Rsquare: “Commercial Real Estate Solution RA to Expand Rent Prediction and Residential Data”

One Year After RA Launch,
150 Corporate Clients Secured

Rsquare, a comprehensive commercial real estate services company, announced that it has secured 150 corporate clients just one year after launching its commercial real estate solution, RA (Rsquare Analytics). The company plans to expand its data coverage beyond office spaces to include commercial district analysis and residential real estate data.

Lee Yonggyun, CEO of Rsquare, is presenting the achievements of the RA launch at the Plaza Hotel in Seoul. Provided by Rsquare

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On December 2, Rsquare held a grand opening press conference for RA at the Plaza Hotel in Jung-gu, Seoul, where it revealed the results of its commercial real estate data solution tests and outlined its expansion strategy. RA is a platform that provides real-time information on individual asset leasing status, profitability indicators, market trends, and regional data.

RA offers data on more than 7,000 commercial real estate assets nationwide and provides over 10,000 detailed data entries per month on average. The RA solution delivers real-time updates on individual asset leasing status, profitability indicators, long-term market trends, and regional benchmark data.

CEO Lee Yonggyun stated, “With the advent of RA, we have ushered in a new era based on data infrastructure in a commercial real estate market that previously relied on personal networks. We will further advance our services by integrating AI, leveraging the insights we have accumulated.”

Founded in 2009, Rsquare is a comprehensive commercial real estate services company. It has accumulated over 300,000 commercial real estate data entries collected offline and now provides integrated services across all areas of commercial real estate, including data solutions, investment advisory, research, asset management, leasing brokerage, and interior design.

Until now, the commercial real estate market in Korea has been hampered by a lack of information and transparency. Even basic information such as rental rates and vacancy rates for major buildings was difficult to obtain systematically, forcing investors to rely on personal networks or unofficial information channels. Overseas commercial real estate platforms like RCA and CoStar also faced limitations in reflecting the unique characteristics of the domestic market.

Rsquare incorporates field survey-based data into RA, including leasing terms and building operation information. The company deploys a specialized research team of over 60 professionals to directly verify and update the latest information on rents, tenants, and vacancies at approximately 1,600 office buildings and more than 1,100 logistics centers. This includes information that is difficult to obtain from official documents, such as building registries, like vacancy status and temperature zones in logistics facilities.

RA cross-analyzes Rsquare’s proprietary field survey information with public data such as existing vacancy rates and transaction cases. It operates a triple verification system, reconfirming facts through interviews with building management companies or tenants.

Within one year of RA’s launch, the number of corporate and institutional users has grown to 150. The solution has been adopted by 50 institutions, including Singapore’s GIC, Germany’s DWS, and PAG, as well as financial and investment institutions such as Woori Bank, Samsung Securities, Aegis Asset Management, and Koramco REITs Management & Trust.

RA plans to sequentially introduce AI-powered features based on its vast accumulated data. Automated Valuation Model (AVM) capabilities and rent prediction models are being developed to automatically calculate the current value and future rent growth rate of individual properties. This will make it easier to determine appropriate purchase prices. Additionally, the company will further advance its location analysis features to provide investment suitability indicators based on site and commercial district data analysis.

Rsquare aims to evolve RA into a comprehensive data solution that covers the full spectrum of real estate assets. The company will expand its real estate data beyond logistics and office properties to include residential and retail sectors. The service will also be extended to cover retail and commercial district analysis, residential data encompassing multi-family and row houses, and auction data for analyzing risks and values of auctioned properties.

CEO Lee Yonggyun commented, “RA is a precision commercial real estate analysis solution that has dramatically lowered information barriers in the domestic market. Through continuous improvement in data quality and practicality, we aim to establish RA as the ‘Bloomberg’ of the real estate industry, securing an unrivaled position as a data solution provider.”

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