Design the Future of Logistics in Real-Time.

AI-based reinforcement learning technology optimizes the entire process of logistics planning and decision-making for logistics companies and shippers in real-time. We minimize transportation costs and maximize efficiency, supporting our customers focus solely on business growth. Solution elevates the logistics ecosystem in the Southeast Asian market to the next level and sets a new standard of logistics system.

Mission

Optimizing Efficiency

Optimizing Efficiency

We go beyond the limits of logistics optimization with AI-based reinforcement learning. Our advanced technology analyzes and dynamically reflects complex on-site constraints such as vehicle load capacity and hub operating hours in real-time, building an innovative solution that delivers next-generation operational efficiency.

Customer-focused Experience

Customer-focused Experience

Our goal is to create sustainable value for our customers' businesses through technology. Our user-centric smart dispatch system provides customers with a seamless transportation experience while minimizing transportation costs and maximizing operational efficiency, creating an environment where they can focus solely on growth.

Sustainability

Sustainability

We are solving inefficiencies in the Southeast Asian logistics market and setting new standards. Through our sustainable next-generation dispatch technology, we aim to reduce unnecessary empty-mile runs and carbon emissions, transforming the global logistics ecosystem into a smarter, more efficient one.

Key Features

Real-Time Status Updates

The system simultaneously manages the driver’s current location, cargo information, and cargo status, with all data updated in real time. This enables flexible and immediate response to newly incoming orders.

Real-Time Status Updates

Real-World Constraints

The system accounts for key constraints such as on-time arrival, mixed cargo compatibility, and cargo specifications in real time, ensuring the most practical and optimal routing decisions.

Real-World Constraints

Data-Driven Simulation

By generating diverse scenarios based on real cargo data, the model is trained to enhance generalization performance. This enables fast and accurate responses even under complex real-world constraints.

Data-Driven Simulation

Flexible Customization

Policies can be easily adapted to the specific needs of different industries and business goals, providing optimized solutions across a wide range of environments.

Flexible Customization

How It Works

1

Model Architecture

By endlessly learning in a proprietary simulation environment,
it autonomously evolves the optimal dispatching policy

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2

Solution Process

By considering all variables, including real-time traffic, driver location,
and vehicle capacity, it derives the best solution

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Sustainability at the Core

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Awards & Patents

Awards

2021
  1. 03Geneva International Invention Convention Gold Medal
  2. 04Edison Awards 2021 Tracking/Logistics Bronze AwardI-Contest
  3. 11Awarded by Korean Ministry of Trade, Industry and Energy
2022
  1. 04iF DESIGN AWARD 2022 WINNER
  2. 07Selected as 2022 B.Corp Best For The World
  3. 08Won Red Dot design award
  4. 09Maritime Startup Contest Winner (Awarded by Korean Minister of Oceans and Fisheries)
  5. 11The 59th Trade Day Commendation (Minister of Trade, Industry and Energy)
2023
  1. 062023 Land, Infrastructure and Transport Technology Fair Winner (Awarded by Ministry of Land, Infrastructure and Transport)
  2. 06Selected as the Best SME company (Commendation from Korean Minister of SMEs and Startup)
  3. 1047th National Productivity Award (Commendation from Minister of Trade, Industry and Energy)
  4. 11Industrial Digital Transformation Contribution Award (Commendation from Minister of Trade, Industry and Energy)
  5. 11Won Good Job Awards Grand Winner (Commendation from Korean Ministry of SMEs and Startups)
  6. 11Convergence Development of the Knowledge Service Industry Contribution (Commendation from Minister of Trade, Industry and Energy)
  7. 11Technology Commercialization Contribution (Commendation from Minister of Trade, Industry and Energy)
  8. 12Selected as Technology Protection Leading Company
  9. 12Sustainable Business Contribution (Commendation from Korean Minister of SMEs and Startup) 
2024
  1. 01Designated as a KICT Family Company
  2. 02Designated as a G-PASS Company
  3. 02iF DESIGN AWARD 2024 WINNER
  4. 06Excellence in Employee Invention Compensation
  5. 06Certified as a Hi-Seoul Company
  6. 07Excellence in Weather Management Certification
  7. 11Korea Design Grand Prize Winner

Patents

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  • •THE METHOD AND APPRATUS FOR TRANSPORTATION SERVICE BASED ON UNLOADING SITE CONDITION
  • •PLATFORM SYSTEM AND METHOD FOR FREIGHT BROKERAGE USING TRANSPORTAION HISTORY MATCHING BASED ON BLOCKCHAIN AND COMPUTER PROGRAM FOR THE SAME
  • •THE METHOD AND APPARTUS FOR PROVIDING A USER INTERFACE FOR SELECTING A FREIGHT TRANSPORTATION ROUTE BASED ON THE POSSIBILITY OF MIXED CARGO
  • •APPARATUS AND METHOD FOR PROVIDING SECURITY IN A PORTABLE TERMINAL
  • •METHOD AND SYSTEM FOR DISTINGUISHING MULTIPLE OBJECTS USING EXTERNAL VISION DEVICE
  • •METHOD AND APPARTUS FOR SUPPORTING DELIVERY DRIVER'S SAFETY DRVING BASED ON ARTIFICAIL INTELLIGENCE IN METAVERSE ENVIRONMENT
  • •METHOD AND APPARTUS FOR PROVIDING LOGISTIC STATUS IN METAVERSE ENVIRONMENT
  • •METHOD AND APPARTUS FOR REINFORCEMENT LEARNING-BASED CARGO TRANSPORTATION
  • •METHOD AND APPARTUS FOR FREIGHT TRUCK FAILURE DIAGNOSIS THROUGH REINFORCEMENT LEARNING-BASED IMAGE ANALYSIS
  • •METHOD AND APPARTUS FOR PROVIDING CLOUD-BASED CARGO DISPATCH SERVICE REFLECTING DRIVER'S DRIVING TYPE
  • •METHOD AND APPARTUS FOR OPTIMAL DISPATH BY FILTERING AI SHIPPER'S REQUEST BASED ON CLOUD
  • •METHOD AND APPARATUS FOR MANAGING LOGISTICS PLATFORM IN RESPONSE TO CLIMATE CHANGE
  • •METHOD AND APPARATUS FOR PREDICTING MOBILITY DEMAND BASED ON WEATHER INFORMATION USING DEEP LEARNING ALGORITHM