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.
Serie di Webinar - quarto appuntamento
L'ultimo incontro della serie di webinar si focalizzerà sul tema della trasformazione digitale dei processi aziendali nel contesto del Dimensional Management.
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
La crescente complessità dei sistemi ingegneristici rende sempre più difficile ottenere previsioni rapide de affidabili del comportamento fisico durante le fasi di progettazione. In questo webinar verrà mostrato come Simcenter PhysicsAI consenta di sviluppare modelli virtuali predittivi basati sull'intelligenza artificiale, in grado di riprodurre i risultati delle simulazioni fisiche tradizionali con tempi di calcolo drasticamente ridotti.

CASE STUDY
This brief article summarises how California-based electric car company, Lucid Motors, used the CAE application, ModeFRONTIER for performing Computational Fluid Dynamics (CFD)
automotive optimization modefrontier

CASE STUDY
This study presents the work undertaken by Dana Incorporated to develop a new independent suspension axle for an off-highway vehicle (OHV). This multi-disciplinary simulation activity combines improvements to the kinematic and dynamic performance of the suspension while also examining the constraints of the mechanical design and the hydraulic system, as well as the cost of the suspension.
modefrontier automotive

CASE STUDY
In this example, these features were tested by simulating the motion of a very thin plastic film (32µm) being dragged by two rollers.
recurdyn mbd-ansys mechanics multibody
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.
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.
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.