Transform Waste Management Through Intelligent Automation

Driving UN SDGs with AI-powered sorting and dynamic route optimization.

Supporting UN SDGs:
7
11
13

The Challenge

Global waste management is facing a critical crisis.

2+ Billion Tonnes of waste annually
9%

Only 9% Plastic Recycled

Landfill Overload

High CO2 Emissions

Inefficient Collection

AI-Powered Solution

A comprehensive ecosystem for smart cities.

Computer Vision Sorting

Automated sorting with 94% accuracy at speeds of 35-60 items/min.

Bin Fill-Level Monitoring

Real-time tracking of waste levels using IoT sensors (LoRaWAN, NB-IoT).

Dynamic Route Optimization

Smart logistics that reduce CO2 emissions by up to 57%.

Waste Analytics

Cloud platform for predictive insights and reporting.

How It Works

Smart Bins
(Sensing)

Cloud AI
(Processing)

Dashboard
(Insights)

Collection
(Optimization)

MRF
(AI Sorting)

Proven Impact

0

%

Cost Reduction

0

%

CO2 Reduction

0

%

Sorting Accuracy

0

%

Fuel Savings

Before
After

Operational Costs

Roadmap

Phase 1 (Pilot)

Tech validation, 500 sensors.

Phase 2 (Scale)

10 cities, SaaS launch.

Phase 3 (Launch)

25 cities, International expansion.

The Team

Abzhanov Temirlan

Orynbekov Gubaidulla

Aitbay Bekmuhammed

Nurgalyeva Shugyla