AREYLight AI transforms ordinary streetlights and field infrastructure into connected, autonomous, and data-driven urban intelligence nodes. Reduce energy costs by up to 80% and unlock real-time operational visibility.
Zone 4 energy use is 23% above expected pattern. Recommending adaptive dimming after 02:00.
Pole group A12 shows abnormal current fluctuation. Maintenance ticket auto-generated.
Traditional outdoor infrastructure is expensive to operate, difficult to monitor, and disconnected from real-time city needs.
Traditional lighting operates on fixed schedules, wasting up to 40% of energy during low-traffic hours.
Manual inspections and delayed fault detection lead to prolonged outages and higher operational costs.
Municipalities lack a unified, real-time view of thousands of distributed field assets.
Infrastructure data is fragmented across legacy systems, preventing holistic AI-driven optimization.
Instead of replacing the entire infrastructure, AREYLight AI upgrades existing lighting units with intelligent controllers, sensors, gateways, and AI software. Each asset becomes a connected node that can sense, report, learn, and act.
A modular, hardware-independent software and intelligence platform designed to scale with your infrastructure.
Self-updating, ultra-secure firmware platform for lighting units, dimming, scheduling, and device commands.
Web-based command center for monitoring, controlling, and analyzing connected infrastructure assets.
Machine learning, anomaly detection, demand prediction, and LLM-based natural language decision support.
Optional edge computer vision for safety, density analysis, and incident detection with privacy-first local processing.
Multisensor fusion for motion, light, energy, temperature, humidity, air quality, and vibration.
Robust LoRaWAN, cellular, and future satellite-ready communication for resilient connectivity.
Integrate existing lighting units and field assets with smart controllers.
Gather real-time telemetry: energy, status, environment, and faults.
AI models process patterns, detect anomalies, and predict maintenance.
System autonomously adjusts lighting levels and isolates faults.
Operators receive dashboards and natural language recommendations.
AREYLight AI combines machine learning, computer vision, and reinforcement learning-inspired optimization to turn raw sensor data into actionable operational intelligence.
> Analyzing Zone 4 telemetry...
> Pattern detected: Energy use 23% above expected baseline.
> Recommendation: Apply adaptive dimming profile 'Night-Low' after 02:00. Estimated savings: 142 kWh/night.
> Pole group A12 shows abnormal current fluctuation (±15%).
> Failure probability in 7 days: 82%.
> Action: Maintenance ticket #4921 auto-generated and assigned.
Adaptable technology designed for diverse urban, industrial, and rural environments.
Street lighting, public spaces, parks, and city-wide asset monitoring.
Lighting, HVAC-related sensor data, occupancy awareness, and operational dashboards.
High mast lighting, harsh environment monitoring, and operational continuity.
Apron, access roads, parking areas, and support infrastructure monitoring.
Factories, logistics yards, warehouses, and outdoor infrastructure energy optimization.
Adaptive lighting, off-grid solar support, remote monitoring, and low maintenance.
Fast return potential through immediate energy savings and operational reduction.
*Estimates based on 70% average efficiency gain. Actual results vary by infrastructure type and location.
A premium, real-time SaaS dashboard providing total visibility, control, and AI-driven recommendations for your entire infrastructure network.
Our roadmap for creating a connected, intelligent global lighting infrastructure.
Expanding pilot programs and partner-led deployments across 500+ cities with localized AI models.
ActiveScaling the smart infrastructure platform across municipalities, campuses, and industrial zones.
PlannedAI-managed lighting networks that autonomously optimize energy use across entire districts.
VisionAdvanced research vision powering extraterrestrial and fully autonomous smart lighting systems.
VisionEnterprise-grade protection and compliance designed for government and municipal requirements.
AES-256 encryption for all data transmissions and storage.
Architecture designed to comply with strict global privacy regulations.
Edge processing ensures raw imagery never leaves the device, transmitting only anonymized metadata.
Sustainability metrics align with the EU Green Taxonomy and carbon reporting standards.
AREYLight AI helps cities and infrastructure operators move from reactive maintenance to intelligent, adaptive, and measurable infrastructure management.
WCAG 2.1 Accessible • Enterprise-Grade Security • Hardware Independent