IESHIL Visualizes Estimated Rents to Show 'How Much Can It Be Rented For?' Amidst Soaring Tokyo Metropolitan Area Apartment Prices
Real estate information website 'IESHIL', operated by Livesense Inc., has released a new feature that uses proprietary machine learning to calculate and display 'estimated rents for each apartment unit' in the Tokyo metropolitan area. This aims to support objective decision-making for apartment purchases by facilitating investment return simulations and comparisons between rent and mortgage payments for potential buyers.
📋 Article Processing Timeline
- 📰 Published: May 13, 2026 at 19:00
- 🔍 Collected: May 13, 2026 at 10:31
- 🤖 AI Analyzed: May 13, 2026 at 12:09 (1h 37m after Collected)
Livesense Inc. (President: Taichi Murakami, Headquarters: Minato-ku, Tokyo, Securities Code: 6054), which operates the real estate information website 'IESHIL' (URL: https://ieshil.com/), has released a new feature that calculates and displays 'estimated rents for each apartment unit' in the Tokyo metropolitan area using its unique machine learning technology. The 'estimated rent' provided by IESHIL facilitates income and expenditure simulations for investment considerations and allows potential buyers to easily compare rent with mortgage payments, thereby supporting decision-making for apartment purchases.
■ Continued High Apartment Prices; 'Rental Value' Also Becomes a Judging Criterion
In recent years, as apartment prices in the Tokyo metropolitan area continue to soar, there is a stronger tendency to emphasize 'asset value' with an eye on future sales or relocation, even for purchases made for residential purposes.
Compared to 'sales prices,' which are easily influenced by market expectations and interest rates, 'rent' directly reflects the supply and demand balance of an area, making it an indicator of an 'apartment's true value,' so to speak.
IESHIL believes that visualizing this 'rent' will assist users who require careful judgment in the high-price market, leading to the implementation of this feature.
■ 'Estimated Rents for Each Unit' Calculated by Machine Learning, Reflecting Individuality
Even within the same apartment building, rents vary significantly depending on the floor, orientation, and floor plan. IESHIL has achieved the visualization of 'estimated rents for each unit' by analyzing vast amounts of market data with machine learning.
Knowing the 'estimated rent' not only helps with income and expenditure simulations for investment consideration but also makes it easy for potential buyers for residential purposes to specifically compare 'the rent if they were to lease the same unit' with 'the mortgage payment if they were to purchase.' Furthermore, IESHIL lists actual rental history, allowing users to grasp the frequency of rentals and trends in rent market prices, enabling a more multi-faceted property analysis in conjunction with the 'estimated rent.'
With this information, decisions regarding 'buying or renting' can be made based on objective data.
Display image within 'Reference market price by room' on the building details page
■ About 'IESHIL' (URL: https://ieshil.com/)
'Providing customers with the most transparent real estate services anywhere.'
For many people, 'buying a home' is one of the few and largest purchases in their lives, yet few have experience or knowledge of buying and selling, and it's not uncommon to be unable to judge the quality of a decision. On the other hand, the source of profit for real estate companies is 'successful transactions,' and the motivation to pursue 'consumer satisfaction and profit' is generally low. As a result, the real estate industry still has a structure that profits from the knowledge gap and information asymmetry with general consumers, and systematization and efficiency have not progressed sufficiently due due to legal regulations and industry customs.
IESHIL sees a significant challenge and business opportunity in this structure and aims to solve the structural problems of the real estate industry with 'transparency' and 'IT efficiency' as its weapons, striving to achieve more convincing real estate transactions. (As of May 2026, IESHIL covers condominiums in Tokyo and three surrounding prefectures.)
Contact for inquiries regarding the use of IESHIL: https://www.ieshil.com/site_inquiry/
■ About Livesense Inc. (URL: https://www.livesense.co.jp/)
Livesense Inc. operates services such as 'Machbaito,' 'Tenshoku Kaigi,' 'Tenshoku Draft,' 'batonn,' and 'IESHIL,' under the corporate vision of 'Inventing the Obvious.' Through the invention of new 'obvious things,' we aim to become a company essential to more customers and society at large.
・Location: Tokyo Portcity Takeshiba 10F, 1-7-1 Kaigan, Minato-ku, Tokyo
・Established: February 8, 2006
・Capital: 237 million JPY
・Representative: Taichi Murakami, President and Representative Director
・Business Description: Internet media operation business
■ Continued High Apartment Prices; 'Rental Value' Also Becomes a Judging Criterion
In recent years, as apartment prices in the Tokyo metropolitan area continue to soar, there is a stronger tendency to emphasize 'asset value' with an eye on future sales or relocation, even for purchases made for residential purposes.
Compared to 'sales prices,' which are easily influenced by market expectations and interest rates, 'rent' directly reflects the supply and demand balance of an area, making it an indicator of an 'apartment's true value,' so to speak.
IESHIL believes that visualizing this 'rent' will assist users who require careful judgment in the high-price market, leading to the implementation of this feature.
■ 'Estimated Rents for Each Unit' Calculated by Machine Learning, Reflecting Individuality
Even within the same apartment building, rents vary significantly depending on the floor, orientation, and floor plan. IESHIL has achieved the visualization of 'estimated rents for each unit' by analyzing vast amounts of market data with machine learning.
Knowing the 'estimated rent' not only helps with income and expenditure simulations for investment consideration but also makes it easy for potential buyers for residential purposes to specifically compare 'the rent if they were to lease the same unit' with 'the mortgage payment if they were to purchase.' Furthermore, IESHIL lists actual rental history, allowing users to grasp the frequency of rentals and trends in rent market prices, enabling a more multi-faceted property analysis in conjunction with the 'estimated rent.'
With this information, decisions regarding 'buying or renting' can be made based on objective data.
Display image within 'Reference market price by room' on the building details page
■ About 'IESHIL' (URL: https://ieshil.com/)
'Providing customers with the most transparent real estate services anywhere.'
For many people, 'buying a home' is one of the few and largest purchases in their lives, yet few have experience or knowledge of buying and selling, and it's not uncommon to be unable to judge the quality of a decision. On the other hand, the source of profit for real estate companies is 'successful transactions,' and the motivation to pursue 'consumer satisfaction and profit' is generally low. As a result, the real estate industry still has a structure that profits from the knowledge gap and information asymmetry with general consumers, and systematization and efficiency have not progressed sufficiently due due to legal regulations and industry customs.
IESHIL sees a significant challenge and business opportunity in this structure and aims to solve the structural problems of the real estate industry with 'transparency' and 'IT efficiency' as its weapons, striving to achieve more convincing real estate transactions. (As of May 2026, IESHIL covers condominiums in Tokyo and three surrounding prefectures.)
Contact for inquiries regarding the use of IESHIL: https://www.ieshil.com/site_inquiry/
■ About Livesense Inc. (URL: https://www.livesense.co.jp/)
Livesense Inc. operates services such as 'Machbaito,' 'Tenshoku Kaigi,' 'Tenshoku Draft,' 'batonn,' and 'IESHIL,' under the corporate vision of 'Inventing the Obvious.' Through the invention of new 'obvious things,' we aim to become a company essential to more customers and society at large.
・Location: Tokyo Portcity Takeshiba 10F, 1-7-1 Kaigan, Minato-ku, Tokyo
・Established: February 8, 2006
・Capital: 237 million JPY
・Representative: Taichi Murakami, President and Representative Director
・Business Description: Internet media operation business