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AIEEV

Category: AI Infrastructure

A distributed AI cloud platform that provides low-cost, high-efficiency AI inference infrastructure by utilizing idle GPU resources from edge nodes like internet cafes and individual PCs. AIEEV was founded in 2024. The company is led by Sejin Park. Based in Daegu, South Korea. Team size: 5-20. Total funding raised: $1.57M. Latest round: Pre-Series A ($450K, Jan 2026). Key investors include ["Bluepoint Partners","Laguna Investment","Row Partners","AI Angel Club","DGIST"].

Founded
2024
Headquarters
Daegu, South Korea
Team size
5-20
Total funding
$1.57M

Value proposition

Reduces AI inference costs by 40% to 90% (up to 10x) compared to centralized data centers by leveraging existing idle hardware and eliminating the need for expensive infrastructure builds.

Products and solutions

["Air Cloud: A 100% decentralized AI inference cloud platform","Distributed GPU Container Service: Automated containerized deployment for AI models","Advanced Auto-scaling Engine: Real-time resource allocation and scaling based on demand","AX Research Support Platform: Specialized infrastructure for high-difficulty AI transformation research"]

Unique value

Unlike traditional cloud providers that rely on centralized hyper-scale data centers, AIEEV connects thousands of heterogeneous edge GPUs into a single virtualized pool, drastically lowering energy consumption and cost.

Target customer

AI service developers, startups requiring large-scale inference, research institutions, and enterprises undergoing AI Transformation (AX).

Industries served

["Artificial Intelligence & Machine Learning","Cloud Computing","Manufacturing & Industrial AX","Robotics","Research & Academia"]

Technology advantage

Proprietary GPU virtualization and distributed resource management technology that ensures stable performance across decentralized nodes, combined with real-time thermal monitoring and safety protocols (IEC61508 standards).

How they differentiate

Proprietary GPU virtualization technology that utilizes idle GPU resources from internet cafes (PC bangs) to reduce AI inference costs by up to 90%. Unlike general DePIN projects, AIEEV focuses on enterprise-grade safety (IEC61508) and high-performance inference stabilization.

Main competitors

["VESSL AI","io.net","Common Computer (AI Network)"]

Key partnerships

["SK Telecom (Selected for AI Startup Accelerator 3rd Batch)","Samsung Electronics (C-Lab Outside program participant)","Ministry of Trade, Industry and Energy (Lead institution for AX research platform project)","Plug and Play Tech Center (Silicon Valley GMEP program partner)","Daegu Digital Innovation Promotion Agency (DIP)"]

Notable customers

["Samsung Electronics (C-Lab)","SK Telecom (AI Accelerator)","LG U+ (SHIFT Program)"]

Major milestones

["Founded in January 2024 by PhD Sejin Park (POSTECH).","Selected for the Samsung C-Lab Outside and SK Telecom AI Startup Accelerator programs in 2024.","Official commercial launch of 'Air Cloud' decentralized platform in September 2025.","Successfully completed the Silicon Valley Global Market Expansion Program (GMEP) with Plug and Play in 2025.","Secured Pre-Series A funding led by Bluepoint Partners in January 2026."]

Growth metrics

Officially launched 'Air Cloud' in September 2025; achieved cumulative funding of 2.1B KRW within two years of founding.

Market positioning

Distributed AI Infrastructure (DePIN) disruptor specializing in low-cost, high-efficiency AI inference.

Geographic focus

South Korea (Core infrastructure network), North America (Strategic expansion via Silicon Valley GMEP).

Patents and IP

10 patents filed related to distributed computing and GPU resource management (as of late 2025)

About Sejin Park

Sejin Park is a deep-tech entrepreneur and system software expert with over 15 years of industry experience. He holds a PhD in System Software from POSTECH (Pohang University of Science and Technology) and serves as an Adjunct Professor in the Department of Computer Engineering at Keimyung University. Before founding AIEEV, he specialized in high-performance computing and distributed systems.

Official website: