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Mobilint

Category: AI Chips / Semiconductors

A fabless startup developing high-performance Neural Processing Units (NPUs) and AI SoC solutions designed to bridge the gap between heavy AI workloads and power-constrained edge/on-premise environments. Mobilint was founded in 2019. The company is led by Dongjoo Shin. Based in Seoul, South Korea. Team size: 80-100. Total funding raised: $61.7M (KRW 100B+). Latest round: Series B ($15.3M, Jan 2024). Key investors include Intervest, KDB Bank, Korea Investment Partners, LB Investment, FuturePlay, Kyobo Securities, Union Investment Partners, Daesung Private Equity, L&S Venture Capital, Praxis Capital Partners, POSCO Investment, Company K Partners.

Founded
2019
Headquarters
Seoul, South Korea
Team size
80-100
Total funding
$61.7M (KRW 100B+)

Value proposition

Delivers a superior balance of high-computational performance (up to 80 TOPS) and extreme energy efficiency compared to traditional GPUs, supported by a developer-friendly SDK that ensures 99.9% model accuracy after optimization.

Products and solutions

ARIES: High-performance NPU chip (80 TOPS) for on-premise AI servers and industrial applications., MLA100: ARIES-based PCIe accelerator card for high-intensity AI inference tasks., MLA100 MXM: 80 TOPS NPU module in MXM form factor for embedded AI PCs (launched 2025)., MLA400: Next-gen PCIe accelerator card (new product listed on website)., MLX-A1: Independent AI Box (Mini PC) powered by ARIES NPU for standalone edge computing., REGULUS: Standalone, low-power AI SoC (System-on-Chip) integrating CPU and NPU for on-device applications., qb SDK: A proprietary full-stack software development kit and compiler suite for model compression and optimization.

Unique value

Mobilint is a founding member of MLCommons (MLPerf), consistently outperforming global giants in AI benchmark tests for power-to-performance ratios in edge environments.

Target customer

Manufacturers of smart factory equipment, robotics and drone developers, CCTV and surveillance system providers, smart city infrastructure firms, and industrial PC/embedded system manufacturers.

Industries served

Smart Manufacturing & Factory Automation, Robotics & Autonomous Drones, Public Safety & Intelligent Surveillance (CCTV), Smart City & Traffic Infrastructure, Healthcare (Medical Imaging), Industrial & Embedded Computing

Technology advantage

Proprietary NPU architecture optimized for multi-channel video stream processing and edge-LLM tasks; 'qb' SDK enables seamless deployment of over 300 commercial AI models with near-zero accuracy loss.

How they differentiate

Optimized balance of high compute performance (up to 80 TOPS) and extreme energy efficiency for edge environments, supported by the proprietary 'qb' SDK that ensures 99.9% model accuracy retention after optimization.

Main competitors

FuriosaAI, Rebellions, Sapeon, Hailo, Graphcore

Key partnerships

Samsung Foundry (14nm FinFET manufacturing partner), SemiFive (SoC design house collaboration), Amazon Web Services (AWS) (Collaboration on NPU integration with AWS IoT Greengrass), Siemens Healthineers (Hardware/Solution collaboration), Kolon Benit (AI Alliance partner for enterprise distribution), Hyvision System (Smart factory and industrial solution 실증/PoC partner), MLCommons (Global benchmark body founding member), POSCO DX (Strategic partnership for NPU integration into PosMaster industrial control system, April 2026), Lotte Innovate (MOU for NPU deployment in smart infrastructure and Physical AI, April 2026), INTOPS (MOU for joint AI manufacturing solutions development, March 2026), Nota AI (AI optimization technology supply and strategic partnership, May 2026)

Notable customers

Samsung Foundry (Manufacturing Partner), Amazon Web Services (AWS IoT Greengrass Collaboration), Kolon Benit (Distribution Partner), Siemens Healthineers, Hyvision System, POSCO DX (Strategic customer for NPU-powered smart factory systems), Lotte Innovate (Pilot deployment of NPU in industrial sites)

Major milestones

Founding member of MLCommons (MLPerf) in 2020, Successfully secured Series B funding of 20B KRW in Jan 2024, Won CES 2025 Innovation Award for 'REGULUS' (Standalone AI SoC), Commenced mass production of ARIES NPU and MLA100 accelerator in January 2025, Won CES 2026 Innovation Award for MLX-A1 Edge AI Box, Closed ₩70B Series C funding round in April 2026, Signed strategic partnership with POSCO DX for NPU-powered smart factories, Signed MOU with Lotte Innovate for smart infrastructure NPU deployment

Growth metrics

Cumulative private funding reached ~100B KRW (~$61.7M) including ₩70B Series C closed April 2026; mass production of ARIES NPU underway; REGULUS SoC PoC testing with mass production planned for Q2 2026.

Market positioning

Edge AI NPU challenger focusing on industrial IoT, robotics, and on-premise AI acceleration rather than large-scale cloud data centers.

Geographic focus

South Korea, North America, and Global Industrial Markets

Patents and IP

Holds a robust domestic and international patent portfolio focused on NPU architecture, energy-efficient ASIC design, and proprietary deep learning acceleration algorithms.

About Dongjoo Shin

Dongjoo Shin is a prominent expert in AI semiconductor design with over a decade of research experience. He holds a PhD from KAIST, where his work focused on high-performance Neural Processing Units (NPUs). He is credited with developing the world's first Edge ASIC chip for artificial intelligence and currently serves as a member of the Presidential Advisory Council on Science and Technology in South Korea.

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