▶ RA secures 7,000 asset DBs and 150 clients over the past year; utilized in over 100,000 on-site decision-making cases
▶ Adopted by asset managers, securities firms, banks, global investors, universities, and media for investment analysis, risk management, sales development, and research
▶ Future plans include AI-based automated valuation/price prediction and full-scale integration of residential DB... Aiming to become Asia's leading real estate data solution
RSQUARE (CEO: Lee Yong-gyun), Korea’s leading comprehensive commercial real estate service provider, held the 'RA (RSQUARE Analytics) Grand Open' event, revealing the performance of its commercial real estate data solution’s test operations and its AI-based expansion strategy.
According to RSQUARE on the 2nd, RA is a solution born to resolve the chronic information asymmetry in the domestic commercial real estate market. By positioning "live, primary on-site data" and "time-series analysis" as its core values, it has achieved remarkable results over the past year.
"The emergence of RA has opened a new era based on data infrastructure in the commercial real estate market, which previously relied on personal networks," said CEO Lee Yong-gyun. "Based on our accumulated insights, we are now moving to advance our services by integrating AI."
▶ 1-Year Achievement: 7,000 Asset DBs, 150 Clients, and Over 100,000 Utilizations
Marking its first anniversary, RA has achieved significant results in both quantitative and qualitative aspects. Currently, it provides data on over 7,000 commercial real estate assets nationwide, with an average of 10,000 cases per month—exceeding 100,000 in total—being utilized in actual transaction and valuation practices.
The pace of client expansion is even more notable. Within just eight months of its launch, RA was adopted by more than 50 institutions, including Singapore’s GIC, Germany’s DWS, and PAG, achieving an unusual level of early success. Given that major financial institutions and global investors with strict validation standards form the primary client base, these early references prove the sophistication and reliability of RA's data.
One year after its launch, the number of clients has grown to 150. This includes Woori Bank, the first among Korea’s four major commercial banks to adopt RA, as well as Samsung Securities, IGIS Asset Management, Koramco Asset Trust, and Hyundai Commercial, spanning across the financial, management, and investment sectors.
"The fact that large domestic and international investment institutions refer to RA data for investment evaluations and use it for critical decision-making is proof of its global-level consistency and completeness," stated RSQUARE. "Based on the trust that it is a 'solution used by top-tier financial and investment firms,' adoption by major companies across various fields is accelerating."
▶ Differentiation of RA from Global Platforms
Until the emergence of RA, the domestic commercial real estate data market lacked an optimized infrastructure. Global services like RCA (Real Capital Analytics) or CoStar mainly focus on transaction statistics or national-level data, which limited their ability to reflect the micro-characteristics of the Korean market. In contrast, RA fills this gap with precision data specialized for the domestic market.
"RA is the only tool that allows a comprehensive view of such detailed information for large building transactions," explained CEO Lee Yong-gyun. "This is why financial firms and institutional investors, who prioritize reliability and accuracy, are adopting it successively."
The RA solution provides real-time micro and macro comparative information, such as individual asset lease status, profitability indicators, long-term market trends, and regional benchmark data. Information that was previously only obtainable through personal networks or separate consulting services can now be easily accessed. Furthermore, it reflects on-site inspection data, including lease terms and building operation information that other existing solutions fail to provide.
▶ RA Applied to Diverse Purposes: From Investment/Management to Identifying Sales Opportunities
The accurate and deep data provided by RA serves as a practical insight tool in financial and real estate decision-making.
Banks and the financial sector review the lease status, latest transaction cases, and price fluctuations of collateral real estate during credit reviews or loan decisions. Securities analysts and investment managers use RA's lease history and market indicators to draft investment reports, research materials, and establish portfolio strategies. Asset managers verify whether the Cap Rate of an office building under review is appropriate compared to the market average using RA’s extensive transaction DB. During the investment deliberation process, they can use the rent levels and vacancy trends of peer assets provided by RA as benchmark indicators.
The adoption by a major commercial bank is an example where Wealth Management (WM), Private Banking (PB), and Corporate Finance divisions utilize RA collectively. This shows that RA data has become the decision-making foundation for the bank's overall strategy, from loan reviews to building sale strategies. Construction companies and real estate developers also actively use RA for project feasibility studies and site analysis, referring to local rent market prices and demand forecast data to objectively evaluate the profitability of development projects.
Furthermore, real estate and financial appraisal institutions use RA data to draft large-scale valuation reports or refine risk analysis. The Property Management (PM) industry refers to RA's market average rent trends when negotiating with tenants or establishing leasing strategies.
Beyond basic investment and management, RA is used for securing sales opportunities and university research. This includes development/construction, public sectors, and B2B service companies needing deal sourcing, as well as retail sectors like F&B that require site selection and store operation strategies.
▶ Strengthening AI-Based Future Predictions and Expanding Industrial Domains
Based on its vast accumulated data, RA plans to enhance its value by sequentially introducing next-generation features integrated with AI.
First, the company is preparing an AI service that automatically calculates the current value and future rent growth rates of individual properties by developing an Automated Valuation Model (AVM) and a Rent Prediction Model. This will allow users to more easily gauge the future profitability or appropriate purchase price of a target asset. Through this, RA will move beyond historical data analysis to provide predictive value that assists in future decision-making.
In addition, RA will advance its GIS-based site analysis function, allowing AI algorithms to provide investment suitability indicators by comprehensively analyzing site conditions and surrounding commercial district data. This feature will automatically capture patterns and variables that humans might miss when selecting sites or establishing development strategies, providing new insights for real estate development and investment.
Furthermore, RSQUARE will continue to strengthen its services by automating customized report functions and enhancing the English interface. AI will generate tailored reports based on investor needs, and a prestigious English service with specialized terminology and real-time translation will be provided for global investors.
Finally, RA plans to expand its data coverage beyond logistics and offices to various industrial domains that institutional investors are looking to expand into, such as residential and retail. Through this, RA aims to evolve into a comprehensive data solution for all types of real estate assets.
▶ Structural Issues in the Commercial Market and the Background of RA
The domestic commercial real estate market has long suffered from structural limitations such as information scarcity and opacity. It was difficult to systematically obtain even basic information like rents and vacancy rates required for large building investments, forcing investors to rely on personal networks or unofficial channels. Even when information was gathered, it was often fragmented and inconsistent. Consequently, investment decisions worth tens of millions of dollars were frequently made based on limited information.
The launch of RA is regarded as a milestone for data-driven digital innovation in the Korean commercial real estate industry. It has provided the foundation for attracting large-scale global investments, which can only occur based on reliable data. Information that used to depend on personal connections or individual consulting is now provided through immediate and consistent data. RSQUARE evaluated that "this is accelerating the transition from relationship-centered transactions to data-driven decision-making in the domestic market."
▶ Core Values of RA: On-site Primary Data, Time-series Structure, and Triple Verification
The strengths of RA lie in its data accuracy and depth of perspective.
Currently, RA has built a time-series DB of information on over 7,000 commercial real estate assets nationwide. Among these, a specialized research team of over 60 professionals visits and verifies approximately 1,600 major office buildings and 1,100 logistics centers every month to update the latest information on rents, tenants, and vacancies. This on-site data increases precision by reflecting details that are difficult to identify through official documents alone, such as actual rent levels, current vacancy status, temperature zones of logistics facilities, and truck docking availability.
RA operates a Triple Verification System that cross-analyzes "RSQUARE’s proprietary on-site survey information" with "public data such as vacancy rates and transaction cases," and re-confirms facts through interviews with building management companies and tenants when necessary. CEO Lee Yong-gyun described RA’s source information as "a systematic data management method that accumulates primary data obtained from the field through a rigorous verification process."
The data is accumulated in a time-series structure. On the RA platform, users can grasp the trends of actual transaction prices, rent fluctuations, vacancy rate changes, and tenant compositions by floor over a 10-year period at a glance. The company explained, "Users can comprehensively verify not only real-time market rents, vacancy rates, building specs, and lease expiration info, but also regional market comparisons and historical indicators. This enables a multi-dimensional analysis ranging from micro-details to macro-market flows."
Through this event, RSQUARE presented the achievements and vision of RA's first year of operation, emphasizing the strategic significance of data solutions in the domestic real estate market.
"RA is a 'Real & Live' commercial data analysis solution that has significantly lowered the information barrier in the domestic market," said CEO Lee Yong-gyun. "Through continuous improvement in data quality and practicality, we will establish RA as an unrivaled data solution similar to 'Bloomberg' in the real estate industry and eventually stand on par with global real estate analysis services such as CoStar and RCA."
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▶ RA secures 7,000 asset DBs and 150 clients over the past year; utilized in over 100,000 on-site decision-making cases
▶ Adopted by asset managers, securities firms, banks, global investors, universities, and media for investment analysis, risk management, sales development, and research
▶ Future plans include AI-based automated valuation/price prediction and full-scale integration of residential DB... Aiming to become Asia's leading real estate data solution
RSQUARE (CEO: Lee Yong-gyun), Korea’s leading comprehensive commercial real estate service provider, held the 'RA (RSQUARE Analytics) Grand Open' event, revealing the performance of its commercial real estate data solution’s test operations and its AI-based expansion strategy.
According to RSQUARE on the 2nd, RA is a solution born to resolve the chronic information asymmetry in the domestic commercial real estate market. By positioning "live, primary on-site data" and "time-series analysis" as its core values, it has achieved remarkable results over the past year.
"The emergence of RA has opened a new era based on data infrastructure in the commercial real estate market, which previously relied on personal networks," said CEO Lee Yong-gyun. "Based on our accumulated insights, we are now moving to advance our services by integrating AI."
▶ 1-Year Achievement: 7,000 Asset DBs, 150 Clients, and Over 100,000 Utilizations
Marking its first anniversary, RA has achieved significant results in both quantitative and qualitative aspects. Currently, it provides data on over 7,000 commercial real estate assets nationwide, with an average of 10,000 cases per month—exceeding 100,000 in total—being utilized in actual transaction and valuation practices.
The pace of client expansion is even more notable. Within just eight months of its launch, RA was adopted by more than 50 institutions, including Singapore’s GIC, Germany’s DWS, and PAG, achieving an unusual level of early success. Given that major financial institutions and global investors with strict validation standards form the primary client base, these early references prove the sophistication and reliability of RA's data.
One year after its launch, the number of clients has grown to 150. This includes Woori Bank, the first among Korea’s four major commercial banks to adopt RA, as well as Samsung Securities, IGIS Asset Management, Koramco Asset Trust, and Hyundai Commercial, spanning across the financial, management, and investment sectors.
"The fact that large domestic and international investment institutions refer to RA data for investment evaluations and use it for critical decision-making is proof of its global-level consistency and completeness," stated RSQUARE. "Based on the trust that it is a 'solution used by top-tier financial and investment firms,' adoption by major companies across various fields is accelerating."
▶ Differentiation of RA from Global Platforms
Until the emergence of RA, the domestic commercial real estate data market lacked an optimized infrastructure. Global services like RCA (Real Capital Analytics) or CoStar mainly focus on transaction statistics or national-level data, which limited their ability to reflect the micro-characteristics of the Korean market. In contrast, RA fills this gap with precision data specialized for the domestic market.
"RA is the only tool that allows a comprehensive view of such detailed information for large building transactions," explained CEO Lee Yong-gyun. "This is why financial firms and institutional investors, who prioritize reliability and accuracy, are adopting it successively."
The RA solution provides real-time micro and macro comparative information, such as individual asset lease status, profitability indicators, long-term market trends, and regional benchmark data. Information that was previously only obtainable through personal networks or separate consulting services can now be easily accessed. Furthermore, it reflects on-site inspection data, including lease terms and building operation information that other existing solutions fail to provide.
▶ RA Applied to Diverse Purposes: From Investment/Management to Identifying Sales Opportunities
The accurate and deep data provided by RA serves as a practical insight tool in financial and real estate decision-making.
Banks and the financial sector review the lease status, latest transaction cases, and price fluctuations of collateral real estate during credit reviews or loan decisions. Securities analysts and investment managers use RA's lease history and market indicators to draft investment reports, research materials, and establish portfolio strategies. Asset managers verify whether the Cap Rate of an office building under review is appropriate compared to the market average using RA’s extensive transaction DB. During the investment deliberation process, they can use the rent levels and vacancy trends of peer assets provided by RA as benchmark indicators.
The adoption by a major commercial bank is an example where Wealth Management (WM), Private Banking (PB), and Corporate Finance divisions utilize RA collectively. This shows that RA data has become the decision-making foundation for the bank's overall strategy, from loan reviews to building sale strategies. Construction companies and real estate developers also actively use RA for project feasibility studies and site analysis, referring to local rent market prices and demand forecast data to objectively evaluate the profitability of development projects.
Furthermore, real estate and financial appraisal institutions use RA data to draft large-scale valuation reports or refine risk analysis. The Property Management (PM) industry refers to RA's market average rent trends when negotiating with tenants or establishing leasing strategies.
Beyond basic investment and management, RA is used for securing sales opportunities and university research. This includes development/construction, public sectors, and B2B service companies needing deal sourcing, as well as retail sectors like F&B that require site selection and store operation strategies.
▶ Strengthening AI-Based Future Predictions and Expanding Industrial Domains
Based on its vast accumulated data, RA plans to enhance its value by sequentially introducing next-generation features integrated with AI.
First, the company is preparing an AI service that automatically calculates the current value and future rent growth rates of individual properties by developing an Automated Valuation Model (AVM) and a Rent Prediction Model. This will allow users to more easily gauge the future profitability or appropriate purchase price of a target asset. Through this, RA will move beyond historical data analysis to provide predictive value that assists in future decision-making.
In addition, RA will advance its GIS-based site analysis function, allowing AI algorithms to provide investment suitability indicators by comprehensively analyzing site conditions and surrounding commercial district data. This feature will automatically capture patterns and variables that humans might miss when selecting sites or establishing development strategies, providing new insights for real estate development and investment.
Furthermore, RSQUARE will continue to strengthen its services by automating customized report functions and enhancing the English interface. AI will generate tailored reports based on investor needs, and a prestigious English service with specialized terminology and real-time translation will be provided for global investors.
Finally, RA plans to expand its data coverage beyond logistics and offices to various industrial domains that institutional investors are looking to expand into, such as residential and retail. Through this, RA aims to evolve into a comprehensive data solution for all types of real estate assets.
▶ Structural Issues in the Commercial Market and the Background of RA
The domestic commercial real estate market has long suffered from structural limitations such as information scarcity and opacity. It was difficult to systematically obtain even basic information like rents and vacancy rates required for large building investments, forcing investors to rely on personal networks or unofficial channels. Even when information was gathered, it was often fragmented and inconsistent. Consequently, investment decisions worth tens of millions of dollars were frequently made based on limited information.
The launch of RA is regarded as a milestone for data-driven digital innovation in the Korean commercial real estate industry. It has provided the foundation for attracting large-scale global investments, which can only occur based on reliable data. Information that used to depend on personal connections or individual consulting is now provided through immediate and consistent data. RSQUARE evaluated that "this is accelerating the transition from relationship-centered transactions to data-driven decision-making in the domestic market."
▶ Core Values of RA: On-site Primary Data, Time-series Structure, and Triple Verification
The strengths of RA lie in its data accuracy and depth of perspective.
Currently, RA has built a time-series DB of information on over 7,000 commercial real estate assets nationwide. Among these, a specialized research team of over 60 professionals visits and verifies approximately 1,600 major office buildings and 1,100 logistics centers every month to update the latest information on rents, tenants, and vacancies. This on-site data increases precision by reflecting details that are difficult to identify through official documents alone, such as actual rent levels, current vacancy status, temperature zones of logistics facilities, and truck docking availability.
RA operates a Triple Verification System that cross-analyzes "RSQUARE’s proprietary on-site survey information" with "public data such as vacancy rates and transaction cases," and re-confirms facts through interviews with building management companies and tenants when necessary. CEO Lee Yong-gyun described RA’s source information as "a systematic data management method that accumulates primary data obtained from the field through a rigorous verification process."
The data is accumulated in a time-series structure. On the RA platform, users can grasp the trends of actual transaction prices, rent fluctuations, vacancy rate changes, and tenant compositions by floor over a 10-year period at a glance. The company explained, "Users can comprehensively verify not only real-time market rents, vacancy rates, building specs, and lease expiration info, but also regional market comparisons and historical indicators. This enables a multi-dimensional analysis ranging from micro-details to macro-market flows."
Through this event, RSQUARE presented the achievements and vision of RA's first year of operation, emphasizing the strategic significance of data solutions in the domestic real estate market.
"RA is a 'Real & Live' commercial data analysis solution that has significantly lowered the information barrier in the domestic market," said CEO Lee Yong-gyun. "Through continuous improvement in data quality and practicality, we will establish RA as an unrivaled data solution similar to 'Bloomberg' in the real estate industry and eventually stand on par with global real estate analysis services such as CoStar and RCA."