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AIVeNautics Co., Ltd.

AI & Connectivity Toward Innovative Marine Navigation

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Specialization

Maritime Autonomous Navigation & Connectivity

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Keywords

Maritime AI
Autonomous Navigation

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Category

AI Mobility

Maritime Autonomous Systems

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Technology Introduction

Technology / Item Overview

  • AIVeNautics (AI + Vessel + Nautics) pioneers AI-driven maritime navigation technologies integrating autonomous perception, connectivity, and e-navigation platforms.

  • Its core innovation, the Maritime Autonomous Navigation Assistance System (MANAS), enhances vessel safety by providing real-time environmental perception and collision avoidance guidance through radar and multi-sensor fusion.

  • Developed through Team AIVN, a collaboration between AIVN Korea and DMC Denmark, led by international maritime technology experts from EfficienSea2, DMA, and MCP Consortium.

  • The company’s mission: to deliver safer and greener navigation through connected intelligence.

Owned Technology / Applied Products

(1) Owned Technology

  • CON.AR™ (Connectivity & Attention by Radar):

    • AI-enhanced radar and vision sensor fusion technology for situational awareness.

    • Early-fusion architecture integrating radar, RGB/Thermal cameras, LiDAR, AIS, and motion sensors for superior object detection and recognition.

    • Significantly improves collision avoidance, reducing close encounters by 67% and accidents by 65%.

  • Ch@tSea™ (Chatting at Sea):

    • The world’s first global maritime messaging service built on the Maritime Connectivity Platform (MCP).

    • Provides real-time vessel-to-vessel and ship-to-shore communication for risk notifications, route sharing, and hazard alerts.

    • Operating PoC in Australia, Canada, Denmark, Japan, the Netherlands, Singapore, South Korea, Sweden, and the USA.

  • iMARINS™ (Intelligent Maritime Informatics Service):

    • AI-based e-navigation service integrating Maritime Safety Information (MSI), Maritime Protected Areas (MPA), and Automatic Route Planning.

    • Supports SOLAS Chapter V Regulation 31 compliance for danger message transmission.


(2) Applied Products

  • CON.AR™ Radar AI Module – enhancing vessel perception and accident prevention.

  • Ch@tSea™ Platform (App & Server) – providing communication and hazard-sharing across vessels and authorities.

  • iMARINS™ Service Suite – AI-powered e-navigation for safety, efficiency, and reduced carbon footprint.

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Development Needs & Value Proposition

(1) Problem Definition / Development Background

  • Over 5,000 vessel collisions and allisions occur annually in the U.S. alone — primarily due to limited visibility, poor perception, and communication failures.

  • Conventional radar systems lack integration and contextual awareness, leading to delayed decision-making and inefficient navigation.

(2) Value Proposition / Solution

  • AIVeNautics addresses maritime safety with an AI perception layer that enables human-level situational awareness.

  • Early radar-data fusion enhances visibility in fog, rain, or night conditions.

  • Ch@tSea™ communication protocol allows vessels to automatically exchange risk data, reducing accidents and response time.

  • Enables greener navigation, cutting fuel consumption by 10–15% and CO₂ emissions by 10% via optimized routing.

Competitiveness

  • Technical Expertise: Founded by global maritime connectivity experts — leaders in MCP Consortium, ISO/IEC JTC 1/SC41, and IALA DTEC WG1.

  • Patent & Standardization Leadership: Contributing to international maritime IoT & Digital Twin standards.

  • Performance Results:

    • Collision reduction: 65%

    • Fuel efficiency improvement: 15%

    • Carbon emission reduction: 10%

  • Dual Application: Suitable for commercial vessels, autonomous boats, and defense-grade unmanned surface vehicles (USVs).

Company Performance & Business Status

Key References

  • Projects & Partnerships:

    • Participated in EfficienSea2, SMART-Navigation Project (2019–2020), and MCP Consortium.

    • Collaborating with IMO e-Navigation standardization groups and RTCM Standard 13900.0.

    • Developing next-generation AI e-Navigation testbeds with European maritime partners.

  • Commercialization Roadmap:

    • 2025: Global pilot for Ch@tSea™ Server

    • 2026: Integration with global navigation system manufacturers (ECS/ECDIS vendors).

    • 2027: Full-scale rollout of iMARINS™ AI Navigation Services.

Overseas Experience

(1) PoC Progress

  • Conducted international testing of Ch@tSea™ servers across 9 partner nations.

  • Validated MMS interoperability and global network latency stability under real-sea conditions.

  • Working with national maritime authorities for adoption into official e-Navigation infrastructure.
     

(2) Global Expansion

  • Short-Term (2025): Open Ch@tSea™ Server to partners and early adopters.

  • Short-Term (2025): Open Ch@tSea™ Server to partners and early adopters.

  • Long-Term (Post-2028): Scale AI-integrated e-Navigation ecosystems and license to global shipbuilders.

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