Best AI Infrastructure Companies in Seoul, South Korea
The 55 best AI Infrastructure companies in Seoul, South Korea in 2026, ranked by funding and momentum. Funding, investors, founders, valuation, tech stack and live signals. Top: Selectstar AI.
Our analysis of 50 AI Infrastructure companies
$46.6b in tracked funding; 98% of the stack-profiled cohort runs cloud-native; funding activity peaked in 2025.
Ranked: Best AI Infrastructure companies in Seoul
| # | Company | Last round | Disclosed funding | Stage | Employees | Founder | Tech stack | Patents & IP focus | Recent signals |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Acryl Developer of AI platforms facilitating generative AI model development and deployment | — | — | Public | 94 | — | Node.jsUbuntuGSAP+6 | 61 patents Patents concentrated in computing, sensing & instrumentation | — |
| 2 | ADAMs Provides platform with intelligent APIs and knowledge base | — | — | Unfunded | — | Lee Kyung-il CEO | — | 11 patents Automated contact lens handling/inspection and antibacterial/antifungal nanofiber paper technologies. | — |
| 3 | AI-NOMIS Platform offering AI application development software | — | — | Funding Raised | — | Siwon KIM Founder & CEO | — | 12 patents AI-driven speech separation, automated AI model creation, and dementia screening technologies | — |
| 4 | Atlas Labs Provider of speech recognition technology for developers | — | — | Funding Raised | 9 | Robin Lyu CEO | — | 3 patents Patents concentrated in computing, sensing & instrumentation | — |
| 5 | Brainsoft Developer of high-resolution spectrogram speech AI recognition technology | — | — | Unfunded | 7 | — | — | 22 patents Advanced audio signal processing: acoustic feedback cancellation, pitch extraction via DJ transform, and multi-device speech trans | — |
| 6 | DataHunt Provider of annotation solutions for training AI models | — | — | Deadpooled | — | Taeheon Kim CEO | — | — | — |
| 7 | DeepfakeIN Provider of AI platform generating deepfake content for image modification | — | — | Unfunded | — | Kesara Rathnayake Founder | — | — | — |
| 8 | DeepNatural Provider of training data for natural language models | — | — | Funding Raised | — | Anson Park Co-Founder & CEO | Framer SitesReactAmazon Web Services+9 | — | — |
Top 12 AI Infrastructure companies in Seoul
#1
Series B · Seoul, Seoul · founded 2019 · 14 employees$67Mraised▾
Providers of platform for AI training solutions. It allows users to collect images, voices, videos, and texts from different sources and label and validate the raw data. Its features are object segmentation, line segmentation, classification, transcription, editing, comparison, and other tools for labeling solutions.
- Dec 2025Series B$3.7M
- Aug 2025Series B$14.7M
- Aug 2022Series A$66.7M
- Jul 2019Seed$339K
#2
Series C · Seoul, Seoul · founded 2019 · 32 employees$15.3Mraised▾
Provider of integrated sensor fusion and deep learning SoC solutions. It provides sensor fusion and deep learning systems on a chip technology, which provides accelerated artificial intelligence solutions. Its NPU solutions are optimized for AI tasks.
- Apr 2026Series C$46.3M
- Jan 2024Series B$15.3M
- 2021Series A—
#3
Series A · Seoul, Seoul · founded 2023$17Mraised▾
Provider of AI-powered solutions for multiple industries. It offers solutions including financial services consulting, content writing, and battery technology. It is a SaaS platform that leverages text-based knowledge and user feedback to train AI and generate or analyze information.
- Dec 2025Series A$17M
#4
Series C · Seoul, Seoul · founded 2017 · 100 employees$6.9Mraised▾
Developer of AI accelerator hardware and software for large language models. The company provides AI inference solutions, including a software development kit and support resources. It offers products designed for efficient tensor contraction operations and high data center utilization. The company's products support various deployment scenarios and integration with open-source AI frameworks.
- Jul 2025Series C$125M
- Feb 2025Seed$1.5M
- Nov 2019Seed$6.9M
- Apr 2017Seed—
#5
Series A · Seoul, Seoul · founded 2023$37.7Mraised▾
Developer of AI semiconductors and software for generative AI solutions. The company provides hardware solutions, including AI-specialized cores and multi-chip scalability. It delivers AI semiconductor products optimized for AI inference, from edge devices to cloud datacenters. The company also develops software platforms supporting LLM inference and model frameworks, facilitating developer tools for LPU kernels and device runtime.
- Dec 2024Series A$37.7M
#6
Acquired · Seoul, Seoul · founded 2018 · 32 employees$3.5Mraised▾
Provider of Korean speech recognition engine. This technology is found only in smart speakers, It collects or processes simple data, to solve problems with APIs.
- Nov 2025Series C$3.5M
#7
Seed · Seoul, Seoul · founded 2024$1.4Mraised▾
Generative AI security solutions. The platform supports enterprises use artificial intelligence, including large-scale language models.
- Oct 2025Seed$1.4M
#8
Public · Seoul, Seoul · founded 2015 · 95 employees$63.1Mraised▾
Developer of AI optimization solutions for on-device and edge computing. The company provides tools for AI model compression and optimization across various industries. It offers solutions for applications such as surveillance, industrial safety, and intelligent transportation systems. The company focuses on enabling high-performance AI on diverse devices.
- Jun 2024Series C$21.7M
- Oct 2023Series B$20M
- Apr 2022Series B—
- Dec 2021Series B$14.7M
#9
Series B · Seoul, Seoul · founded 2020 · 58 employees$30Mraised▾
Developer of large-scale AI infrastructure. It enables users to optimize the life cycle of a hyper-scale AI. It provides AI infrastructure software designed for parallelization and cluster scalability. Its software stack includes AI infrastructure and application services like chips.
- Jul 2023Series B$22M
#10
Series A · Seoul, Seoul · founded 2015 · 21 employees$9.6Mraised▾
Developer of software providing researchers and engineers access to computing resources. The software facilitates access to computing resources at any time and from any location. It automates processes from research and development to sharing and deployment. The software aims to provide standardized, scalable computing platforms for research and engineering.
- Apr 2023Series A$7.9M
- Jun 2017Seed$1.7M
- 2015Angel—
#11
Seed · Seoul, Seoul · founded 2021 · 9 employees$50Kraised▾
Provider of AI and cloud services
- Aug 2025Grant (prize money)$50K
- Aug 2025Seed—
- Sep 2022Seed—
#12
Acquired · Seoul, Seoul · founded 2015 · 49 employees$23.5Mraised▾
Skelter Labs develops AI based language processing technologies for enterprises. Its offerings include a conversational AI engine that allows users to build AI chatbots and provides management tools for both sequential & non-sequential conversation flows. Also provides speech recognition & synthesis technology that can be used to recognize or synthesize voices from various speakers with features like emotion, tonality, context recognition & visual processing. Additionally, it offers AI-based hyper-personalization technology and a defect detection engine. It has won the Korea Economy Leader Awards 2018 Innovation and Korea’s Most Innovative Tech Company 2017.
- Aug 2020Series B$14.2M
- Nov 2018Series A—
- Feb 2018Series A$9.3M
- May 2017Seed—
Funding & investor landscape
Notable founders
What Seoul researches in ai accelerators
Seoul National University leads optimistic research (mean stance 0.76) on advanced memory, neural computing, and ferroelectric devices, with 19 recent breakthroughs dominating and minimal concern.
- Seoul National University15
- Seoul National University of Science and Technology6
- University of Seoul2
- Seoul Semiconductor1
Common questions
Rohit lives in the feed. He covers what's moving right now — the funding rounds, launches and shifts breaking across the trade press — and ties them back to where the sector is heading.