For more than 40 years, we have been shaping the future of engineering: we have experienced and led the evolution of simulation, and today we extend its potential through AI and HPC.
We act as a strategic partner enabling scalable innovation, delivering sustainable value through the systematic integration of engineering knowledge and cutting-edge digital solutions. We provide customized digital ecosystems designed to optimize product design and industrial processes, converting technological complexity into measurable and competitive business outcomes.
Conferenza
Partecipiamo come sponsor alla Conferenza NAFEMS Italia 2026, che si svolgerà il 7 e 8 maggio presso il Teatro Sociale di Como (Via Vincenzo Bellini, 3 – 22100 Como, Italia). non perdere l'opportunità di incontrarci!
Webinar live gratuito
Questo webinar live introduce i fondamenti dell'analisi multiscala, dell'omogeneizzazione e della localizzazione attraverso semplici esempi lineari 1D e 2D. Successivamente saranno presentate applicazioni pratiche e una demo per favorire una comprensione più chiara del software.
Free live webinar
In this joint webinar, EnginSoft and deepfluid / Smart Bubble System (SBS) bring together two complementary perspectives: simulation-based understanding of multiphase fluid behavior and direct optical observation of real bubble behavior.

CASE STUDY
This technical article describes a new, automated approach to accurately and robustly morph CAD geometry based on results of analysis in order to facilitate the missing bi-directional transfer of these geometries between analysis/test/manufacture and design. Two industrial examples using this approach are also provided, in the morphing of a turbine blade deformation model and aero-elastic deformation of aerodynamic shapes for the NASA Common Research Model.
aerospace

CASE STUDY
Material models used in structural finite element analysis (FEA) are often one of the key aspects that engineers need to describe very accurately.
optimization modefrontier ls-dyna

CASE STUDY
Simulation is nowadays strongly connected to new product development in most high-technology industries.
ansys electronics
For over 40 years, we have been shaping the future of engineering. We have witnessed the evolution of simulation, driven it forward, and now amplify it through the power of AI and HPC. Our expertise originates in research laboratories and grows through real-world business challenges, where we transform complex ideas into tangible innovation.
We are the partner that walks alongside you, building digital ecosystems that enhance creativity, design, and manufacturing. Because when experience and cutting-edge technologies come together, innovation is no longer just a goal: it becomes a real, lasting, and transformative impact.
Knowledge plays a leading role in any development process: which is why research is at the heart of EnginSoft’s business and its service offering to corporate customers.
Through our participation in research projects, we realize our objectives of increasing our pioneering technical knowledge, and deepening our existing experience while gaining access to new industries and simultaneously innovating and testing new instruments, software, applications and technologies in SBES.
Research and Technology Transfer Consultancy for co-funded projects
Lifelong Learning is an essential prerequisite for innovation: with our wide range of courses, delivered by sector professionals we ensure that our customers develop their digital skills and provide continuous qualifications for their employees.
We offer both basic and advanced training courses in the field of simulation, customized courses, and coaching, to help you to maximize return on investment when adopting state-of-the-art technologies and to create know-how that is an asset to the company; in other words, broad-spectrum education and training.
In-depth analysis and trends from our experts, with valuable advice to overcome engineering challenges with a systemic and global vision
With major OEMs committing to increasing numbers of Electric Vehicles and greater electrification, the total electric car stock is growing and researchers and engineers are focusing on increasing the efficiency of e-machines.
After decades in which engineers, mathematicians, biologists, and doctors have worked in disciplines that were considered to be very separate fields, we are now facing a revolution in the health sector: intensive collaboration between these various disciplines makes it possible to achieve astonishing results that were previously unthinkable.
The interest in artificial intelligence (AI) is growing apace. Scarcely a day goes by without the publication of some article in the press concerning its abilities. However, many of these articles, particularly in the mainstream media, remain sensationalist and do not come to grips with the real potential for artificial intelligence in the business, and particularly, industrial sectors.