QUAZAR

Company profile

Quazar is a software development and distribution company currently offering a mobile authenticity verification application for high-end products, particularly premium luxury products.

Our team is composed of professional researchers specializing in artificial intelligence, software, and databases.

Based on a 100M database, we strive to develop precise and detailed AI-based authenticity verification software.

Our mission is to transform the authenticity verification market, breaking through spatial and temporal barriers.

Karl Kim CEO

Karl Kim / CEO

B.A. in public Administration

(Korea Univ.)

Head of sales for 8 years

(E-Land)

Head of Purchasing for 2 years

(E-Land)

Team Consists of 90% R&D Researchers

QUAZAR Team

Market Challenges

MARKET PROBLEM

Spatial and temporal constrains

Current authentication verification technology has a long process of up to 3 days to distinguish counterfeit and genuine products. Physical authentication also requires sending the product to a verification site.

Limitations in market coverage

The authentication market heavily relies on human expertise. This implies that it is impossible to cover a wide range of product categories in one facility, as each authenticator is specialized in a specific product category or brand.

Limits of current technology

At present, AI-based authentication is not capable of detecting A-grade counterfeit products. Lack of sufficient data can also lead to significant decline of accuracy.

Microscope Authentication Luxury Bags Display

Technology Solution

Tech Offer

This AI-based solution utilizes MOE (Mixture of Experts) technology, making it accurate to diagnose the product.

After capturing a few photos of product and inserting product's name,

Our AI model, trained with 4 million datasets, conduct a rapid and accurate analysis to verify its authenticity.

Key feature include accessibility, accelerated process, high accuracy and wide range applicability, offering practical solution against the growing counterfeit market.

Simplified accessibility

Compared with traditional methods, Users can use our technology by installing mobile application.

Our application is capable of operating with product name and a small amount of product photos.

Its time-efficiency and accessibility solves the problem of spatial, and temporal constrains of current market.

Technology Solution

Tech Offer

Reliable results

AI-model with wide-range datasets. Our AI-based technology shows 94.4% of accuracy of authentication verification.

A-grade counterfeit items are also within detection range, providing enhanced functionality compared to existing AI models.

Accelerated process

Relative to competitors, our model supports unauthorized goods distinguishment in real time just in 2~3ms, reducing time requirement in the authenticity verification market.

Broad applicability

Our AI-based solution provides open-API. Available to adapt in Online - Used Goods Transaction Market to secure trusted transaction.

It is also applicable in various market where in need of authentication, such as cross-border customs market, instruments, art object, footwear, and even industrial products.

Interpretable AI workflow for authenticity scoring

VLM in
Counterfeit Detection

Brand Logo
Vision Transformer Architecture Vision Breakdown

AI Anomaly Detection Captures
Counterfeit Signals

Anomaly Detection Image 1 Anomaly Detection Image 2 Phone Visualization

AI COUNTERFEIT ANALYSIS

COMPUTER VISION-BASED PRECISION

Our AI system automatically detects and analyzes critical regions such as logos, hardware, stitching, and patterns.

By cross-validating these features against reference data, it determines authenticity with high precision.

The AI model detects microscopic anomalies between genuine and counterfeit products, enabling reliable detection and continuous adaptation.

Group Visualization

Contact Point

Mode of Collaboration

Luxury Goods Distributors

End Users

Online Retailers for Second-Hand Goods

Affiliated Marketing

R&I Partners

PoC Project

Watch Our Introduction Video