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Allbigdat

Category: Natural Language Processing

An AI-powered multimodal document understanding and Intelligent Document Processing (IDP) solution that automatically recognizes document structures and transforms unstructured data into structured digital assets. Allbigdat was founded in 2018. The company is led by Lee Dong-jae. Based in Seongnam, South Korea. Team size: 11-50. Total funding raised: Undisclosed (Estimated $1.0M - $2.0M). Latest round: Pre-Series A. Key investors include New Paradigm Investment, Newborn Ventures, Ministry of SMEs and Startups (TIPS).

Founded
2018
Headquarters
Seongnam, South Korea
Team size
11-50
Total funding
Undisclosed (Estimated $1.0M - $2.0M)

Value proposition

Maximizes data utility by converting non-searchable document images/PDFs into structured data with high structural accuracy, specifically solving memory and capacity limitations found in traditional IDP systems.

Products and solutions

DATALUX (Flagship Multimodal AI IDP Solution), DATALUX LLM (Extended version integrated with LLM for RAG and search), Label-it (AI data collaboration and labeling platform), Personalized Recommendation Engine (Big data-based consumer analysis solution)

Unique value

Utilizes 'Visual-Textual Multimodal AI' to understand the spatial layout of documents (paragraphs, tables, attributes) rather than just performing simple character recognition (OCR).

Target customer

Public institutions, financial services, large enterprises requiring digital transformation (DX), and organizations building RAG (Retrieval-Augmented Generation) systems.

Industries served

Public Administration, Financial Services, Logistics & Supply Chain, Enterprise Software / DX

Technology advantage

Proprietary technology for 'paragraph attribute identification' and 'visual information-based recognition' allows for higher data extraction precision in complex layouts; provides an E2E (End-to-End) pipeline from data labeling to model deployment.

How they differentiate

Utilizes 'Visual-Textual Multimodal AI' to understand document spatial layouts (paragraphs, tables, attributes) rather than just character recognition (OCR), allowing for structured database conversion of unstructured files.

Main competitors

Upstage (Document AI), VoyagerX (vFlat), Synap Soft, Hancom Textin

Key partnerships

Microsoft (Majung Program partner for Azure/AI scaling), South Korean Public Procurement Service (PPS), New Paradigm Investment & Newborn Ventures (Investment partners), Ministry of SMEs and Startups (Deep Tech TIPS Program)

Notable customers

South Korean Public Procurement Service (PPS), Kyung Hee University, Enterprise DX clients in Finance and Logistics

Major milestones

2021: Won the Minister of Science and ICT Award in 'Challenge! K-Startup', 2023: Selected for the Deep Tech TIPS program, 2024: DATALUX designated as an 'Innovative Product' by the South Korean Public Procurement Service (PPS), 2024: Selected for the Microsoft-MSIT 'Majung' program for global AI scaling, 2024: Participated in Japan's Innovation Leaders Summit (ILS) to signal international expansion

Growth metrics

Selected for Microsoft-MSIT 'Majung' program and Deep Tech TIPS; designated as a Public Procurement Service (PPS) Innovative Product.

Market positioning

Specialized Intelligent Document Processing (IDP) provider for enterprise digital transformation (DX)

Geographic focus

South Korea (Main), Japan (Targeted expansion)

Patents and IP

Holds 5 registered patents and 7 applications in Korea and abroad, including Patent No. 10-2538108 (Paragraph Attribute Identification).

About Lee Dong-jae

Lee Dong-jae co-founded Allbigdat in 2018 while studying at Kyung Hee University. He has a background in Business Administration and previously led the development of 'OFCOS', a big data-based leisure recommendation application. Under his leadership, Allbigdat has developed 'DATALUX', a multimodal AI intelligent document processing (IDP) solution that was designated as an innovative product by the South Korean Public Procurement Service. He has received several prestigious awards, including the Minister of Science and ICT Award in the 'Challenge! K-Startup' competition and has successfully led the company through the TIPS program and Microsoft-MSIT 'Majung' program.

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