Data Knows Provides AI-Based Real Estate Analysis Solution to Korea Land Trust

Data Knows Co., Ltd., an AI real estate big data proptech company, announced on the 18th that it signed a contract with Korea Land Trust Co., Ltd. to supply 'AI MAS', an artificial intelligence (AI)-based real estate analysis solution.

This contract is the first case of AI MAS solution being introduced to a major domestic real estate trust company, and is drawing attention amid the trend of expanding the use of AI technology in traditional financial and trust work. Data Knows expects this supply to contribute to the expansion of solutions in similar industries in the future.

AI MAS is a real estate analysis solution developed by Data Knows, which has the function of diagnosing the possibility of success of a business site based on various data such as actual transaction price, demand population, and rate of return. Its main functions include ▲Business site demand analysis ▲Market price and transaction volume analysis ▲Appropriate sale price calculation ▲Subscription competition rate prediction, etc., and it provides data-based services that can be directly utilized in the practices of trust companies and developers.

The solution includes a 'checklist function' that allows users to select the information they need and create customized reports, as well as the ability to compare indicators at different points in time through data quantification. This allows for objective evaluation of the feasibility of a business site and efficient review of the timing of distribution, etc.

In addition, the 'Data Room' function provides a function that allows users to check various real estate data in an integrated manner and easily download and process them. Users can obtain the insights necessary for business promotion through analysis based on various indicators.

Data Knows Vice President Kim Jae-gu said, “AI MAS was developed to provide customized analysis to not only developers and construction companies, but also the unique business structures of trust companies,” adding, “We will continue to contribute to decision-making in the real estate business through reliable data-based technology.”


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