In general, we are working on various problems in machine learning. At the moment, our focus is anomaly detection for smartization in digital transformation. 


We are developing machine learning-based, user-friendly SW for anomaly detection for that can be easily customized and tailored to individual applications.


Besides anomaly detection, we are working on meta-learning, automated machine learning, and Bayesian optimization, with their applications to various industry problems.

In general, we are working on various problems in machine learning.

At the moment, our focus is anomaly detection for smartization in

digital transformation.


We are developing machine learning-based, user-friendly SW for

anomaly detection that can be easily customized and tailored to

individual applications.


Besides anomaly detection, we are also working on meta-learning,

automated machine learning, and Bayesian optimization, with

their applications to various industry problems.

by Machine Learning

Anomaly detection is the identification of rare items, events, or observations which do not conform to an expected pattern in the majority of the data.
■ Linear models
 Tree-based models
 Kernel machines
 Clustering methods
 Deep Neural networks
 Probabilistic models
By Machine Learning
Anomaly detection is the identification of rare items, events, or observations which do not conform to an expected pattern in the majority of the data.
     Linear models
     Tree-based models
     Kernel machines
     Clustering methods
     Deep neural networks
     Probabilistic models

Where anomaly detection can used

The goal of anomaly detection is to identify abnormal events or outliers. It is an essential tool that can be applied to various areas, including manufacturing, security, finance, e-commerce, healthcare, etc.
Where anomaly detection can used
The goal of anomaly detection is
to identify abnormal events or outliers.
It is an essential tool that can be applied to
various areas, including manufacturing, security,
finance, e-commerce, healthcare, etc.


Integrate various

anomaly detection algorithms,

managing various data types. 


A general-purposed

anomaly detection SW,

which can be easily customized,

upon request.


Employ automated

machine learning technique,

making it user-friendly.


Integrate various

anomaly detection algorithms,

managing various data types.


A general-purposed

anomaly detection SW,

which can be easily customized,

upon request.


Employ automated

machine learning technique,

making it user-friendly.