SEOREU

Smarter AI. Healthier World. Sustainable Tomorrow

  • Seoreu specializes in AI training data processing and advanced algorithm development.
    Our core expertise in high-quality data engineering and intelligent algorithms forms the foundation of our solutions in medical diagnostics and recycling classification. Through AI-driven platforms, we advance healthier lives and a more sustainable future.

MORE THAN NOW

Seoreu creates a better tomorrow than today.

People-Centered

We connect people with AI technology to develop solutions that help them live a better future.

Innovative

We develop platforms that go beyond the limits of existing products and services, pioneering new markets and leading meaningful differentiation.

Future-Oriented

Seoreu is building a circular economy platform and working to reduce carbon emissions to create a sustainable future.

The greatest challenge of modern society is the complexity
of problems that go beyond human capabilities.

In today’s world, massive amounts of data and increasingly complex issues
create limitations that are difficult for humans to overcome. Seoreu uses
artificial intelligence to break through these barriers.

Every day, 5.8 million tons of waste are manually sorted at
recycling facilities around the world.

Low citizen participation and improper waste separation make post-disposal processing even more inefficient. Current recycling facilities rely heavily on manual labor, creating a high workload and increasing the risk of accidents due to the nature of the working environment.
In addition, mixed disposal of materials such as plastic, cans, and PET increases processing costs and ultimately leads to landfilling or incineration, worsening environmental pollution.

The limits of diagnosing small intestine diseases — medical
gaps revealed during endoscopy

Traditional endoscopy has difficulty reaching the small intestine, creating limitations in diagnosis. After the examination, a long reading time is required, which significantly increases the fatigue of medical staff. In areas with limited medical resources, the lack of specialists increases the risk of delayed early diagnosis

Seoreu develops AI to solve social problems.

SEOREU AI

Seoreu provides high-precision image and video analysis through advanced vision AI technology developed using high-quality data collected across various environments. Our high-accuracy object detection and classification solutions have been verified through numerous domestic and international projects and are actively used in real-world applications.

SOLUTIONS

SEOREU develops AI solutions to address critical social challenges essential to human survival.

AWARDS

The various awards and certifications received by Seoreu demonstrate our technological excellence.
2024 Korea Productivity Society
Productivity CEO Award

HISTORY

Since its establishment in 2019, Seoreu has participated in numerous AI data-processing projects.
Based on this experience, we developed our own platform and have continued to earn recognition within the industry.
  • 2025

    Selected as a Top 8 Finalist at the 2025 Korea AI Champions Competition

    Selected for Government Funding : AGI for the Era of Human–AI Companionship

    Data Voucher Support Project: Awarded the Director General’s Award by the Korea Data Agency (as a Demand Company, Westec Global)

    Data Voucher Project: Data Collection and Processing for Advanced Waste-Plastic Sorting and High-Quality Recycled Block Production

    Participated in the AI Voucher Program (General Division): Development of an Integrated Solution Using Vision AI and High-Sensitivity
    Infrared Spectral Sensors for Component-Based Plastic Classification

    Certified as a Social Venture by the Ministry of SMEs and Startups (MSS)

  • 2024

    Commended by the City of Busan for Contributions to Industrial Development and Economic Growth

    Awarded the Director General’s Prize, Defense Acquisition Program Administration (DAPA) at the 2024 “Challenge! K-Startup” Competition

    Secured Pre-Series A Investment from Korea Technology Finance Corporation (KIBO)

    Recipient of the 31st Productivity CEO Award (2024) from the Korea Productivity Association

    Participated in the NIA Super-Large AI Ecosystem Expansion Project: Pediatric Abdominal Multimodal and Synthetic Data Development

    Data Voucher Support Project : Dataset Construction for the Development of an Image-Based Deep Learning Welding Bead Inspection System

    Data Voucher Support Project : Dataset Development for an Image-Based Deep Learning Welding Bead Inspection System

    Data Voucher Support Project: Dataset construction for an image-based deep learning inspection system

    Certified Software Business Operator (Government Registered)

    Completed the Merger of Seoreu Corp. and Captos Co., Ltd.

  • 2023

    Ranked in the Top 1% in the NeurIPS 2023 Machine Unlearning Challenge

    Two projects were listed in NIA’s “Top 50 Outstanding Dataset Development Cases” publication : Recycling data and Capsule endoscope data

    Selected as a TECH Valley Company

    Selected as an Official Institution for the Research Industry Development Project and R&D Service Voucher Program by the Korea R&D Industry Association

    Certified Women-Owned Enterprise (WBE)

    Selected as an Outstanding Case from NIA : Synthetic Data generation (Endoscopic Image)

    Data Voucher Support Project: IoT-Based Bluetooth Beacon Location Monitoring Service

    Data Voucher Support Project: Annotated Image Segmentation Data for Facial Bone Fractures in CT Images

    Data Voucher Support Project: Development of an Automated Vibration-Control System Using AI Image Recognition Technology

    Data Voucher Support Project: Annotation of CT Images for Facial Bone Fracture Segmentation

    Data Voucher Project: AI-Powered Urban Unmanned Clear-PET Bottle Collection Robot

    Data Voucher Project: ICT-Based Integrated Automated Recycling Sorting and Blockchain-Based Carbon-Reduction Reward Platform

    Research Industry Development Project – R&D Service Voucher Program: Development of an AI Vision-Based Automatic Vibration Control Motor System

  • 2022

    Excellence Award in the DX Challenge App Development Competition

    Commended by the Minister of Education for Contributions to University–Industry Collaboration

    Data Voucher Support Project: Awarded the Excellence Prize by the Ministry of Science and ICT (MSIT)

    Data Voucher Support Project: AI Learning Data for Capsule Endoscopy Images for Lesion Diagnosis

    Grand Prize at the 2022 “Welcome to TIPS in Busan” by the Ministry of SMEs and Startups

    Signed an MOU with Dong-Eui University for AI Talent Development and Job Creation

    Participated in the NIA AI Learning Data Construction Project: Dermatological Data

    Selected as an AI Voucher Provider by NIPA

    Signed an Industry–Academia Collaboration Agreement with Busan Software Meister High School

    Participated in the AI Voucher Program: AI Product Package Proposal for Interior Commerce Recommendation Platform (“Mood Board”)

    Participated in the IITP ICT-Based Innovative Product & Service Development Program (R&D) – AI Platform Service for DIY Home Repair and Interior Design

    Founded Captos Co., Ltd. (Year)

  • 2021

    Certified Corporate Research Institute

    Participated in the NIA AI Learning Data Construction Project: Molecular Histology and Nuclear Medicine Imaging Data

    Participated in the NIA AI Learning Data Construction Project: Capsule Endoscopy AI Data Development

    Data Voucher Support Project: Platform Enhancement for Interior Design and DIY Home Renovation Services

    Data Voucher Project: Deep-Learning Dataset for Recycling Waste Sorting Robots

    Selected as a Data Voucher Provider by KDATA

  • 2020

    Participated in the NIA AI Learning Data Construction Project: Kidney System AI Data

    Certified as a Venture Business by the Korean Government

  • 2019

    Established Seoreu Co., Ltd.

  • 2025

    Signed an MOU with Yura for Production Support of WIMPLE COUNT and Joint Overseas Market Expansion

    Selected for the 2025 Public Market Expansion Support Project: AIoT Smart Bin for the Busan Resource Circulation Cluster

    Listed in the UN ITU “AI for Good” Global Use-Case

    Launched WIMPLE COUNT in the Canadian Market

    Selected for the 2025 Eco Startup Support Project: Development and Overseas Validation of an AI-Based Ultra-Fast Recyclable Waste Counter

    Conducted a Pilot Project with Busan Metropolitan City and Busan Facilities Corporation

    Korea Water Resources Corporation (K-water) Testbed Project Confirmed and Adopted

    Signed an MOU with Stratio Korea, Seoreu, and Westech Global

    Signed a PoC Contract with Shinsegae Property; Collaboration Underway

  • 2024

    Signed an MOU with the SDX Foundation and Jeju Province to Achieve Carbon-Neutral Goals

    WIMPLE EDU Received KC Certification, Officially Launched, and Registered on Venture Nara

    Venture Nara Product Registration (WIMPLE BIN-M, WB-231130-P-01)

    Selected as an Approved Supplier for Venture Nara

    Wimple M Received KC Certification and Was Launched

    Participated in the K-Testbed Pilot Demonstration Project: Smart Village Living Lab Implementation

    Participated in the IITP SW Computing Core Technology R&D Program: Development of an AI-Based National and Regional Customized Recycling Education and Automated Waste Sorting System

  • 2023

    Best Paper Award at ISET 2023 by the Institute of Embedded Engineering of Korea

    Wimple P Received KC Certification and Was Launched

    Participated in the Busan Economic Promotion Agency Public Testbed Support Project (Busan Facilities Corporation Testbed)

    Busan IT Industry Promotion Agency (BIPA), AI Company Commercialization Support Project: Recyclables Sorting System Applying Deep Learning Recognition Technology

    Registered Trademarks: WIMPLE BIN (No. 40-1997419, 40-1997420)

    Registered Trademarks: WIMPLE BIN BI Logo (No. 40-1997421, 40-1997422)

    Launched "WEE" a multi-label multi-classification model for sorting complex household waste using artificial intelligence

  • 2022

    Participated in the B.Startup Open Innovation Challenge in Busan; PoC Conducted with Lotte Global Logistics

    2nd Place in the AI Online Competition (Image Category); Commercialization of AI Vision Indoor Waste Classifier

    Selected as a Best Practice Case in the NIA AI Learning Data Construction Project for Household Waste Data Utilization and Feedback

    Silver Award at the IITP ICT-Based Innovative Product & Service Idea BizProject Competition

    Participated in the IITP R&D Program: Development and Commercialization of a Deep-Learning Computer Vision Large-Capacity Recycling Robot

    Busan Center for Creative Economy & Innovation, B.Startup PIE Accelerating Program: Large-Scale Recycling Sorting Robot Using Deep Learning Computer Vision

  • 2021

    Busan IT Industry Promotion Agency (BIPA), ICT Startup Growth Support Project: AI-Based Automatic Household Waste Sorting System

    2nd Place in the AI Grand Challenge (Object Recognition Track)

    Participated in the IITP AI Core Technology R&D Program: Development of AI-Based Recyclable Product Recognition Algorithms

  • 2025

    Medical AI Data Utilization Platform Project: Development of a Generative AI–Based Diagnostic Prediction Algorithm for Pediatric and Adolescent Chronic Inflammatory Bowel Disease (Digital Screening Kit Project)

    2025 Connected Medical Industry Ecosystem Promotion Project: Education and Training for Overseas Medical Professionals

    Yangsan Pusan National University Hospital Bio Core Facility Project: Development of AI-Based Colonoscopy Lesion Detection and Severity Analysis Software for IBD Diagnosis and Follow-Up Monitoring

    AI Voucher Support Project (Global Division): Overseas Expansion of an AI Capsule Endoscopy Solution for Precise and Efficient Diagnosis of Gastrointestinal Diseases

    Selected as a Super-Gap Startup 1000+ Program: AI-Based Capsule Endoscopy Reading Assistance System

    Signed an MOU with Interna Clinic in Kazakhstan

    Exhibited at CES: Capsule Endoscopy Diagnostic Support System

  • 2024

    Delivered a Capsule Endoscopy Diagnostic Support System to Pusan National University Hospital

    Korean ARPA-H Project: Development and Validation of a Critical-Patient Prediction and Safe-Transport Support Platform Using Large Language Models and Clinical Decision Support Systems

    Participated in the Connected Medical Industry Ecosystem Promotion Project

    NIA Super-Large AI Ecosystem Expansion Project: Pediatric Abdominal Multimodal and Synthetic Data Construction

    AI Voucher Support Project (General Division): Small-Bowel Capsule Endoscopy Lesion Recognition and Localization Solution to Improve Prognosis for Pediatric and Adolescent Crohn’s Disease Patients

    Selected by the Ministry of SMEs and Startups for the Startup Growth Technology Development Project (Stepping Stone): Capsule Endoscopy Diagnostic Support and Severity Assessment System for Improving Quality of Life in Small-Bowel Disease Patients

    Selected by the Ministry of SMEs and Startups for the Super-Gap Startup 1000+ Project: AI-Based Capsule Endoscopy Reading Assistance System

  • 2023

    K-Health National Medical AI Service & Ecosystem Project (Daegu): Business Suitability Assessment Consulting for the Dr. J Capsule Endoscopy AI Reading Solution

    Medical Device Business Transition Support Project: Capsule Endoscopy Automatic Reading System

    Anti-Aging Industry Support Project: CNN-Based Capsule Endoscopy Lesion Detection and Decision-Support System

    Participation in the NIA AI Learning Data Construction Project: Selected as a Best Practice for Synthetic Endoscopic Image Data

    Signed a Pilot Introduction Contract for a Capsule Endoscopy Diagnostic Assistance System with Interna Clinic in Kazakhstan

  • 2022

    Intel Global 2022 IRTI Awards : AI Model Solution for Crohn’s Disease Diagnosis Using Endoscopic Imaging

    Participation in the NIA AI Learning Data Construction Project: Dermatological Data

    Korea Health Industry Development Institute (KHIDI), ICT-Based Medical System Overseas Expansion Support Project: Selected for a Pilot Project on a Capsule Endoscopy Diagnostic Assistance System in Kazakhstan

  • 2021

    Participation in the NIA AI Learning Data Construction Project: Molecular Histology and Nuclear Medicine Imaging Data

    Participation in the NIA AI Learning Data Construction Project: Capsule Endoscopy AI Data Construction

  • 2020

    Participation in the NIA AI Learning Data Construction Project: Renal System AI Data

NEWS

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