What is "Impulse"?

Impulse is the real-time predictive analytics platform for any kind of time series data using machine learning. Especially focus on anomaly detection and factor analysis.

What is Impulse used for?

Our Customers

Osaka Gas Co., Ltd.
JFE Engineering Corporation

Why do they choose Impulse?

Quickly and Exhaustive Analitics

Quickly and exhaustively analyze the time-series data.

Automatically Generate ML Models

Automatic creation for anomaly detection models.(Patent No.6315528)

Edge Computing Environment

Immediate and seamless detection in edge computing environments.



For Industrial / Manufacturing

Adopt Impulse for Quality Inspection, Defective Cause Analysis, Factory Equipment Monitoring, Remote Product Monitoring etc.

Reference Architecture

  • AWS CloudTrail, Amazon CloudWatch, Elastic Load Balancer, Amazon S3, AWS IoT, Amazon Kinesis, Amazon EMR, Amazon DynamoDB, Amazon SNS, AWS Lambda, AWS Greengrass


Unified data analytics platform

Impulse is a data analysis platform that adopts the “Apache Spark” as the core architecture. Impulse is providing a unified platform that is ultra-high-speed processing by in-memory computing, deep analysis by machine learning, the streaming processing.

Easy to use Machine Learning

Impulse is equipped with advanced analysis functions using machine learning. In addition, there are cost advantages that compared to other companies. We have the ingenuity of automation for use easily. We has continued its efforts to offer the benefit of analysis using machine learning to many companies.

Agility, Scalability, Performance

Advantage of the various AWS services with the scalability, such as AWS IoT, Greengrass, Amazon Kinesis and Dynamo DB, S3, EMR, etc., and to achieve the provision of quick and inexpensive large-scale data analysis environment.Brains Technology is the Technology Partners of AWS.

Powered by AWS Cloud Computing

Brains Technology named a 2018 Cool Vendor by Gartner

Gartner, Cool Vendors in Performance Analysis, AIOps Focus 2018, Padraig Byrne et al, 4 May 2018
The Gartner Cool Vendor Logo is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner, Cool Vendors in Performance Analysis, AIOps Focus 2018

Feature Highlights

Anomaly Detection

Analyzing the characteristics of the data and auto-selecting the optimum algorithms and parameters in order to realize the anomaly detection precision.

Proactively detect the complex systems anomalies state, unlike the threshold-based monitoring systems can not be found.