Collabit Patent
2025-04-22 01:38:04

Collabit Achieves Patent for AI Pricing Estimation of Condominiums Based on Floor and Orientation

Collabit Secures Patent for Innovative AI Pricing Estimation



Tokyo-based Collabit has made headlines by obtaining a patent for a unique AI-driven price estimation process that calculates price differences of condominiums based on their floor level and orientation. The filing date for the patent was April 2, 2025, under application number 2025-061510, with Tackaya Taniguchi named as the inventor. This groundbreaking development is expected to revolutionize how prices are assessed in the real estate market.

Implications of the Patent


This patent enables Collabit to enhance the transparency and reliability of their valuation reports, or comparative prices, by justifying how floor level and orientation can influence property pricing. With the integration into Collabit's existing pricing estimation engine, users can expect more accurate and substantiated valuations.

Traditionally, differences in property prices based on elevation and direction have been complex, often dictated by regional characteristics and individual property qualities. This complexity made visualizing such differences challenging, leading to reliance on personal experiences, intuition, or historical pricing charts when assessing properties.

The newly patented process aims to visualize these disparities in a more systematic way, thereby facilitating a more objective and reliable property appraisal process.

Features of the Enhanced Estimation Process


1. Visualization of Price Disparities: The technology allows for a clear visualization of how floor levels and orientations affect pricing, tailored to specific areas and properties.
2. Real-Time Data Reflection: The newest data can be integrated into the outputs, ensuring that the pricing differences mirror the latest market trends.
3. Customization for Individual Properties: For certain properties, historical pricing indices from the initial sales can be utilized, allowing for more tailored calculations of price disparities.

Developer Insights


Tackaya Taniguchi comments on the challenges of estimating floor disparities and positional utility ratios in property valuations—a process often considered highly complex. To accurately compute differences in pricing, it’s essential to continuously collect data while employing machine learning techniques. In reality, many appraisals have depended on the expertise and intuition of real estate appraisers due to these complexities.

With the new patent, however, the explanatory power behind price estimations has significantly improved, paving the way for better transparency in condominium pricing. Collabit aims to continue enhancing the real estate environment, fostering increased transaction activity based on clearer pricing structures.

About Collabit


Founded by CEO Takashi Asakami, Collabit is dedicated to transforming the real estate valuation process through its innovative AI technology, HowMa. The company's office is located at 8F, 1-13-10 Shibaura, Minato-ku, Tokyo. With HowMa's development and operations, Collabit also provides real estate price estimation data and business support services tailored for real estate companies.

Prominent clients include Nomura Real Estate Solutions, Nomura Securities, and Panasonic among others.

Future Outlook


Asakami, an experienced financial systems engineer, developed HowMa in 2015 after experiencing personal challenges related to property ownership. His vision is to empower homeowners by enabling them to understand and capitalize on their property values. His ambitious goal is to increase Japan's annual transaction amounts in second-hand properties from 4 trillion yen to 5 trillion yen by 2030.

For media inquiries, please contact the Collabit public relations team at [email protected].


画像1

画像2

画像3

Topics Other)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.