In today's fast-paced business landscape, turning raw data into actionable insights is crucial for success. Our comprehensive data analytics solutions empower organizations to harness the full potential of their data, driving informed decisions, optimizing operations, and staying ahead of the competition.
We provide a robust suite of data analytics tools designed to address the diverse needs of your organization. From data preparation to advanced modeling and real-time visualization, our solutions offer seamless integration and unparalleled power.
Ready to transform your data into a strategic asset?
Contact us for a personalized consultation and discover how our integrated data analytics solutions can drive your business forward.
Training is key to effectively using and applying methods and tools in your company.
Our experienced instructors can provide courses in person at your premises, in our training centre, or online in a virtual classroom.
training online
The course “DOE Design & Data Analysis,” structured in 6 modules over 3 days, is aimed at technicians who wish to acquire high competence in both the design of experiments to be performed (in the laboratory or with numerical analyses) and the interpretation of the data obtained from them.
training artificial-intelligence dataanalytics machine-learning
training courses
Artificial Intelligence applied to design, modeling and management of laboratory data, fundamental for project development, has clearly demonstrated significant and concrete advantages. These translate into both a reduction in calculation times and a clearer understanding of the phenomena detected by laboratory tests during the product design and development phases. The "Design and data analysis using AI" catalog offers a complete and advanced training path to develop fundamental skills in the field of design and data analysis, as well as in the creation of simplified numerical models using advanced Artificial Intelligence techniques.
training artificial-intelligence machine-learning dataanalytics
training online
EnginSoft, within its extensive portfolio of training courses, offers a theoretical and practical course on the creation of low computational impact mathematical-statistical models based on Reduced Order Modeling (ROM) methodologies. The use of open source technologies, such as the Python programming language, allows for broad usability in all interested companies.
artificial-intelligence dataanalytics training machine-learning
A selection of case studies of our expertise.
CASE STUDY
This paper presents the RENAULT F1 Team’s AM process for an aerodynamic insert in titanium Ti6Al4V. Production was optimized by identifying the best orientation for the parts and the best positioning for the support structures in the melting chamber, in addition to using the ANSYS Additive Print module, a simulation software useful for predicting the distortion of a part and for developing a new, 3D, compensated model that guarantees the best “as-built” quality.
automotive additive-manufacturing optimization
CASE STUDY
This study was part of the Virtual Optimization PAsta production process (OPAV) research project,
modefrontier ansys ls-dyna magma optimization food-beverage consumer-goods
CASE STUDY
The aerospace industry is embracing a cutting-edge workflow that combines virtual reality (VR), reduced order models (ROMs), and mesh morphing to revolutionize aerodynamic design. Developed through a collaboration between the University of Rome Tor Vergata and RBF Morph, this approach allows engineers to explore and adjust designs in real time within an immersive 3D VR environment
aerospace rbf-morph vrd
CASE STUDY
The Arvedi Group approached the University of Trieste to find a solution to the uneven distribution of material inside the hopper of their blast furnace in Trieste, Italy.
optimization modefrontier rocky mechanics
CASE STUDY
In this technical case study, EnginSoft assists Casappa to further refine an already-optimized standard series pump for an electrical motor and generator
mechanics optimization modefrontier
CASE STUDY
This article discusses a realistic multi-objective parameter optimization study of a highly athletic one-legged robot, called Skippy, in which both the parameters of the mechanism and the parameters of its optimal behaviors were sought.
optimization modefrontier biomechanics