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Lomin (로민)

Category: AI in Healthcare

VLM-based Document AI platform that extracts and structures information from unstructured documents for enterprise automation Lomin (로민) was founded in 2018. The company is led by Kang Ji-hong (강지홍). Based in Seoul, South Korea. Team size: 43. Latest round: Series A. Key investors include Naver Cloud (네이버클라우드).

Founded
2018
Headquarters
Seoul, South Korea
Team size
43

Value proposition

Lomin provides a VLM (Vision-Language Model) based Active Learning Document AI platform (Textscope®) that extracts visual information from unstructured documents, converts it to structured data, and automates the full document processing lifecycle — from classification and parsing to extraction, verification, and system integration. Their key differentiation is combining high-precision Korean OCR (including handwriting) with document-specific Agentic RAG, enabling enterprises to process complex documents without manual template creation.

Products and solutions

Textscope® Studio (integrated Document AI platform): Textscope® Reader (high-performance OCR engine), Textscope® Doc Parser (layout & table structure extraction), Textscope® Cognition (form classification & data extraction), Textscope® Prism (document-specialized Agentic RAG), Textscope® Privacy Guard, Textscope® MLOps, Zixy (cloud-based SaaS document AI service, launched 2026)

Unique value

VLM-based Active Learning Document AI with best-in-class Korean handwriting OCR accuracy, document-specific Agentic RAG (Textscope® Prism), and end-to-end document processing automation on a single platform

Target customer

B2B / B2G — financial institutions (banks, insurance), public sector / government agencies, manufacturing, trade/logistics, and healthcare enterprises requiring document processing automation

Industries served

Financial Services (banking, insurance claims), Public Sector (patent office, postal service), Manufacturing, Trade/Logistics, Healthcare

Technology advantage

Proprietary VLM-based Active Learning Document AI platform; 6+ registered patents in AI OCR and document processing; NVIDIA Inception program member (access to latest GPU tech); Naver Cloud partnership for cloud-based AI distribution; Samsung SDS consortium participation for major banking AI projects

How they differentiate

1) VLM-based active learning — continuously improves model accuracy by feeding verification data back into model training; 2) Industry-best Korean handwriting OCR with 95%+ recognition rate (proven at Korea Post); 3) Full-stack document AI (OCR → parsing → classification → extraction → RAG → MLOps) in a single platform; 4) On-premise deployment capability for closed-network environments (critical for Korean financial & public sectors); 5) No-code template creation through Textscope® Studio Template Center

Main competitors

Upstage (Korean AI company with Document Parse OCR); Korea Deep Learning / 한국딥러닝 (DeepOCR); Olbigdet / 올빅뎃 (AI document understanding); Nexton / 넥톤 (business document processing)

Key partnerships

Naver Cloud (strategic investment + cloud distribution partnership); NVIDIA (Inception program member since July 2024); Samsung SDS (Woori Bank AI agent project); LIG System (MOU for document AI solutions); Kolon Benit (MOU for business cooperation); Shinhan Square Bridge (global program selection); NH Nonghyup Bank (Open Business Hub)

Notable customers

Kyobo Life Insurance (교보생명); Korean Intellectual Property Office (특허청); Korea Post / 우정사업본부; NH Nonghyup Bank (NH농협은행); Woori Bank (우리은행 — via Samsung SDS consortium); Lina Life Insurance (라이나생명)

Major milestones

2018-05: Company founded by Kang Ji-hong and Lim Bi (Seoul National University CV researchers); 2020: First patent registrations; 2022: Product launch with first financial institution customer within 2 months; 2024-07: NVIDIA Inception program member selection; 2024-10: Kyobo Life Insurance & KIPO customer wins; 2025-11: NH Nonghyup Bank Open Business Day Grand Innovation Award; 2026-02: Naver Cloud solution partnership; 2026-05: Naver Cloud strategic investment (Series A); 2026: Zixy cloud SaaS launch; Woori Bank AI agent project via Samsung SDS

Growth metrics

Team grew from ~20 (2022) to 43 (March 2026); annual revenue growth 200%+; ~70% of staff are developers; deployed at major financial and public institutions

Market positioning

Leading Korean Document AI platform — positioned as 'Korea's #1 Document AI platform' with strong foothold in financial and public sectors. Positioned between global IDP platforms and Korean competitors, with a focus on Korean-language document understanding and local regulatory/security requirements (on-premise deployment). Currently expanding from B2G/B2B on-prem to cloud-based SaaS (via Naver Cloud).

Geographic focus

South Korea (primary), expanding to USA (trade document processing) and Japan (OCR/general document processing)

Patents and IP

6+ registered patents in AI OCR, document image processing, and document layout analysis (per THE VC); active national R&D projects in AI OCR, LLM memo generation, and information input automation

About Kang Ji-hong (강지홍)

Samsung Electronics VD Division; Seoul National University (PhD candidate, Electrical & Information Engineering); Yonsei University (BS/MS, Electrical & Electronic Engineering)

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