Details

Last Funding Type

Non-Equity Assistant

Industries

Analytics,Artificial Intelligence,Data Mining,Information Services,Information Technology,Machine Learning

Founded date

Jan 1, 2015

Number Of Employee

1 - 10

Operating Status

Active

We support solutions needed in the real world for the application of data science. Current data analytics technologies require large amounts of training data and long training times-this is not viable for most companies. Contrarily, Edammo generates results based on small training samples and can create new models in real-time. We are committed not only to providing our clients with innovative machine learning solutions, but long-term support so that our clients can achieve their goals.
Developed and designed using in-house breakthrough, predictive analytics technology, Edammo enhances insights through innovative machine learning software. With a strong focus on real-time analysis, Edammo delivers dynamic and fully automated solutions without requiring users to manually adjust parameters. Another key aspect of Edammo Technology is its ability to provide highly accurate results even based on small amounts of training data. In addition, our solution is fully versatile and can be implemented as either a cloud-based service or a local application.
The key proprietary advantages of the Edammo Data Analytics solutions is its ability to process transient data in real-time and the ability to derive insights from even small amounts of training data. Stationary components can be learned by traditional machine learning methods as they are stable in time. Transient components are dynamically changing depending on independent factors not directly available to the user. Competitors use the approach of utilizing a high volume of stationary data, while identifying past patterns can help forecast future trends-this model cannot leverage dynamic data. In the wake of a highly volatile global economy, modern companies will be heavily defined by their ability to adapt and respond quickly to unexpected fluctuations in their environment.