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Luna Systems

Category: Computer Vision

An AI-powered computer vision platform that provides Advanced Rider Assistance Systems (ARAS) for micromobility vehicles to enhance safety and urban compliance. Luna Systems was founded in 2019. The company is led by Andrew Fleury. Based in Dublin, Ireland. Team size: 11-50. Total funding raised: €2.5M. Latest round: Late Seed (€1.5M, Jan 2025). Key investors include ["Fundracer Capital","EIT Urban Mobility","Enterprise Ireland"].

Founded
2019
Headquarters
Dublin, Ireland
Team size
11-50
Total funding
€2.5M

Value proposition

Reduces accidents and sidewalk riding through real-time AI alerts and automated vehicle intervention, while providing cities with data-driven insights for safer infrastructure.

Products and solutions

["ARAS Software Suite (Sidewalk detection, collision warning, pedestrian detection)","Dual AI Camera Hardware (OEM-integrated safety modules)","Consumer Safety Device (Rear-facing AI camera + smartphone app for cyclists)","Post-Ride Incident Analytics Dashboard","Proprietary Lane Segmentation Algorithms"]

Unique value

Utilizes a 'camera as a sensor' approach specifically optimized for light vehicles, solving the critical 'sidewalk riding' problem that traditional GPS cannot accurately detect.

Target customer

Shared micromobility operators (e.g., Tier, Voi, Dott), vehicle OEMs (e.g., Segway-Ninebot), and city planning authorities.

Industries served

["Micromobility","Smart Cities","Transportation & Telematics","Automotive Safety"]

Technology advantage

Edge AI capabilities that run on minimal silicon footprints (Qualcomm Snapdragon), allowing for real-time vehicle deceleration and rider coaching without cloud latency.

How they differentiate

Luna differentiates through its 'Edge AI' approach, utilizing high-performance Qualcomm Snapdragon chipsets to process computer vision locally on the vehicle. This allows for real-time intervention (e.g., automatic slowing on sidewalks) without cloud latency, whereas many competitors focus on post-ride compliance or lower-frequency GPS-based data.

Main competitors

["Drover AI","Captur","Vianova"]

Key partnerships

["Qualcomm (Integration with Snapdragon Digital Chassis)","Segway-Ninebot (Global hardware partnership for S90L and Pilot Edge scooters)","Tier Mobility & Dott (Fleet-wide safety trials and deployments)","EIT Urban Mobility & Enterprise Ireland (Strategic funding and scaling partners)"]

Notable customers

["Tier Mobility","Dott","Voi","Segway-Ninebot","Qualcomm"]

Major milestones

["Partnered with Segway-Ninebot to integrate AI vision into the S90L scooter (2021)","Selected by Qualcomm to integrate with the Snapdragon Digital Chassis for micromobility (2023)","Launched consumer-facing AI safety camera for cyclists (2024)","Secured €1.5M Late Seed funding to scale hardware production (2025)"]

Growth metrics

Scaled from R&D pilots to global OEM integration with Segway-Ninebot; expanded product line from shared fleet software to consumer-grade hardware.

Market positioning

Specialized B2B and OEM technology provider focusing on Advanced Rider Assistance Systems (ARAS) for the micromobility sector.

Geographic focus

Europe (Primary), North America, and Middle East.

Patents and IP

Proprietary computer vision and lane segmentation algorithms developed at Dublin City University (DCU) Alpha innovation campus; specific public patent filings not disclosed.

About Andrew Fleury

Andrew is a serial entrepreneur with over 20 years of experience in telematics and fleet management. He previously founded and served as CEO of Transpoco, a leading fleet management software company, for 17 years before co-founding Luna Systems to apply computer vision to micromobility.

Official website: