When challenges meet opportunities
The convergence of urbanization, climate imperatives, and technological advancement demands revolutionary transportation solutions. Traditional infrastructure cannot sustain tomorrow's mobility needs nor solve predictive challenges. The future demands integrated intelligence where roads think, adapt, and actively improve environmental conditions.
Urban Density Crisis
60% of the global population will be in cities by 2030, with $270B annual congestion costs worldwide that will triple without infrastructure transformation.
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Urban Density Crisis
60% of the global population will be in cities by 2030, with $270B annual congestion costs worldwide that will triple without infrastructure transformation.
Urban Density Crisis
60% of the global population will be in cities by 2030, with $270B annual congestion costs worldwide that will triple without infrastructure transformation.
Safety Imperative
1.3M traffic fatalities occur annually globally, where there is an 80% potential death reduction achievable. 30% of bridges worldwide are structurally deficient.
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Safety Imperative
1.3M traffic fatalities occur annually globally, where there is an 80% potential death reduction achievable. 30% of bridges worldwide are structurally deficient.
Safety Imperative
1.3M traffic fatalities occur annually globally, where there is an 80% potential death reduction achievable. 30% of bridges worldwide are structurally deficient.
Climate Action
60% of the global population will be in cities by 2030, with $270B annual congestion costs worldwide that will triple without infrastructure transformation.
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Climate Action
60% of the global population will be in cities by 2030, with $270B annual congestion costs worldwide that will triple without infrastructure transformation.
Climate Action
60% of the global population will be in cities by 2030, with $270B annual congestion costs worldwide that will triple without infrastructure transformation.
Economic Transformation
1.3M traffic fatalities occur annually globally, where there is an 80% potential death reduction achievable. 30% of bridges worldwide are structurally deficient.
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Economic Transformation
1.3M traffic fatalities occur annually globally, where there is an 80% potential death reduction achievable. 30% of bridges worldwide are structurally deficient.
Economic Transformation
1.3M traffic fatalities occur annually globally, where there is an 80% potential death reduction achievable. 30% of bridges worldwide are structurally deficient.
Lillyneir solution
ecosystem
Future-ready interconnected technology pillar portfolio that transforms transportation infrastructure from passive surfaces to intelligent, adaptive networks.
V2X Communication - The Transportation Nervous System
Vehicle-to-Everything (V2X) enables ubiquitous, real-time communication among vehicles, infrastructure, pedestrians, and traffic management systems. This is the foundation of intelligent mobility.
V2V
(Vehicle-to-Vehicle)
Direct car-to-car communication sharing speed, location, braking, and intentions.
Use-case:
A car warns of hard braking three vehicles ahead — invisible to the human eye but prevented through communication.
V2I
(Vehicle-to-Infrastructure)
Traffic lights, signs, and infrastructure communicate timing and conditions.
Use case
Traffic lights adjust sequencing in real-time, enabling vehicles to hit multiple greens, reducing stops and fuel consumption
V2P
(Vehicle-to-Pedestrian)
Smartphones and wearables alert vehicles about pedestrians and cyclists.
Use case
Vehicles automatically detect pedestrians about to cross and alert drivers, or autonomously slow down.
V2N
(Vehicle-to-Network)
Cloud connectivity for traffic data, weather, navigation, and emergency services.
Use case
Real-time rerouting based on accidents, weather, or events before drivers encounter problems.
Proven Impact
40-80% accident reduction through predictive hazard detection
30-35% congestion reduction via real-time coordination
€800B+ potential annual savings (EU alone)
Implementation Reality
U mandate: V2X required for 5-star safety ratings by 2027
China: 90% V2X infrastructure coverage by the end of 2025
Growing private sector investment signals "when" not "if"
V2X Communication - The Transportation Nervous System
Vehicle-to-Everything (V2X) enables ubiquitous, real-time communication among vehicles, infrastructure, pedestrians, and traffic management systems. This is the foundation of intelligent mobility.
V2V
(Vehicle-to-Vehicle)
Direct car-to-car communication sharing speed, location, braking, and intentions.
Use-case:
A car warns of hard braking three vehicles ahead — invisible to the human eye but prevented through communication.
V2I
(Vehicle-to-Infrastructure)
Traffic lights, signs, and infrastructure communicate timing and conditions.
Use case
Traffic lights adjust sequencing in real-time, enabling vehicles to hit multiple greens, reducing stops and fuel consumption
V2P
(Vehicle-to-Pedestrian)
Smartphones and wearables alert vehicles about pedestrians and cyclists.
Use case
Vehicles automatically detect pedestrians about to cross and alert drivers, or autonomously slow down.
V2N
(Vehicle-to-Network)
Cloud connectivity for traffic data, weather, navigation, and emergency services.
Use case
Real-time rerouting based on accidents, weather, or events before drivers encounter problems.
Proven Impact
40-80% accident reduction through predictive hazard detection
30-35% congestion reduction via real-time coordination
€800B+ potential annual savings (EU alone)
Implementation Reality
U mandate: V2X required for 5-star safety ratings by 2027
China: 90% V2X infrastructure coverage by the end of 2025
Growing private sector investment signals "when" not "if"
V2X Communication - The Transportation Nervous System
Vehicle-to-Everything (V2X) enables ubiquitous, real-time communication among vehicles, infrastructure, pedestrians, and traffic management systems. This is the foundation of intelligent mobility.
V2V
(Vehicle-to-Vehicle)
Direct car-to-car communication sharing speed, location, braking, and intentions.
Use-case:
A car warns of hard braking three vehicles ahead — invisible to the human eye but prevented through communication.
V2I
(Vehicle-to-Infrastructure)
Traffic lights, signs, and infrastructure communicate timing and conditions.
Use case
Traffic lights adjust sequencing in real-time, enabling vehicles to hit multiple greens, reducing stops and fuel consumption
V2P
(Vehicle-to-Pedestrian)
Smartphones and wearables alert vehicles about pedestrians and cyclists.
Use case
Vehicles automatically detect pedestrians about to cross and alert drivers, or autonomously slow down.
V2N
(Vehicle-to-Network)
Cloud connectivity for traffic data, weather, navigation, and emergency services.
Use case
Real-time rerouting based on accidents, weather, or events before drivers encounter problems.
Proven Impact
40-80% accident reduction through predictive hazard detection
30-35% congestion reduction via real-time coordination
€800B+ potential annual savings (EU alone)
Implementation Reality
U mandate: V2X required for 5-star safety ratings by 2027
China: 90% V2X infrastructure coverage by the end of 2025
Growing private sector investment signals "when" not "if"
Highway Corridor Digital Twins
Traffic simulation and capacity planning
Bridge Digital Twins
- Fatigue analysis and lifespan prediction
- Dynamic load management
- Optimized maintenance scheduling
- Emergency scenario modeling
Use case
Øresund Bridge - 850+ sensors, 94% prediction accuracy, $12M annual savings, 25% lifespan extension
Tunnel Digital Twins
- Air quality monitoring (CO, NO₂, particulates)
- Structural integrity tracking
- Traffic safety optimization
- System performance management
Use case
Gotthard Base Tunnel - 15,000 sensors, 40% cost reduction, 60% safety improvement
Digital Twin Infrastructure - Virtual Planning, Realized Outcome
A Digital Twin is a dynamic, real-time digital replica of physical infrastructure that mirrors reality, updates continuously, enables risk-free simulation, and provides predictive insights. The system incorporates 3D modelling, real-time sensor data, simulation engines, and AI analytics solutions to enable advanced data visualization dashboards for decision-making.
Proven Impact
15-25% infrastructure development cost reduction
30% asset lifecycle extension
94% prediction accuracy
Eliminate catastrophic failure risks
Highway Corridor Digital Twins
Traffic simulation and capacity planning
Bridge Digital Twins
- Fatigue analysis and lifespan prediction
- Dynamic load management
- Optimized maintenance scheduling
- Emergency scenario modeling
Use case
Øresund Bridge - 850+ sensors, 94% prediction accuracy, $12M annual savings, 25% lifespan extension
Tunnel Digital Twins
- Air quality monitoring (CO, NO₂, particulates)
- Structural integrity tracking
- Traffic safety optimization
- System performance management
Use case
Gotthard Base Tunnel - 15,000 sensors, 40% cost reduction, 60% safety improvement
Digital Twin Infrastructure - Virtual Planning, Realized Outcome
A Digital Twin is a dynamic, real-time digital replica of physical infrastructure that mirrors reality, updates continuously, enables risk-free simulation, and provides predictive insights. The system incorporates 3D modelling, real-time sensor data, simulation engines, and AI analytics solutions to enable advanced data visualization dashboards for decision-making.
Proven Impact
15-25% infrastructure development cost reduction
30% asset lifecycle extension
94% prediction accuracy
Eliminate catastrophic failure risks
Highway Corridor Digital Twins
Traffic simulation and capacity planning
Bridge Digital Twins
- Fatigue analysis and lifespan prediction
- Dynamic load management
- Optimized maintenance scheduling
- Emergency scenario modeling
Use case
Øresund Bridge - 850+ sensors, 94% prediction accuracy, $12M annual savings, 25% lifespan extension
Tunnel Digital Twins
- Air quality monitoring (CO, NO₂, particulates)
- Structural integrity tracking
- Traffic safety optimization
- System performance management
Use case
Gotthard Base Tunnel - 15,000 sensors, 40% cost reduction, 60% safety improvement
Digital Twin Infrastructure - Virtual Planning, Realized Outcome
A Digital Twin is a dynamic, real-time digital replica of physical infrastructure that mirrors reality, updates continuously, enables risk-free simulation, and provides predictive insights. The system incorporates 3D modelling, real-time sensor data, simulation engines, and AI analytics solutions to enable advanced data visualization dashboards for decision-making.
Proven Impact
15-25% infrastructure development cost reduction
30% asset lifecycle extension
94% prediction accuracy
Eliminate catastrophic failure risks
Automated Traffic Enforcement - Intelligent Compliance Systems
Advanced camera, sensor, and analytics technologies for comprehensive traffic compliance monitoring. Lillyneir’s integrated platform unifies speed, red light, and weight enforcement into a single AI-powered ecosystem that learns, adapts, and evolves with traffic patterns.
intelligent mobility.
Speed Enforcement
High-precision detection using dual-spectrum cameras (visible and infrared) combined with LIDAR sensors for multi-lane monitoring.
Use-case:
Fixed and mobile camera systems automatically detect speeding violations with 99.7% plate recognition accuracy, processing violations in under 500ms with day/night operation capability.
Red Light Enforcement
Intersection violation detection with signal phase synchronization and high-resolution evidence capture.
Use case
Multi-approach monitoring systems automatically detect red light runners, generate comprehensive evidence packages, and reduce manual review by 75% through AI-powered automation.
Weight Enforcement
Revolutionary piezoelectric and strain gauge sensors embedded in the roadway measure vehicle weight at speeds up to 40 km/h without requiring stops.
Use case
Real-time detection of axle overloading, gross vehicle weight violations, and unbalanced loads protects infrastructure while maintaining traffic flow, achieving 85% compliance rate improvement.
Unified Intelligence Platform
Cloud connectivity for traffic data, weather, navigation, and emergency services.
Use case
Integrated system identifies high-risk vehicles and repeat offenders across all violation types, correlating patterns that siloed systems miss, reducing accidents by 35% at monitored locations.
Proven Impact
45% speed violation reduction within 6 months
62% red light violation reduction within 12 months
85% weight compliance rate improvement
99.7% automated plate recognition accuracy
35% fewer accidents at monitored locations
Financial Returns
18-24 months full ROI payback
99.99% system availability through self-healing network
Increased enforcement revenue with reduced operational costs
Infrastructure preservation reducing repair expenses
25% reduction in infrastructure damage from overweight vehicles
Operational Excellence
75% decrease in manual processing requirements
70% reduction in operational costs
< 500ms real-time violation processing
30-40% improvement in citation collection rates
25% reduction in infrastructure damage from overweight vehicles
Automated Traffic Enforcement - Intelligent Compliance Systems
Advanced camera, sensor, and analytics technologies for comprehensive traffic compliance monitoring. Lillyneir’s integrated platform unifies speed, red light, and weight enforcement into a single AI-powered ecosystem that learns, adapts, and evolves with traffic patterns.
intelligent mobility.
Speed Enforcement
High-precision detection using dual-spectrum cameras (visible and infrared) combined with LIDAR sensors for multi-lane monitoring.
Use-case:
Fixed and mobile camera systems automatically detect speeding violations with 99.7% plate recognition accuracy, processing violations in under 500ms with day/night operation capability.
Red Light Enforcement
Intersection violation detection with signal phase synchronization and high-resolution evidence capture.
Use case
Multi-approach monitoring systems automatically detect red light runners, generate comprehensive evidence packages, and reduce manual review by 75% through AI-powered automation.
Weight Enforcement
Revolutionary piezoelectric and strain gauge sensors embedded in the roadway measure vehicle weight at speeds up to 40 km/h without requiring stops.
Use case
Real-time detection of axle overloading, gross vehicle weight violations, and unbalanced loads protects infrastructure while maintaining traffic flow, achieving 85% compliance rate improvement.
Unified Intelligence Platform
Cloud connectivity for traffic data, weather, navigation, and emergency services.
Use case
Integrated system identifies high-risk vehicles and repeat offenders across all violation types, correlating patterns that siloed systems miss, reducing accidents by 35% at monitored locations.
Proven Impact
45% speed violation reduction within 6 months
62% red light violation reduction within 12 months
85% weight compliance rate improvement
99.7% automated plate recognition accuracy
35% fewer accidents at monitored locations
Financial Returns
18-24 months full ROI payback
99.99% system availability through self-healing network
Increased enforcement revenue with reduced operational costs
Infrastructure preservation reducing repair expenses
25% reduction in infrastructure damage from overweight vehicles
Operational Excellence
75% decrease in manual processing requirements
70% reduction in operational costs
< 500ms real-time violation processing
30-40% improvement in citation collection rates
25% reduction in infrastructure damage from overweight vehicles
Automated Traffic Enforcement - Intelligent Compliance Systems
Advanced camera, sensor, and analytics technologies for comprehensive traffic compliance monitoring. Lillyneir’s integrated platform unifies speed, red light, and weight enforcement into a single AI-powered ecosystem that learns, adapts, and evolves with traffic patterns.
intelligent mobility.
Speed Enforcement
High-precision detection using dual-spectrum cameras (visible and infrared) combined with LIDAR sensors for multi-lane monitoring.
Use-case:
Fixed and mobile camera systems automatically detect speeding violations with 99.7% plate recognition accuracy, processing violations in under 500ms with day/night operation capability.
Red Light Enforcement
Intersection violation detection with signal phase synchronization and high-resolution evidence capture.
Use case
Multi-approach monitoring systems automatically detect red light runners, generate comprehensive evidence packages, and reduce manual review by 75% through AI-powered automation.
Weight Enforcement
Revolutionary piezoelectric and strain gauge sensors embedded in the roadway measure vehicle weight at speeds up to 40 km/h without requiring stops.
Use case
Real-time detection of axle overloading, gross vehicle weight violations, and unbalanced loads protects infrastructure while maintaining traffic flow, achieving 85% compliance rate improvement.
Unified Intelligence Platform
Cloud connectivity for traffic data, weather, navigation, and emergency services.
Use case
Integrated system identifies high-risk vehicles and repeat offenders across all violation types, correlating patterns that siloed systems miss, reducing accidents by 35% at monitored locations.
Proven Impact
45% speed violation reduction within 6 months
62% red light violation reduction within 12 months
85% weight compliance rate improvement
99.7% automated plate recognition accuracy
35% fewer accidents at monitored locations
Financial Returns
18-24 months full ROI payback
99.99% system availability through self-healing network
Increased enforcement revenue with reduced operational costs
Infrastructure preservation reducing repair expenses
25% reduction in infrastructure damage from overweight vehicles
Operational Excellence
75% decrease in manual processing requirements
70% reduction in operational costs
< 500ms real-time violation processing
30-40% improvement in citation collection rates
25% reduction in infrastructure damage from overweight vehicles
Bridge Digital Twins
Real-time incident detection using AI video analytics with automated emergency response coordination
Traffic simulation and capacity planning
Use-case
Intelligent Environmental Control
Adaptive ventilation and air quality optimization using predictive algorithms that anticipate conditions based on traffic patterns.
Use case
AI-powered demand-based fan operation reduces energy consumption by 30-40% while maintaining optimal air quality. The system automatically adjusts lighting and ventilation during sandstorms or extreme weather, ensuring continuous safe operations.
Digital Twin Simulation
Virtual replica of physical tunnel enabling operators to test response scenarios without disrupting traffic.
Use case
Operators simulate fire scenarios, test smoke propagation models, and optimize evacuation procedures in the digital environment. Predictive fire modeling automatically selects optimal ventilation response, reducing evacuation time by 90%.
Unified Operations Platform
Single interface integrating all subsystems (ventilation, lighting, CCTV, fire detection, traffic management) with automated workflow orchestration.
Use case
During incidents, system automatically coordinates multiple subsystems according to safety procedures, adjusting exit signage, PA announcements, traffic signals, and emergency services dispatch—eliminating manual coordination delays and achieving 99.99% tunnel availability.
Predictive Maintenance Analytics
Advanced algorithms identify equipment degradation before failure occurs, optimizing maintenance scheduling.
Use case
Machine learning analyzes 50+ subsystem data streams to predict maintenance needs, schedule repairs during low-traffic periods, and prevent equipment failures—reducing maintenance costs by 50% while ensuring continuous operations.
Tunnel Management Systems – AI-Powered Underground Intelligence
A next-generation, future-ready integrated platform that transforms tunnel operations through AI, IoT sensors, and digital twin technology. Lillyneir designs and constructs unified operational intelligence that combines predictive safety management, intelligent environmental control, and automated incident response.
Safety Enhancement
60% reduction in incident response time through automated detection
90% faster evacuation times using dynamic guidance systems
Zero tolerance for catastrophic incidents through predictive risk management
45% reduction in secondary accidents through faster clearing
10 seconds average incident detection time
Operational Excellence
30-40% energy consumption reduction through intelligent ventilation
50% decrease in maintenance costs via predictive analytics
25% increase in tunnel throughput through optimized traffic management
80% reduction in operator workload for routine tasks
99.99% system availability achievement
Financial Returns
18-24 months ROI through energy savings and reduced incidents
USD 2-5 million annual savings for typical 3km tunnel
20% reduction in insurance premiums with demonstrated safety systems
USD 500K/hour revenue loss prevention from unplanned closures
35% reduction in carbon emissions through optimized operations
Future-Ready Platform
100% compliance with international safety standards
Integration-ready for autonomous vehicle infrastructure
Cybersecurity architecture for critical infrastructure protection
Multi-vendor subsystem integration capability (50+ types)
Bridge Digital Twins
Real-time incident detection using AI video analytics with automated emergency response coordination
Traffic simulation and capacity planning
Use-case
Intelligent Environmental Control
Adaptive ventilation and air quality optimization using predictive algorithms that anticipate conditions based on traffic patterns.
Use case
AI-powered demand-based fan operation reduces energy consumption by 30-40% while maintaining optimal air quality. The system automatically adjusts lighting and ventilation during sandstorms or extreme weather, ensuring continuous safe operations.
Digital Twin Simulation
Virtual replica of physical tunnel enabling operators to test response scenarios without disrupting traffic.
Use case
Operators simulate fire scenarios, test smoke propagation models, and optimize evacuation procedures in the digital environment. Predictive fire modeling automatically selects optimal ventilation response, reducing evacuation time by 90%.
Unified Operations Platform
Single interface integrating all subsystems (ventilation, lighting, CCTV, fire detection, traffic management) with automated workflow orchestration.
Use case
During incidents, system automatically coordinates multiple subsystems according to safety procedures, adjusting exit signage, PA announcements, traffic signals, and emergency services dispatch—eliminating manual coordination delays and achieving 99.99% tunnel availability.
Predictive Maintenance Analytics
Advanced algorithms identify equipment degradation before failure occurs, optimizing maintenance scheduling.
Use case
Machine learning analyzes 50+ subsystem data streams to predict maintenance needs, schedule repairs during low-traffic periods, and prevent equipment failures—reducing maintenance costs by 50% while ensuring continuous operations.
Tunnel Management Systems – AI-Powered Underground Intelligence
A next-generation, future-ready integrated platform that transforms tunnel operations through AI, IoT sensors, and digital twin technology. Lillyneir designs and constructs unified operational intelligence that combines predictive safety management, intelligent environmental control, and automated incident response.
Safety Enhancement
60% reduction in incident response time through automated detection
90% faster evacuation times using dynamic guidance systems
Zero tolerance for catastrophic incidents through predictive risk management
45% reduction in secondary accidents through faster clearing
10 seconds average incident detection time
Operational Excellence
30-40% energy consumption reduction through intelligent ventilation
50% decrease in maintenance costs via predictive analytics
25% increase in tunnel throughput through optimized traffic management
80% reduction in operator workload for routine tasks
99.99% system availability achievement
Financial Returns
18-24 months ROI through energy savings and reduced incidents
USD 2-5 million annual savings for typical 3km tunnel
20% reduction in insurance premiums with demonstrated safety systems
USD 500K/hour revenue loss prevention from unplanned closures
35% reduction in carbon emissions through optimized operations
Future-Ready Platform
100% compliance with international safety standards
Integration-ready for autonomous vehicle infrastructure
Cybersecurity architecture for critical infrastructure protection
Multi-vendor subsystem integration capability (50+ types)
Bridge Digital Twins
Real-time incident detection using AI video analytics with automated emergency response coordination
Traffic simulation and capacity planning
Use-case
Intelligent Environmental Control
Adaptive ventilation and air quality optimization using predictive algorithms that anticipate conditions based on traffic patterns.
Use case
AI-powered demand-based fan operation reduces energy consumption by 30-40% while maintaining optimal air quality. The system automatically adjusts lighting and ventilation during sandstorms or extreme weather, ensuring continuous safe operations.
Digital Twin Simulation
Virtual replica of physical tunnel enabling operators to test response scenarios without disrupting traffic.
Use case
Operators simulate fire scenarios, test smoke propagation models, and optimize evacuation procedures in the digital environment. Predictive fire modeling automatically selects optimal ventilation response, reducing evacuation time by 90%.
Unified Operations Platform
Single interface integrating all subsystems (ventilation, lighting, CCTV, fire detection, traffic management) with automated workflow orchestration.
Use case
During incidents, system automatically coordinates multiple subsystems according to safety procedures, adjusting exit signage, PA announcements, traffic signals, and emergency services dispatch—eliminating manual coordination delays and achieving 99.99% tunnel availability.
Predictive Maintenance Analytics
Advanced algorithms identify equipment degradation before failure occurs, optimizing maintenance scheduling.
Use case
Machine learning analyzes 50+ subsystem data streams to predict maintenance needs, schedule repairs during low-traffic periods, and prevent equipment failures—reducing maintenance costs by 50% while ensuring continuous operations.
Tunnel Management Systems – AI-Powered Underground Intelligence
A next-generation, future-ready integrated platform that transforms tunnel operations through AI, IoT sensors, and digital twin technology. Lillyneir designs and constructs unified operational intelligence that combines predictive safety management, intelligent environmental control, and automated incident response.
Safety Enhancement
60% reduction in incident response time through automated detection
90% faster evacuation times using dynamic guidance systems
Zero tolerance for catastrophic incidents through predictive risk management
45% reduction in secondary accidents through faster clearing
10 seconds average incident detection time
Operational Excellence
30-40% energy consumption reduction through intelligent ventilation
50% decrease in maintenance costs via predictive analytics
25% increase in tunnel throughput through optimized traffic management
80% reduction in operator workload for routine tasks
99.99% system availability achievement
Financial Returns
18-24 months ROI through energy savings and reduced incidents
USD 2-5 million annual savings for typical 3km tunnel
20% reduction in insurance premiums with demonstrated safety systems
USD 500K/hour revenue loss prevention from unplanned closures
35% reduction in carbon emissions through optimized operations
Future-Ready Platform
100% compliance with international safety standards
Integration-ready for autonomous vehicle infrastructure
Cybersecurity architecture for critical infrastructure protection
Multi-vendor subsystem integration capability (50+ types)
Get in touch with
Lillyneir Systems Engineering
Contact us for more information and custom solutions
Contact us for more information and custom solutions
Choosing Lillyneir
Your systems engineering partner for future-ready infrastructure solutions.
Success in next-generation transportation demands more than individual technologies—it
requires sophisticated systems integration that transforms isolated components into cohesive, intelligent networks.
Complete Systems Integration Mastery
Unlike component suppliers or traditional contractors, Lillyneir specializes in complex orchestration of multiple intelligent transportation technologies. We integrate V2X, AI traffic management, digital twins, and adaptive infrastructure into unified systems delivering exponential value.
Complete Systems Integration Mastery
Unlike component suppliers or traditional contractors, Lillyneir specializes in complex orchestration of multiple intelligent transportation technologies. We integrate V2X, AI traffic management, digital twins, and adaptive infrastructure into unified systems delivering exponential value.
Complete Systems Integration Mastery
Unlike component suppliers or traditional contractors, Lillyneir specializes in complex orchestration of multiple intelligent transportation technologies. We integrate V2X, AI traffic management, digital twins, and adaptive infrastructure into unified systems delivering exponential value.
End-to-End Project Ownership
Full accountability from initial needs assessment through long-term operations. Lillyneir’s multidisciplinary team spans electrical, IT, energy, transport, and civil engineering - ensuring seamless delivery without multi-vendor coordination challenges.
End-to-End Project Ownership
Full accountability from initial needs assessment through long-term operations. Lillyneir’s multidisciplinary team spans electrical, IT, energy, transport, and civil engineering - ensuring seamless delivery without multi-vendor coordination challenges.
End-to-End Project Ownership
Full accountability from initial needs assessment through long-term operations. Lillyneir’s multidisciplinary team spans electrical, IT, energy, transport, and civil engineering - ensuring seamless delivery without multi-vendor coordination challenges.
Future-Proof Technology Architecture
Solutions designed for evolution, not obsolescence. Our systems accommodate emerging technologies, regulatory changes, and expanding operational requirements, thus protecting infrastructure investments for decades.
Future-Proof Technology Architecture
Solutions designed for evolution, not obsolescence. Our systems accommodate emerging technologies, regulatory changes, and expanding operational requirements, thus protecting infrastructure investments for decades.
Future-Proof Technology Architecture
Solutions designed for evolution, not obsolescence. Our systems accommodate emerging technologies, regulatory changes, and expanding operational requirements, thus protecting infrastructure investments for decades.
Risk Mitigation Through Experience
Advanced degrees, professional certifications, and proven track records in complex ITS deployments. Lillyneir anticipates and resolves challenges before they impact timelines or budgets.
Risk Mitigation Through Experience
Advanced degrees, professional certifications, and proven track records in complex ITS deployments. Lillyneir anticipates and resolves challenges before they impact timelines or budgets.
Risk Mitigation Through Experience
Advanced degrees, professional certifications, and proven track records in complex ITS deployments. Lillyneir anticipates and resolves challenges before they impact timelines or budgets.
Proven ROI Delivery
Lillyneir’s systems engineering approach ensures technological sophistication that translates into measurable business value through reduced accident rates, optimized traffic flows, predictive maintenance savings and enhanced operational efficiency.
Proven ROI Delivery
Lillyneir’s systems engineering approach ensures technological sophistication that translates into measurable business value through reduced accident rates, optimized traffic flows, predictive maintenance savings and enhanced operational efficiency.
Proven ROI Delivery
Lillyneir’s systems engineering approach ensures technological sophistication that translates into measurable business value through reduced accident rates, optimized traffic flows, predictive maintenance savings and enhanced operational efficiency.
Global Standards, Regional Expertise
Lillyneir combines International best practices with a fundamental understanding of regional requirements, regulatory frameworks, and operational contexts. World-class solutions and proven European excellence are seamlessly integrated into local environments.
Global Standards, Regional Expertise
Lillyneir combines International best practices with a fundamental understanding of regional requirements, regulatory frameworks, and operational contexts. World-class solutions and proven European excellence are seamlessly integrated into local environments.
Global Standards, Regional Expertise
Lillyneir combines International best practices with a fundamental understanding of regional requirements, regulatory frameworks, and operational contexts. World-class solutions and proven European excellence are seamlessly integrated into local environments.
Long-Term Partnership Model
Lillyneir is much more than just a system integrator company. Lillyneir is your technology partner, providing ongoing planning, assessment, development, optimization, capability expansion, and strategic guidance as transportation technology evolves.
Long-Term Partnership Model
Lillyneir is much more than just a system integrator company. Lillyneir is your technology partner, providing ongoing planning, assessment, development, optimization, capability expansion, and strategic guidance as transportation technology evolves.
Long-Term Partnership Model
Lillyneir is much more than just a system integrator company. Lillyneir is your technology partner, providing ongoing planning, assessment, development, optimization, capability expansion, and strategic guidance as transportation technology evolves.
About Lillyneir
Pioneering the future of smart infrastructure through advanced systems engineering and cutting-edge technology integration. We partner with visionary leaders to build transportation infrastructure serving as the foundation for prosperous, sustainable, and connected societies.
€15M+ Annual Revenue
Financial robustness supporting significant infrastructure commitments
€15M+ Annual Revenue
Financial robustness supporting significant infrastructure commitments
€15M+ Annual Revenue
Financial robustness supporting significant infrastructure commitments
35+ Expert Engineers Multidisciplinary team
electrical, IT, energy, transport, civil engineering
35+ Expert Engineers Multidisciplinary team
electrical, IT, energy, transport, civil engineering
35+ Expert Engineers Multidisciplinary team
electrical, IT, energy, transport, civil engineering
€550K Revenue Per Employee
High-value engineering services demonstrating operational excellence
€550K Revenue Per Employee
High-value engineering services demonstrating operational excellence
€550K Revenue Per Employee
High-value engineering services demonstrating operational excellence
Founded 2011
13+ Years proven track record in complex ITS deployments
Founded 2011
13+ Years proven track record in complex ITS deployments
Founded 2011
13+ Years proven track record in complex ITS deployments
Our Commitment
Pioneering the future of smart infrastructure through advanced systems engineering and cutting-edge technology integration. We partner with visionary leaders to build transportation infrastructure serving as the foundation for prosperous, sustainable, and connected societies.
Partner
With Lillyneir
© 2025 Lillyneir System Engineering Plc. All rights reserved.
© 2025 Lillyneir System Engineering Plc. All rights reserved.
© 2025 Lillyneir System Engineering Plc. All rights reserved.