In January 2026, the Dublin-based computer vision startup Luna Systems secured €1.5 million ($1.6M) in a Seed funding round. The investment was led by Enterprise Ireland, with participation from a group of strategic angel investors specializing in urban mobility.
The company is led by Co-Founder and CEO Andrew Fleury. Luna Systems is building an AI-powered “Active Safety” layer for e-scooters and e-bikes, utilizing edge-based computer vision to detect sidewalk riding, pedestrian proximity, and parking compliance in real-time.
Micromobility operators currently face intense regulatory pressure regarding sidewalk safety and chaotic parking. Luna addresses this by integrating high-fidelity vision sensors directly into vehicle hardware, allowing for autonomous speed reduction in high-risk zones. This move toward hardware-level situational awareness follows the same logic as connected mobility platforms, where real-time data is critical for fleet reliability.
The new capital will be used to accelerate the global rollout of its “Luna Computer Vision” platform and expand its engineering team in Ireland. By automating the enforcement of municipal safety rules, Luna provides a level of operational integrity similar to AI-native logic enforcement layers, ensuring that machine-driven mobility adheres to human-defined safety guardrails.
[Image of an e-scooter equipped with Luna Systems computer vision detecting a sidewalk boundary and alerting the rider]
Market Signal
- The “Edge-Vision” Alpha: Luna’s €1.5M round validates that cloud-based processing is too slow for urban safety. By moving AI inference to the “Edge” (on the vehicle itself), Luna creates a sub-second response loop that is a prerequisite for public trust in autonomous transit—a trend also seen in embedded defense systems.
- Regulatory Compliance as a Moat: As cities threaten to ban e-scooters over sidewalk clutter, Luna’s “Smart Parking” technology becomes a mission-critical utility for operators like Voi and Tier. This shift from “tracking” to “enforcement” mirrors the evolution of AI observability, where the focus is on preventing anomalies before they manifest.
- Hardware-Agnostic Scalability: Unlike OEM-specific tools, Luna is building a universal vision stack that can be retrofitted across different fleets. This horizontal approach allows Luna to become the “Standard API” for micromobility safety, much like the autonomous drone orchestration layers emerging in agriculture and industry.
Key Details
- Company: Luna Systems
- Funding: €1.5M Seed
- Headquarters: Dublin, Ireland
- Lead Investor: Enterprise Ireland
- CEO: Andrew Fleury
- Use Case: AI computer vision for e-scooter safety, sidewalk detection, and automated parking compliance
