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OUR VISION

Delicious and Healthy Eating for FOOD AI

Leadership

CEO, Co-Founder

Sun Yang (양선흥)

CTO, Co-Founder

Seokhwan Kim (김석환)

SELECTED EXPERIENCES

Hyundai Motor Group | Robot Strategy Planning

Hanwha Aerospace  | Co-bot Product Manager
Samsung Techwin | Strategy Planning

Oracle Korea | Pre-sales


EDUCATION

University of Minnesota, Calson Businesss School |  MBA
Yonsei University | B.A. in Electrical and Electronic Engineering


SELECTED EXPERIENCES

Hanwha Aerospace |  SW Team Leader

Samsung Techwin | Senior Research Engineer
Microsoft  Research Asia | PhD Fellowship

 


EDUCATION

University of Tsukuba, Doctor of Computer Science (Ph.D.)
Sangmyung University , B.A./MS in Computer Science 

Nutritionist

Yujin Yang (양유진)

SELECTED EXPERIENCES 

DANOFIT | Diet Coach (Master Coach)
GNC | Health Functional Food Consultant


EDUCATION & CERTIFICATE

Certified Nutritionist

Suwon Women's University |  B.A IN Food and Nutritio


MisiQ  

Through a GUI optimized for taste evaluation collection continuous accurate food taste big data (Explicit Feedback) It is collected and applied to the AI recommendation system.

FoodOn  

Customers who purchase fewer new products or products
solves 'Cold-Start' problems that are difficult to apply AI.
For detailed product attribute classification, we build our own 'Food Ontology' to provide fast and accurate tagging automation and personalization recommendation services. 

FoodQ  

FoodQ is a food personalization recommendation service that combines big data on users' food taste information secured by MisiQ and food meta-information of FoodOn. FoodQ is a personalized recommendation engine that provides a personalized recommendation list based on customer behavior data in the shopping mall in real time. It provides ultra-personalized recommendations by utilizing user-based and content-based collaborative filtering AI recommendations. 

IP (지적재산권)

Patent Registration
  • Methods, Devices and Computer Program Products for Recommending Foods That Suit the User's Taste (10-2415373) 
  • Method and System for Adaptively Combining a Plurality of Foods according to Order Data (10-2250892)
Patent Pending
  • Personalized Recommendation Method and Device Based on User Food Taste Analysis Using Ontology and Machine Learning (10-2022-0162660) 
  • Method and Apparatus for Measuring Food Similarity for Personalized Food Recommendation Using Tree (10-2022-0092418) 
  • Method and Apparatus for Generating a Questionnaire List for Building User Food Profile (10-2023-0057837) 
  • Method and System for Determining Production Time of Salad Lunch Box according to Order Data Corresponding to User's Salad Order (10-2021-0057176)

Copyright
  • MisiQ | Food Taste Analysis SW Program (164711-0093879) 
  • FoodQ Coach | SW Program for Creating Individual Customized Meals (164711-0093879)
  • FoodQ | Personalized Product Recommendation Software Program Based on Food Taste Analysis (164711-0093879) 
  • Doof | Ontology-Based Food DB Management SW Program (164711-0093879)

PARTNERSHIP (제휴협력)

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ACHIEVEMENT (주요성과)

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FOOD TASTE ANALYTICS

TAGGING AUTOMATION

PERSONALIZED RECOMMENDATION

CUSTOMIZED MEAL-PLANNING

© 2022 Farmkit Inc. Corporation 'Farmkot'
CEO : Yang Seon-heung | #609, 312, Hannuri-daero, Sejong-si | 044-868-2194 | help@farmkit.kr | Company Registration Number : 328 -81- 01590| Mail-order business report: 2020-Sejong Areum-0425