Connect Sensitivity
with Data Science

VISION

Pioneering User-Oriented Age

The advancement of technology has led to the mass production of goods, services, and information, enriching people's lives. However, this has also brought significant environmental burdens, increasing the importance of building a sustainable society.

Considering consumer behavior, traditionally, many people have selected products based on advertisements. For example, in the case of skincare products, there was no way to numerically determine whether they were suitable for one's skin or if they would have the expected effects.

AquaAge is transforming this paradigm by utilizing AI technology. We are quantifying intuitive judgments, enabling consumers to select products and services that are most suitable for them.
This signifies a shift from advertising-focused marketing (Marketing-Driven) to a human-centered approach using technology (User-Oriented).

This change promotes a departure from the cycle of mass production and consumption, ultimately contributing to the improvement of the global environment. AquaAge is dedicated to contributing to the construction of such a sustainable society.

Connect Sensitivity with Data Science

We aim to utilize AI technology to quantify elements that have traditionally been perceived intuitively.

We visualize human intuition and sensibility through data science, transforming them into concrete and measurable information. Furthermore, by applying this to product development and service improvement, we provide personalized experiences tailored to individual needs.

Through this approach, we aim to enable objective and scientific decision-making that goes beyond subjective perceptions, striving to achieve optimal outcomes for both users and businesses.

AquaAge is realizing a new fusion of sensibility and technology, challenging itself to create innovative value.

01

Proactive towards Future

02

Learning and Creating

03

Aim for Professional

04

Yielding Results

BUSINESS

AquaAge is leveraging technologies such as machine learning, deep learning, natural language processing, and computer vision to develop AI solutions for businesses. Additionally, we have achieved the quantification of skin data, offering the valuable HADABON series of services to both consumers and businesses.

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CLIENT

PATENT

Title of the Invention

Causal Inference Program, and Causal Inference Device

Technical Field

Image Analysis, Data Science

Patent Filing Date

June 23, 2023

Patent Number

Patent No. 7301432

Inventor

Naren Bao (Phd. of Information Science)

Patent Summary

This patent involves a causal inference program that executes several processes: an image acquisition process that captures an analysis target image of a cosmetic product; a product information acquisition process that retrieves product information, including the cosmetic's brand name and its various ingredients, from the text contained in the analysis target image; a registration process that logs this product information as cosmetic data along with the registration date; a change amount calculation process that computes the change in the user's skin characteristics from the registration date; and infers the causal relationship between the cosmetic product and these characteristics based on the calculated changes.

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Title of the Invention

Causal Inference System, Causal Inference Method, and Program

Technical Field

Image Analysis, Data Science

Patent Filing Date

November 24, 2023

Patent Number

Patent No. 7390768

Inventor

Naren Bao (Phd. of Information Science)

Patent Summary

A causal inference system that registers drug information as drug data, including at least one of the brand names of over-the-counter or prescription drugs taken by the user, and the ingredients contained in these drugs, along with the registration date. In the mental health value calculation step, the system determines the user's emotions by analyzing facial images taken of the user, thereby calculating a mental health value indicative of the user's mental health status. In the change amount calculation step, the system calculates the amount of change in the mental health value from the registration date. Using a judgment formula obtained through statistical methods, it infers the causal relationship between the over-the-counter or prescription drugs and the mental health value, based on the change amount, the period over which the change amount is calculated, and at least one of the brand names or ingredients of the drugs taken during the calculation period.

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OUTLOOK

「Visualizing Innovation, Creating the Future」

We are deploying our data science business in a wide range of fields, beginning with AI image analysis.
By leveraging cutting-edge AI and cloud technologies, we aim to create the future through the fusion of health, beauty, and data.

CONTACT

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