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* Causight is a registered trademark of Sony Group Corporation.
* The core technology behind Causight has been developed by Sony Computer Science Laboratories, Inc. (Sony CSL).
Beyond
Correlation to
Causation
Correlation to
Causation
Causight extracts causal relationships between items, variables, and parameters from your data to help you formulate appropriate business measures. In addition, it can quantitatively predict the causal effects of virtual measures. The functions are decisively effective for many business people and public service workers who want to leverage data to help them make decisions. With our proprietary algorithm methods and years of analysis experience, we provide you with truly useful tools and how to use them effectively.
News
2025/09/12
Technology & Research
A review paper by Isozaki at Sony CSL/Koozyt on causal discovery, causal inference, and case studies published in the book “Handbook of Statistics, Vol. 53” (by Elsevier).
2025/08/18
Technology & Research
A paper by Isozaki et al. at Sony CSL/Koozyt on causal XAI published in Procedia Computer Science.
2025/06/21
Technology & Research
Research results on causal analysis of a large-scale Japanese kidney disease database, in which Isozaki (Sony CSL/Koozyt) participated, were presented at the 68th Annual Meeting of the Japanese Society of Nephrology.
2025/01/23
Technology & Research
A paper by Isozaki et al. at Sony CSL/Koozyt on intervention effect inference algorithms published in the Journal of Physics: Complexity.
2024/10/31
Technology & Research
A paper by Isozaki at Sony CSL/Koozyt on CALC from an XAI perspective included and published in the Japanese book “How to Advance AI and Machine Learning, Improve Accuracy, and Develop Explainable AI with Limited Data” (by Gijutsu Joho Kyokai).
Case Studies
Causight can be used in a variety of business situations. The following are some examples of successful applications. For more information and more examples, see Case Studies section.
Marketing
- Effective marketing was achieved based on an understanding of good customers.
- By identifying and responding to the causes of service disengagement, we succeeded in controlling it.
- From the satisfaction survey data, we identified the items of satisfaction and dissatisfaction, and used them in public relations activities and survey design.
Manufacturing
- Quality and yield were improved by detecting the cause of the failure.
- We suppressed the occurrence of abnormal situations by identifying the cause.
Solutions Overview
Causight is a tool and service that finds cause-and-effect relationships from data to drive business.
Benefits of Introduction
Causight enables you to efficiently gain a deep understanding of your data and the important factors.
As a result, you can effectively implement measures to address a variety of issues. The effective use of data leads to business success.
As a result, you can effectively implement measures to address a variety of issues. The effective use of data leads to business success.
Flow of Introduction
01
Hearing
Confer about your situation and issues related to data utilization.
Confer about your situation and issues related to data utilization.
02
Discussion
Discuss specific issues and share an image of Causight utilization.
Discuss specific issues and share an image of Causight utilization.
03
Lecture
Before introduction, learn how to utilize Causight using original training materials.
Before introduction, learn how to utilize Causight using original training materials.
04
Setup
Software is introduced through trials.
Software is introduced through trials.
05
Support
With a wealth of know-how and support, analysis becomes self-driven.
With a wealth of know-how and support, analysis becomes self-driven.
Technology & Research
Causight enables effective analysis through seven key approaches and technologies.