알림

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

##### By Machine Learning
###### ■     Probabilistic models

Where anomaly detection can used

##### Where anomaly detection can used
###### 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.