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Mobilio

Category: Robotics / Embodied AI

An AI-powered robotics and digital twin platform specializing in autonomous patrolling, industrial safety monitoring, and predictive maintenance for high-risk environments. Mobilio was founded in 2016. The company is led by Jin-Sik Lee. Based in Seongnam, South Korea. Team size: 11-50. Total funding raised: Undisclosed. Latest round: Pre-Series A / Series A (Private/Undisclosed). Key investors include SK Ecoplant (Strategic), Gyeonggi Creative Economy & Innovation Center (GCCEI), Korea Water Resources Corporation (K-water).

Founded
2016
Headquarters
Seongnam, South Korea
Team size
11-50
Total funding
Undisclosed

Value proposition

Minimizes human exposure to hazardous environments and prevents industrial accidents through real-time 3D digital twin monitoring and AI-driven autonomous inspection robots.

Products and solutions

Navigate X: Autonomous robot-based Digital Twin platform for real-time 3D visualization., MobiRobo Series: A fleet of autonomous robots including quadruped (robot dogs) and wheeled models for patrolling., Lynx M20: Advanced quadruped robot for research, education, and industrial inspection., Predictive Maintenance (PdM) Solution: IoT vibration sensors and AI analysis for early equipment failure detection., Unmanned Industrial Vehicles: AI-based autonomous forklift and heavy equipment safety solutions.

Unique value

The seamless integration of autonomous robotics with a 'Physical AI' Digital Twin platform (Navigate X), allowing for 360-degree real-time remote monitoring of hazardous sites that are difficult for humans to access.

Target customer

Industrial facility operators, power plants, chemical factories, water treatment facilities, and construction companies.

Industries served

Water Resource Management, Energy & Power Plants, Construction & Smart Cities, Smart Manufacturing, Logistics & Warehousing

Technology advantage

Proprietary SLAM-based navigation and AI algorithms optimized for unstructured industrial environments; recognized globally by winning CES Innovation Awards for three consecutive years (2024–2026).

How they differentiate

Seamless integration of 'Physical AI' with a real-time 3D Digital Twin platform (Navigate X). Unlike competitors focused solely on robot hardware or simple video feeds, Mobilio provides a full-stack solution for 360-degree remote monitoring and equipment failure prediction (PdM) in unstructured industrial environments.

Main competitors

Dogu Kongan (도구공간), Rainbow Robotics (레인보우로보틱스), HL Mando (HL만도)

Key partnerships

K-water (Korea Water Resources Corporation): Implementation of smart water treatment plant solutions., SK Ecoplant: Collaboration on industrial safety and construction site monitoring., KETI (Korea Electronics Technology Institute): Joint projects on autonomous infrastructure and mobility services., Strategic global partners in Germany (telecom) and China (automotive manufacturing).

Notable customers

K-water (Smart water treatment plants), SK Ecoplant (Construction site safety), Korea Electronics Technology Institute (KETI)

Major milestones

CES 2025 Innovation Award Winner (MobiRobo), CES 2026 Innovation Award Honoree (Navigate X Digital Twin), Selected for SK Ecoplant Tech Open Collaboration (2023), Successful global demo of Lite3 quadruped robots at Berlin TXL smart city site (2025), Winner of CES 2024 Innovation Award (PdM solution)

Growth metrics

Winner of three consecutive CES Innovation Awards (2024-2026); targeting $200M revenue by 2029.

Market positioning

Innovative provider of high-risk environment patrol robots and industrial safety AI solutions.

Geographic focus

South Korea (Main), Germany (Partnership in Telecom), China (Automotive manufacturing partners), North America (via CES engagements).

Patents and IP

Holds multiple proprietary technologies in AI-based autonomous navigation, sensor fusion for predictive maintenance, and 3D digital twin environment reconstruction.

About Jin-Sik Lee

Jin-Sik Lee is a veteran engineer and entrepreneur with over 25 years of experience in industrial manufacturing and technology. Before founding Mobilio, he specialized in autonomous vehicle technologies, particularly in the development of camera-based lane recognition and unmanned driving systems. His career has been defined by the mission of 'Protecting People through Technology,' transitioning from IoT-based predictive maintenance (PdM) to advanced AI robotics and Digital Twin platforms. He holds a Master's degree in Industrial Manufacturing from the Graduate School of Engineering at Korea University.

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