Hubble Database

Financial Big Data Platform

Business Database RPA System

Hubble Database is a financial big data platform that digitalizes the entire corporate ecosystem of Korea.

It systematically collects, verifies, standardizes, and stores diverse information on all registered legal entities nationwide using proprietary big data and RPA (Robotic Process Automation) technologies. This enables multi-dimensional and precise analysis of companies, providing a solid foundation for advanced corporate diagnostics and financial research.

By integrating fragmented and scattered corporate information into a single, unified database, Hubble dramatically reduces the time and effort required for data preprocessing and enables timely, accurate, and data-driven analysis for both business and financial decision-making.
COMPANIES IDENTIFIED
1.5
M+
INFORMATION TYPE
10
+
ALTERNATIVE DATA POINTS
300
+
Platform (KR)

Step 01. Identification

1526784
 Companies Identified
Leveraging the big data technology of the Hubble Database, we have successfully identified all domestic corporations and digitized the corporate ecosystem of South Korea.
Based on 
October, 2025
 (Excluding closed business)
Identified Entities
1526784
Corporate Entities
1558604
Data Coverage
97
%

Step 02. Data Collection

Over 300 Alternative Data Points across 10 Categories
Hubble gathers non-financial alternative data—such as organizational structure, certifications, websites, intellectual property, and media coverage—to provide a comprehensive understanding of each company’s business and performance.

These insights empower more accurate investment analysis, opportunity discovery, and risk prediction than traditional financial metrics alone.
Summary
Service information, Business code
Web
URL, Domain verification, Response speed
Organization
Monthly hires, Resignation, Salary, Organization size
Technology
IP (Intellectual property), R&D, Design
Certification
Certification, issued by government and private institutions
Industry
Technology type, Industry classification
Geolocation
Address change record, Land price, Proximity
Funding
Investment level, Amount, Key investor
Awards
Government citations, Major events / project
Media
News Press, SNS, Digital contents

Step 03. Processing

Our big data capabilities operate automated standardization and preprocessing processes on the collected raw data, storing it in the database in an optimal format for advanced analysis and AI training.
Validity Check
Data validation and consistency verificaiton according to internal regulations
Standard Formatting
Data transformation to align with common formats and standards
Data Integration
Integration of data from various sources within the same company