luna Systems
Founded in Dublin City University in 2020, Luna Systems is a deep-tech pioneer in camera AI (computer vision), Advanced Rider Assistance Systems (ARAS), tackling the safety gap in cycling and global motorcycle markets. It leverages cutting-edge techniques to deliver high-performance monocular 3D reconstruction and low-latency edge inference that is optimised for constrained compute environments. ARAS models operate on minimal silicon footprints, enabling deployment on entry-level SoCs for scalable safety. By integrating real-time risk alerts, post-ride incident analytics, and SDK-level OEM integration, Luna delivers highly adaptive and future-proof safety solutions. 

Media Contact:
Luna Systems
press@luna.systems
+353 83 803 1003