Home News The evolution of TIMi: From business insight to the intelligent mining machine

The evolution of TIMi: From business insight to the intelligent mining machine



In the rapidly evolving data science industry, few companies have impacted as significantly as TIMi, a name synonymous with innovation and excellence in the field. Originally founded as Business-Insight SPRL, TIMi has gone through a transformation and is now a leading organization in the industry.

Founders Frank Vanden Berghen and Daniel Soto Zeevaert combined their expertise and passion for data science that eventually led to establishing Business-Insight SPRL. From the outset, the company aimed to revolutionize how organizations harness data to drive decision-making processes.

In its early days, Business-Insight SPRL focused on developing cutting-edge software solutions to address the growing needs of data-driven businesses. The founders recognized that the key to unlocking the potential of big data and analytics lay in creating tools that were not only powerful but also user-friendly. This philosophy later became a foundation of the company’s vision, guiding its development efforts and setting it apart from competitors.

As the company grew and evolved, so did its identity. In a move that signaled a new era, Business-Insight SPRL rebranded itself as TIMi. The name change was more than a cosmetic alteration; it reflected a major shift in the company’s mission and vision. TIMi, short for The Intelligent Mining Machine, encapsulated what the company aimed to achieve: the development of intelligent, automated tools that could mine vast amounts of data with unparalleled efficiency.

The rebranding also marked a significant restructuring of the company offices with new subsidiaries in Latin America (in Bogotá, Colombia and in Lima, Peru). The founders redistributed shares among new partners, building collaboration and shared purpose. Central to TIMi’s success has been its suite of innovative software solutions. One of the company’s flagship products, TIMi Modeler, is a game-changer in automated machine learning. Launched at a time when the concept of AutoML was still in its infancy, TIMi Modeler set new standards for ease of use and performance. Its intuitive interface and powerful algorithms made it accessible to many users, from data scientists to business analysts.

A pivotal moment for TIMi came in 2009 when the company participated in the prestigious KDD Cup, a global competition that challenges participants to develop the most accurate predictive models. TIMi Modeler’s performance in the competition was impressive, earning accolades and uplifting the company’s reputation in the field.

One of the company’s first major clients was a leading telecommunications provider. This partnership provided TIMi with a valuable opportunity to showcase its capabilities and opened the door to further growth and development. As the company continued to expand its reach, it introduced additional tools that complemented its existing offerings.

Among these were Stardust, a powerful 3D clustering tool; Anatella, a high-performance data transformation engine; and Kibella, a self-service business intelligence platform. Each tool addressed specific needs within the data science workflow, creating a comprehensive suite that could tackle various challenges.

Anatella, in particular, became a mainstream offering by TIMi. Its ability to handle large datasets with exceptional speed and efficiency sets it apart from other data transformation engines. The proprietary file format and caching mechanism developed by TIMi enabled Anatella to outperform competitors, making it an indispensable tool for data scientists and analysts.

TIMi’s success is built on collaboration, excellence and a relentless pursuit of innovation. As the company continues to grow and expand, it remains committed to empowering organizations with the tools they need to harness the full potential of their data.


The news and editorial staffs of the New York Daily News had no role in this post’s preparation.

LEAVE A REPLY

Please enter your comment!
Please enter your name here