Revolutionizing Waste Management with AI

Where Environmental Science Meets Technology

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Our Impact

300+

Kilograms of Waste Collected

5K USD

Business School Promotion

#3

Waste Supplier for Local Recycling

Achievements & Recognition

$5,000 USD Award

"BASQAR" Business School

Winner of the Innovation Challenge 2024. Recognized for sustainable business model and environmental impact.

December 2024

National Startup Winner

Kazakhstan Innovation Competition

First place in the national environmental technology category.

February 2025

#3 Waste Supplier

Local Recycling Industry

Became the third-largest waste supplier for local recycling facilities.

June 2025

Detailed Achievements

Competitions & Awards

  • Nazarbayev University Innovation Challenge

    $3,000 USD prize + mentorship program

  • National Environmental Tech Competition

    First place, recognized by Ministry of Environment

  • Student Innovation Award

    Best environmental solution by a student team

Partnerships & Recognition

  • Astana Motors Partnership

    Corporate waste management contract

  • Karachaganak Petroleum

    Industrial waste processing agreement

  • Local Government Recognition

    Official endorsement for city-wide implementation

Media Coverage

Local News

Featured in regional environmental publications

TV Coverage

Interview on national environmental program

Podcast Feature

Guest appearance on startup innovation podcast

Our Journey

20 December 2024

MVP

Released the first working MVP to validate core AI sorting and data flow end-to-end.

Initial product milestone
21–28 December 2024

First experimental launch at school

Deployed the MVP in a school environment to gather usage data, validate assumptions, and iterate quickly.

Pilot run and feedback
28 January 2025

Model 2

Released the second model with improved accuracy and reliability based on the first pilot’s insights.

Hardware/AI upgrade
26 March 2025

The Factory

Prepared the factory setup for assembly, quality control and scalable production workflows.

Production readiness
10–17 April 2025

Second experimental launch (Uralsk)

Conducted a city pilot in Uralsk to validate performance in a broader, real-world environment.

City-scale pilot
Planned

Model 3

Next-generation model targeting higher accuracy, durability and easier maintenance.

Upcoming milestone

Meet Our Team

Adil Yergen

Adil Yergen

Founder & CEO

Environmental Science & AI Engineering

Led the vision and technical development of Tazalyq AI from concept to implementation.

Makhambet Otepkali

Makhambet Otepkali

Technical Lead

AI/ML Engineering

Developed the core AI algorithms and machine learning models for waste classification.

Nursultan Zeinulyn

Nursultan Zeinulyn

Business Development

Strategic Partnerships

Managed partnerships with corporations and government organizations.

Our Advisors & Mentors

Woojin Lee

Environmental Science Professor, Nazarbayev University

Provided guidance on environmental impact assessment and sustainability strategies.

Medet Beisekenov

STEM teacher, Nazarbayev Intellectual School

Mentored us through the business development process and competition preparation.

Our Technology

How Our AI Works

1. Image Capture

High-resolution cameras capture waste items in real-time

2. AI Analysis

Deep learning models classify waste into recyclable categories

3. Smart Sorting

Automated systems sort waste into appropriate bins

Technical Stack

Python & TensorFlow - Core AI development
Computer Vision - Image recognition models
IoT Sensors - Real-time data collection
Cloud Infrastructure - Scalable processing

Key Innovations

Multi-Modal Classification

Combines visual and sensor data for 95%+ accuracy

Real-Time Processing

Sub-second classification for continuous operation

Adaptive Learning

AI improves accuracy with each sorting cycle

Technology Demo

Interactive demo of our AI waste sorting system

[Video demo would be embedded here]

Community Impact

Before Tazalyq AI

[Before photo would be here]

Mixed waste collection with low recycling rates

  • Low recycling rates (15%)
  • Manual sorting required
  • High contamination rates

After Tazalyq AI

[After photo would be here]

Automated sorting with high recycling efficiency

  • 85% recycling rate improvement
  • Fully automated process
  • 95% sorting accuracy

What Our Partners Say

Beknur Nesipbayev

Astana Motors

"Tazalyq AI has revolutionized our waste management process. We've seen a 300% increase in recycling efficiency."

Murat Baimenov

Local Government

"This technology is exactly what our city needed. The environmental impact is remarkable."

Environmental Impact

300+

kg waste collected

85%

recycling rate

50%

carbon reduction

1000+

trees equivalent saved

My Leadership Journey

What Inspired Me

Growing up in Kazakhstan, I witnessed firsthand the environmental challenges our country faces. The sight of improperly sorted waste and low recycling rates motivated me to find a solution that combines my passion for environmental science with cutting-edge AI technology.

I believe that technology should serve humanity and our planet. Tazalyq AI represents my commitment to creating sustainable solutions that benefit both the environment and the economy.

Challenges I've Overcome

Technical Development

Learning AI/ML from scratch while balancing academic responsibilities

Business Development

Building partnerships with skeptical corporations and government entities

Team Building

Assembling and leading a diverse team with different skill sets

Funding & Resources

Securing initial funding and managing limited resources effectively

Skills I've Developed

Technical Skills

  • AI/ML Development
  • Computer Vision
  • IoT Integration
  • Cloud Architecture

Leadership Skills

  • Team Management
  • Strategic Planning
  • Public Speaking
  • Negotiation

Our Future Vision

Scaling Plans

1

National Expansion

Deploy systems across all major cities in Kazakhstan

2

International Markets

Expand to Central Asian countries and beyond

3

Advanced AI Models

Develop next-generation waste classification systems

Environmental Goals

Reduce waste in landfills by 80%
Achieve 95% recycling rate nationwide
Create 1000+ green jobs
Offset 10,000 tons of CO2 annually

5-Year Roadmap

2024

National deployment

2025

Regional expansion

2026

International launch

2027

Advanced AI integration

2028

Global leadership

Companies and Organizations Trust Us

Nazarbayev University
Oral Tazaz Service
Astana Motors
Karachaganak Petroleum

Trusted by leading organizations in Kazakhstan and beyond

Get in Touch

Interested in revolutionizing waste management in your region?

Contact Us