Autonomously Controlling Lights

Conserve electricity usage

efficiently throught the use of AI

Transforming Future Smart Cities

AREYTech founded to redefine Energytech and conserve electricity usage by ensuring that lighting units can be controlled remotely and efficiently through the use of artificial intelligence.

Our solution aims to make our cities autonomous by consolidating smart lighting technologies with other smart city applications to reduce expenses and maximize return on investment.

Smart Units created by AreyLight turn into Autonomous Lighting groups with neural network communication which assists in gaining efficiency values that surpass any available in the market.

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

High Efficiency with Unmanned Light Control Units

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 Learning Prediction Success

95%

Energy Efficiency Results

80%