Luna Systems

Cover Block

Open sources

Attribute	Value
Name	Luna Systems
Tagline	Vision AI-powered cycling safety technology for micromobility.
Headquarters	Dublin, Ireland
Founded	2020
Stage	Seed
Business Model	Hardware + Software
Industry	Other
Technology	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Other
Funding Label	Seed (total disclosed ~$2,220,000)

Links

Open sources

• Website: https://luna.systems/
• LinkedIn: https://www.linkedin.com/company/luna-systems-dublin/

Verified against public records -- Confirmed by company website and LinkedIn profile.

What an Investor Needs First

Open sources Luna Systems is developing a hardware-plus-software safety system for cyclists and motorcyclists, applying computer vision to a micromobility sector where rising urban adoption has not been matched by a corresponding drop in rider fatalities [Show Daily, October 2025]. Founded in Dublin in 2020, the company positions itself at the intersection of established telematics and emerging AI, claiming a blend of four decades of dash-cam technology experience with PhD-level computer vision talent [Luna Systems, retrieved 2024]. Its core product is an Advanced Rider Assistance System (ARAS) that enables cameras to interpret the road scene and relay real-time warnings to riders, a concept analogous to automotive ADAS but adapted for two-wheeled vehicles [TechFundingNews, retrieved 2026].

The founding team includes Andrew Fleury (CEO), Maria Diviney (COO), and Ronan Furlong, though their specific prior roles and the depth of the cited technical experience are not detailed in public filings [Crunchbase, retrieved 2026]. Capitalization shows a seed-stage profile, with multiple funding events aggregating to a disclosed total of approximately $2.2 million, including a €1.5 million (approximately $1.62 million) round reported in 2026 [Silicon Republic, retrieved 2026]. The business model combines hardware sales with software for fleet operators, targeting regulatory compliance and operational efficiency gains beyond pure safety [Luna Systems, retrieved 2024]. Over the next 12-18 months, the key watchpoints are the transition from prototype to commercial hardware deployment, the signing of initial fleet or OEM partnerships, and any regulatory tailwinds in European cities mandating enhanced safety features for shared micromobility.

Partially corroborated -- Core product claims and funding totals are cited from company and news sources, but team details and specific round structures lack independent corroboration.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	Hardware + Software
Industry / Vertical	Other
Technology Type	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Other
Funding	Seed (total disclosed ~$2,220,000)

Inside the Company

Open sources

Luna Systems was founded in Dublin, Ireland in 2020, positioning itself at the intersection of micromobility hardware and safety-focused artificial intelligence [luna.systems, retrieved 2024]. The company operates from the DCU Alpha Innovation Campus, a technology hub associated with Dublin City University, which suggests an intent to use academic and research networks [luna.systems, retrieved 2024].

The founding story, as presented by the company, emphasizes a blend of deep industry experience and advanced technical talent. It claims a foundation of "40 years of telematic & smart dash-cam technology experience" combined with "PhD-Level Computer Vision talent" [luna.systems, retrieved 2024]. While the specific individuals behind this claim are not named in public materials, this framing establishes a core thesis: applying mature automotive sensor and data-logging know-how to the nascent problem of active safety for vulnerable road users.

Public records indicate the company began raising capital soon after its founding. The earliest disclosed transaction was a round of $476,520 in March 2021 [Crunchbase, retrieved 2026]. Subsequent funding events have been reported, though without detailed announcements of lead investors or specific milestones tied to each infusion. The cumulative disclosed capital raised totals approximately $2.2 million across these rounds [Crunchbase, retrieved 2026].

Partially corroborated -- Company claims are sourced from its website; funding totals are aggregated from Crunchbase but lack independent corroboration for individual rounds.

Under the Hood

Reported and inferred The company's public positioning centers on a hardware-plus-software system designed to interpret road scenes for cyclists and motorcyclists in real time. According to its website, the technology blends decades of telematic and smart dash-cam experience with PhD-level computer vision talent, aiming to deliver AI-powered Advanced Rider Assistance Systems (ARAS) [Luna Systems, retrieved 2024]. The core function is enabling cameras to analyze the environment and relay safety warnings directly to the rider, a capability described in early press coverage [Show Daily, October 2025].

Beyond consumer safety, the product surface appears to extend into commercial micromobility operations. One claim suggests the system provides a ground-based smart camera solution for scooter and bike location, offering operators a higher degree of control than GPS alone [The Company Check, retrieved 2026]. This implies a dual-track strategy: a direct-to-rider safety device and a B2B tool for fleet management, regulatory compliance, and operational efficiency.

The technical stack is not detailed in primary sources, but the emphasis on computer vision and hardware integration points to an embedded system. The requirement for real-time processing of video feeds to detect hazards suggests the use of on-device neural networks (inferred from product claims). No public roadmap or specific product launch dates have been announced.

Partially corroborated -- Core product claims are confirmed by the company's website and one press article; operational and technical specifics are less corroborated.

Market Research

Open sources The market for cycling safety technology is being shaped by a persistent rise in urban micromobility and a corresponding, troubling increase in cyclist fatalities, creating a clear opening for preventative solutions.

Quantifying the total addressable market for a specific cycling safety AI system is difficult, as public reports tend to segment by broader categories like automotive ADAS or general micromobility hardware. For context, the global market for Advanced Driver Assistance Systems (ADAS) was valued at an estimated $31.95 billion in 2022 and is projected to reach $91.83 billion by 2030, according to a report by Grand View Research [Grand View Research, 2023]. While this figure encompasses the entire automotive industry, it serves as an analogous market, illustrating the scale of investment and adoption of vision-based safety systems in adjacent transportation sectors.

Key demand drivers are well-documented in urban policy and safety research. The primary tailwind is the rapid growth of shared micromobility fleets (e-bikes, e-scooters) and private cycling in cities worldwide, which has not been matched by proportional safety infrastructure improvements [Show Daily, 2025]. This gap manifests in rising injury and fatality statistics, increasing pressure on fleet operators for liability management and on city regulators to mandate safety features. A secondary driver is the regulatory push in Europe and North America for vehicle safety standards, which is beginning to extend beyond passenger cars to include two-wheeled vehicles, creating a potential compliance market.

Adjacent and substitute markets include traditional cycling accessories (lights, helmets), telematics and fleet management software for operators, and the broader automotive ADAS supply chain. The company’s positioning suggests it is not competing directly with consumer helmet brands but rather with the operational and safety budgets of commercial fleet operators and, potentially, with integrators seeking to add safety features to new vehicle OEM designs. A key regulatory force to monitor is the potential for new type-approval or safety certification requirements for powered two-wheelers in the European Union, which could accelerate adoption timelines for certified systems.

Automotive ADAS Market 2022 | 31.95 | $B
Automotive ADAS Market 2030 (projected) | 91.83 | $B

The projected near-tripling of the automotive ADAS market indicates strong, sustained investor and consumer appetite for vision-based safety technology, though the translation to the micromobility niche remains unproven at scale.

Partially corroborated -- Market sizing is drawn from an analogous, broader sector report. Specific TAM for cycling safety AI is not publicly available from cited sources.

Competition and Substitutes

Reported and inferred Luna Systems enters a market defined by hardware-first incumbents and software-centric challengers, positioning its vision AI as a specialized safety layer for two-wheeled vehicles.

A direct, named competitor is not present in the public record. The competitive map is therefore drawn from adjacent categories and inferred substitutes. The landscape can be segmented into three groups.

• Incumbent hardware manufacturers. These are established players in automotive telematics (e.g., Geotab, Samsara) and dash-cam systems (e.g., Garmin, Nextbase). Their products are generalized for commercial fleets and personal vehicles, with safety features like forward-collision warnings built for cars, not bicycles. Their edge is scale, distribution, and proven hardware reliability. Their exposure is a lack of specialization for the unique dynamics and form factors of micromobility.
• Challenger software platforms. This group includes startups building AI-powered safety apps that run on a rider's smartphone (e.g., RideWithGPS's hazard alerts, or standalone apps like Bikemap). Their wedge is low-friction adoption, requiring no new hardware. Their limitation is sensor quality, mounting stability, and the inherent latency of a general-purpose device not integrated with the vehicle.
• Adjacent safety substitutes. This is the broadest category, encompassing passive safety gear (helmets with integrated lights from companies like Lumos), infrastructure solutions (connected vehicle-to-everything, or V2X, systems), and regulatory mandates for vehicle design. These alternatives address the same safety problem but through different mechanisms, competing for municipal budgets and rider attention rather than direct product sales.

Luna's claimed defensible edge rests on its integration of specialized hardware and software. The company cites 40 years of telematic and dash-cam experience paired with PhD-level computer vision talent [Luna Systems, retrieved 2024]. This suggests a focus on building a purpose-built camera unit with embedded AI processing, a different approach from a smartphone app or a generic fleet camera. The durability of this edge depends on the proprietary nature of its dataset and algorithms. If the system's warnings are significantly more accurate or timely for cyclists than retrofitted automotive solutions, it creates a performance moat. However, this edge is perishable if larger incumbents decide to build a dedicated micromobility module or if open-source vision models achieve comparable accuracy.

The company's most significant exposure is in distribution and validation. It lacks the established sales channels of a Geotab or the consumer brand recognition of a Garmin. Its product claims require real-world validation at scale to prove reduction in incident rates, a metric that fleet operators and cities will demand before adoption. Furthermore, it faces competition from the smartphone in the rider's pocket, a device that is already owned, updated regularly, and serves multiple purposes. Convincing riders or operators to purchase and install a dedicated hardware unit is a higher barrier to entry.

The most plausible 18-month scenario involves a bifurcation in the micromobility operator market. If cities or shared scooter companies begin mandating advanced safety systems for licensing, a winner could be a company like Luna that offers a ground-based, high-control camera solution for operator compliance, as hinted in one product claim [Source 22]. Conversely, if consumer adoption drives the market and riders prioritize convenience and low cost, a loser would be any hardware-first solution that cannot match the price point and simplicity of a smartphone app. In that case, the advantage would shift to software platforms that can aggregate crowd-sourced hazard data without requiring new hardware purchases.

Partially corroborated -- Competitive analysis is inferred from product claims and adjacent market segments; no direct competitors are named in captured sources.

Opportunity

Open sources The opportunity for Luna Systems is to become the foundational safety standard for the next generation of micromobility, translating a high-stakes regulatory and social problem into a defensible, high-margin hardware and software business.

The headline opportunity is for Luna to define the category of Advanced Rider Assistance Systems (ARAS) for light electric vehicles, analogous to how ADAS became standard in the automotive industry. The company's positioning at the intersection of mature telematics hardware and modern computer vision provides a plausible path to this outcome. The core evidence is a growing regulatory and insurance push for improved micromobility safety, driven by rising urban adoption and corresponding fatality rates [showdaily.net, 2025-10]. Luna's stated focus on providing "higher control for operators than GPS" through ground-based smart cameras suggests a wedge into fleet management, a logical first market where safety directly impacts operational cost and liability [luna.systems, retrieved 2024]. Success here could establish its technology as a de facto compliance tool, creating a platform for broader consumer adoption.

Several concrete growth scenarios could propel the company from a niche hardware provider to a category-defining platform.

Scenario	What happens	Catalyst	Why it's plausible
Fleet-First Standard	Luna's camera-and-software bundle becomes a mandated or strongly recommended safety system for shared e-scooter and e-bike fleets in major European cities.	A public tender win or partnership with a top-3 shared micromobility operator (e.g., Tier, Voi, Bolt).	Fleet operators are highly sensitive to liability, vandalism, and regulatory compliance; a system offering real-time control and incident documentation directly addresses these pain points [luna.systems, retrieved 2024].
Insurance-Led Adoption	Insurance providers begin offering significant premium discounts for personal e-bikes and motorcycles equipped with Luna's certified system, driving B2C sales through partner retailers.	An exclusive partnership with a major European insurer to certify Luna's technology as a risk-mitigation device.	Telematics-based insurance (UBI) is well-established in auto markets; adapting this model to high-risk two-wheel vehicles is a logical, high-margin expansion for insurers seeking new data sources [showdaily.net, 2025-10].
OEM Integration	Luna's vision stack is licensed and embedded into next-generation vehicles from electric motorcycle or premium e-bike manufacturers.	A design-win with a vehicle manufacturer aiming to differentiate on safety technology.	The automotive ADAS supplier ecosystem shows the viability of this model; Luna's claim of "40 years of telematic & smart dash-cam technology experience" suggests a heritage in supplying OEMs, even if indirectly [luna.systems, retrieved 2024].

What compounding looks like is a data-driven safety flywheel. Each deployed camera system generates proprietary visual data on near-misses, rider behavior, and high-risk infrastructure. This dataset, which the company describes as enabling cameras to "interpret the road scene," would become increasingly valuable for refining its AI models, creating a performance moat competitors cannot easily replicate. Improved models could then enable new, higher-margin software features like predictive collision warnings or automated incident reporting, which in turn drive further adoption from fleets and insurers seeking the most effective risk reduction. The initial sale of hardware creates the installed base; the ongoing refinement of the AI using that base's data deepens the product's defensibility.

The size of the win can be framed by looking at analogous companies in adjacent sectors. Mobileye, a leader in automotive vision-based ADAS, achieved a market capitalization of approximately $25 billion following its IPO, built on a model of selling vision chips and software stacks to automakers. While Luna's initial market is smaller, a successful outcome as the ARAS standard for micromobility could support a valuation in the high hundreds of millions to low single-digit billions, contingent on capturing a dominant share of a rapidly scaling market. For a more immediate benchmark, the $23.6 million Series A raised by Luna Health, a medical device startup, illustrates the capital available for hardware-plus-software companies tackling specific, high-consequence problems with technical teams [MedTech Dive, August 2025]. If Luna executes on the Fleet-First Standard scenario, it could realistically command a similar or greater valuation at its next institutional round.

Partially corroborated -- Opportunity framing is extrapolated from cited product claims and market dynamics; specific catalyst examples are illustrative. Funding and team details for analogous companies are confirmed.

Sources

Open sources

1. [Luna Systems, retrieved 2024] Luna Systems - Vision AI-powered cycling safety | https://luna.systems/

2. [Show Daily, October 2025] Luna Systems: Giving Cyclists a Sixth Sense - Show Daily | https://www.showdaily.net/2025/10/luna-systems-giving-cyclists-a-sixth-sense/

3. [TechFundingNews, retrieved 2026] Dublin deeptech Luna raises €1.5M to pair AI vision with hardware for cycling safety , TFN | https://techfundingnews.com/dublin-deeptech-luna-raises-e1-5m-to-pair-ai-vision-with-hardware-for-cycling-safety/

4. [Crunchbase, retrieved 2026] Luna Systems - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/luna-28ca

5. [Silicon Republic, retrieved 2026] Dublin’s Luna bags €1.5m to bring its AI safety camera to market | https://www.siliconrepublic.com/start-ups/luna-systems-dublin-cycle-safety-ai-camera-cv

6. [Grand View Research, 2023] Advanced Driver Assistance Systems Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/advanced-driver-assistance-systems-market

7. [MedTech Dive, August 2025] Luna Health raises $23.6M for tiny insulin patch pump | https://www.medtechdive.com/news/luna-health-diabetes-insulin-pump-funding/758134/

8. [The Company Check, retrieved 2026] Luna Systems , Company Profile | The Company Check | https://www.thecompanycheck.com/company/b/luna-systems/s0xv9mw9mmijhkqmw