RapidMiner is a product of Altair
RapidMiner is a comprehensive data science platform that empowers users to build and deploy advanced analytics solutions. It provides a visual workflow designer, enabling both technical and non-technical users to easily create machine learning models.
RapidMiner supports the entire data science lifecycle, from data preparation to model deployment and monitoring.
Simplifies the creation of complex analytics workflows through a drag-and-drop interface. Reduces the need for extensive coding, making data science accessible to a wider range of users.
Covers all stages of the data science process, including data preparation, model building, and deployment. Provides a unified platform for end-to-end analytics.
Offers a vast library of machine learning algorithms and statistical techniques. Enables users to build diverse and sophisticated models.
Supports deployment of models on-premises, in the cloud, or as embedded solutions. Provides scalability and adaptability to various deployment needs.
Automates repetitive data science tasks. Increases the efficiency of the data science workflow.
Send your technical questions to our experts!
Connect you with an EnginSoft expert who can provide a reliable answer to your technical question or recommend a
proven solution.
CASE STUDY
A collaborative project between Nissan Technical Centre Europe, RBF Morph, and the University of Rome “Tor Vergata” showcases how multi-physics optimization is revolutionizing automotive wheel design, particularly for electric vehicles (EVs). By integrating styling, structural analysis, and aerodynamics within a unified workflow enabled by advanced mesh morphing technology (rbfCAE), designers can optimize wheels for lightweight, strength, and aerodynamic efficiency without compromising aesthetics.
automotive optimization
CASE STUDY
The text discusses the importance of digital simulation models in modern factory design and reconfiguration, particularly in response to shorter product lifecycles and increased customization demands. Traditional design methods often lead to inefficiencies and high costs, making digital simulation essential for creating flexible and adaptable production systems. The article highlights a case study involving a furniture assembly factory, where a manufacturer needed to efficiently handle a variety of custom kitchen cabinet orders. The system integrator was tasked with designing a robotic assembly line that could maintain production efficiency despite the high variety of products.
industry4 SIMUL8

CASE STUDY
Elettronica SpA designs and produces systems for electronic warfare. Each system design is unique according to its platform and purpose. In this article, the company describes how it used CAE to approach the challenging design of a single sandwich radome.
ansys optimization electronics
CASE STUDY
This article discusses a multi-objective optimization study to determine the optimal matrix for the routing of the actuating cable system in order to minimize the cable load on the robot and maximize the robot’s payload.
optimization modefrontier mechanics electronics

CASE STUDY
The main structure of the yacht is made of composite laminates with the presence of many composite reinforcements and bonded joints. We conducted a detailed structural analysis of the entire structure and verified the structural requirements.
marine optimization