Welcome to AREYLight AI

We create awareness in lighting units

how to use their energy autonomously

in efficient way to reduce costs & expenses

See AI on Act

%60 Saving on Costs

AREYLight Reduces Energy Consumption using AI Ready
Conserve $12M out of $20M

Proactive Maintenance

Reduce costs by predicting problems in advance or in real time with awareness struct

Efficiency Smart City

5X Faster than Solar Panels
6X Faster than Wind farms in Return on Investment rate

Redefine Energytech Conserve electricity usage by AI

Connected Smart Light Conrol

AREYLight provides proactive lighting control technology needed by vehicles and pedestrians.

Lights will intelligently turning on when light is required

And We make learn street lights when and how to use their powers

In this way, Energy is consume only as needed.

Explore AREYLight Features

We make it quite easy

The transformation process of AREYTech Smart Cities

Feasibility
Requirement analysis
#1
We examine the needs and requirements.
Installation
Placing Hardwares
#2
Autonomous Control Units, especially Lighting systems are installation takes place
Communication Platform
Connected IoT Architecture
#3
The installed systems become ready for control by communicating between each other. So, Efficiency, Security and all the needs the city demands
Self Learning
Unmanned Smart System
#4
Numerous autonomous units start learning from the start to set up to maximize efficiency and better control results

AREYTech accelerated by Brinc.io Fall 2020

Reach Brinc.io Demo Day brochure

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We make learn lights when and how Use Their Powers

AREYLight Autonomy-Tech

AREYLight ensures that lighting units can be controlled remotely without the need for infrastructural change.

The solution makes cities autonomous while reducing expenses, returning on investments and efficiency. Smart units turn into Autonomous Lighting groups with neural network communication.

Our proprietary algorithms allow for affordable efficiency gains on a scale that could not be obtained before

Reinforcement Prediction Success

95%

Energy Efficiency Rate

80%