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On March 28th, 2007, Rapid-I was again awarded for being
one of the top 10 start-up companies in the second and final round
of the nation-wide German business start-up competition start2grow.
Rapid-I was founded on December 8th, 2006, by Ingo Mierswa (right), the project leader
of the open-source data mining project YALE,
and Ralf Klinkenberg (left), who initiated this project in 2001,
in order to better serve the needs of professional
users of YALE and to provide innovative data mining solutions and services.
The start2grow competition is organized by the dortmund-project,
an initiative of the city of Dortmund in Germany.
This competition is open to start-up companies from all over Germany.
In the first round of this competition, which started in November 2006
and ended on February 12th, 2007, 82 teams competed for the prices and
Rapid-I was awarded for being one of the top 10 start-up companies.
The top ten teams were awarded 2500 Euro each.
In the second and final round of this competition, which ended on
March 28th, 2007, 61 teams competed for the prices and Rapid-I was
ranked on 4th place and awarded 5000 Euro.
With YALE, Rapid-I provides one of the world leading open source products
for the intelligent analysis of large volumes of data.
The discovery and leverage of unused business intelligence from existing
data enables better informed decisions and allows for process optimization.
Rapid-I also offers all data mining services: consulting, support, customization,
individual system integration, and data analysis. So, its customers
faster achieve the benefits of automated data mining for their businesses.
The YALE project started in 2001 at the Artificial Intelligence Unit
at University of Dortmund in Dortmund, Germany, where its underlying
concepts were developed and where its initial architecture was designed.
In 2004, the YALE project moved to SourceForge, became an international
project with developers and contributors from many different countries
who keep on improving and extending YALE.
Since 2004, the number of data mining operators in YALE has grown
tremendously and the architecture and implementation of YALE was
significantly re-designed and improved to address the needs of its
growing user base.
Prof. Dr. Katharina Morik, head of the Artificial Intelligence Unit
at University of Dortmund, where the YALE project started in 2001, will
continue to support this project with her expertise in Data Mining as the
first member of the scientific advisory board of RAPID-I.
She is an internationally renowned expert in machine learning, data mining,
and knowledge discovery and was one of the founders of this field
in Germany.
YALE is a rapid prototyping system for
knowledge discovery and data mining.
While the start-up Rapid-I ensures the maintenance of YALE and the support of
its users, YALE will remain open-source (GPL).
So, for end users of YALE, nothing changes: using YALE is free
of charge.
For developers of closed-source software who would like to integrate YALE
into their products, there now is the option of acquiring a developer
license (OEM) for YALE and using it as a powerful library to enhance
their products with learnability, adaptability, and innovative analytical
features.
In addition to this dual licensing, RAPID-I will continue the maintenance
and further development of YALE as well as the support of its rapidly growing
user base.
For and beyond YALE, Rapid-I will also offer services like consulting,
professional support, customization, and integration.
YALE is the technologically leading and with more than 400 data mining operators
most comprehensive open-source data mining software world-wide. It is widely used
by a large number of oranizations covering a wide range of different branches.
Today, thousands of applications of YALE in more than 30 countries give their users
a competitive edge. Rapid-I now further improves the quality of YALE and will help
to spread the benefits of data mining and business intelligence for both open-source
and professional users.
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