Hero-01

A company leading food
technology
with fresh value

ST Food Co., Ltd. is an AX-driven company that enhances demand–supply
forecasting
to build a fresh distribution market for agricultural and marine products.

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we are

An AI-based agricultural and marine supply
chain forecasting and management company

ST Food leverages marine environment data as well as production and distribution data to predict
seafood supply and demand and manage supply stability.

our history

The growth journey of ST Food
built through technology

ST Food has expanded its business around data and technology to solve structural problems in seafood distribution.
Each decision and challenge has led to today’s supply chain technologies.

2025.05

2025.05

05

Acquisition of the MatTongHae brand

08

Establishment of ST Food Co., Ltd.

2025.07

2025.07

05

Consultation for promotion as a Konkuk University Glocal research-based company

2025.08

2025.08

01

Completion of angel investment funding

07

Technology scouting (intermediary institution)

2025.09

2025.09

01

Technology transfer agreement

09

Acquisition of venture business certification

Acquisition of the Gustongue brand

2025.11

2025.11

05

Registration as a research-based company
(No. 1236)

2025.12

2025.12

01

Selected for the 2025 Chungbuk Cheongju Innovation District Technology Commercialization Demonstration Project

Selected for the 2025 Chungbuk Tech-Up Startup Promotion Program

2026.01

2026.01

01

Selected for the 2025 Chungbuk Cheongju Innovation District Integrated Corporate Growth Support Program

seatrace

Seafood data-based market
linkage platform “SeaTrace”

We provide an intelligent seafood supply chain management service by integrating sales data,
traceability information, and demand forecast data into a single platform
connecting producers, distributors, and consumers.

Construction of a seafood sales data lake

Monitoring sea surface condition changes (temperature, wave height, salinity, red tide, etc.)

Monitoring monthly changes in fishery production

Monitoring import and export records

Monitoring monthly seafood sales price trends

Database

Data optimization (time series + GNN
/ deep learning / MLQps)

Target feature definition
and anomaly detection

Supply and demand forecasting

Supply instability grading

Prediction of supply and demand fluctuations
and design of optimal supply structures through
AI analysis

Development of AI-based supply chain forecasting and demand–supply matching algorithms

Content development based on seafood traceability systems

Big data construction and analysis
based on proprietary PB products

Solution Overview

Data-driven demand–supply
forecasting
research framework

By integrating marine environment, production, distribution, and consumption data
and applying AI analysis,
we systematically analyze uncertainties in agricultural and seafood supply chains.

Marine
environment

  • Sea surface temperature

  • Monthly climate data

  • Fishery production volume

  • Import and export volume

Big data center and
demand–supply estimation AI

  • Construction of
    demand–supply big data

  • Derivation of results
    based on AI analysis

Consumer transaction
environment

  • Sales volume

  • Inventory volume

  • Transportation volume

  • Supply volume

AI algorithm

Derivation of results based on AI analysis

Through AI-based analysis results, demand–supply forecasts and fluctuation trends can be intuitively identified.

▲ Demand–supply forecasting AI “SeaTrace” program

SeaTrace Analytics Insights

  • Demand forecast values by item
  • Supply forecast values by item
  • Sales volume by item
  • Projected trend graphs
  • Price fluctuation history
  • Supply–demand imbalance alerts
  • Market condition briefings
  • Item substitution strategies
  • Prediction accuracy

our brand

An integrated food technology brand connecting
the entire food distribution ecosystem

Brands with different roles collaborate to create a more stable food distribution environment.

Gustongue

A group purchasing
platform
connecting
consumers and suppliers

MatTongHae

Seafood and processed
food platform

SeaTrace

Preparing for launch (beta opening scheduled
for October 2026)

Review

Real-world experiences from on-site
operations and technology utilization

This section contains experiences and opinions from diverse perspectives
gained
through on-site operations and the use of technology.

  • Advance review of supply fluctuations has become possible.
  • Previously, we could only respond to changes in seafood supply and demand after they occurred, but data-driven predictive information now allows us to review price fluctuations and potential supply instability in advance. These insights are being used as reference indicators in the purchasing planning process.

a***** / Demand management manager

  • We were able to make decisions based on reference indicators rather than experience alone.
  • By considering environmental changes and market conditions together, the analysis results provided a solid basis for adjusting supply timing and volume. It was impressive to move away from decision-making methods that relied solely on past experience.

k**** / Supply and operations manager

  • We were able to make decisions with research expansion in mind.
  • The structure for integrating and analyzing data from various sources is clearly designed, making it highly applicable for demand–supply forecasting research and additional model validation. It has sufficient potential to serve as a foundation for future research advancement.

l***** / Data analysis manager