-Providing financial big data artificial intelligence (AI) analysis services
-Automate data collection, processing, and analysis processes
[Han Kyung Job&Joy=Lee Jin-ho Reporter] Antock is a fintech startup that provides financial big data artificial intelligence (AI) analysis services. CEO Park Jae-joon (38) established it in October 2015. CEO Park said, “Antock sells a big data system that automatically identifies all domestic corporate companies and collects more than 300 types of alternative data for each company,” and “through this, we support the discovery and analysis of companies in financial and public institutions.”
Antock's flagship product is the Hubble Database (Hubble Database) service. The Hubble database uses big data technology to automatically collect various financial and corporate data. It can automatically identify all over 800,000 domestic corporate companies and collect up to 300 or more detailed information for each company. The collected data is analyzed by Antock's evaluation algorithm solution. Through analysis, predictive information on corporate competitiveness, growth potential, and management risk is calculated. Results are delivered to users in the form of infographics so that they can be intuitively understood.
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Antock recently developed an AI-based automatic diagnosis service 'Antock MRI' by upgrading algorithms in the analysis sector. The Antock MRI solution is an automatic ML (Auto Machine Learning) technology that derives more than 2000 automated diagnosis results for each company with just one click. In addition to management diagnoses such as profitability, stability, efficiency, and productivity of a company, it also provides performance predictions such as sustainability, technological innovation, value appropriateness, and growth potential in an automated form. Through this, it is designed so that anyone can easily find superior companies and proactively respond to risks against poor companies.
Mr. Park emphasized that “the Antock MRI system is a product with three aspects of competitiveness.” “First, enterprise data required for AI learning is automatically supplied by linking with enterprise big data systems. The time and effort required to preprocess and process training data in a standardized form can be innovatively reduced. This allows users to focus on analytical model work by processing simple and repetitive data purification tasks on a system basis.” <중략>Antock is developing sales channels based on technical verification (PoC, Proof of Concept) for financial institutions. Mr. Park said, “By conducting an objective performance evaluation of the technology before sales, users can understand the expected effects of introducing the technology in quantitative form.” Antock carried out an automated project to discover innovative technology companies based on data, and signed an agreement with KB Kookmin Bank in July of this year through performance verification and goal achievement.
In addition, they participated in the '1st Lab' program run by IBK Corporate Bank to verify SME credit evaluation techniques using public data. Mr. Park said, “We have moved away from traditional credit evaluation methods using financial data and conducted an experiment on predicting corporate default rates using only qualitative non-financial data,” and “we have successfully completed technical verification by achieving major goals such as predicting insolvency based on artificial intelligence as well as developing credit ratings.” Antock plans to apply domestically developed technology to overseas markets. Mr. Park said, “We are testing the possibility of applying primary technology to small city-states such as Israel, Singapore, and Luxembourg,” and “if this performance is proven, it will be possible to expand into the global stage in earnest in the future.”
