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.
Webinar live gratuito
Obiettivo di questo webinar è mostrare un approccio modulare e scalabile per collegare simulazione, backend e visualizzazione all'interno di un unico ecosistema integrato.
Webinar live gratuito
La progettazione delle moderne piattaforme marittime e navali è sempre più complessa: un approccio basato sulla simulazione avanzata, supportato dall'intelligenza artificiale, consente di esplorare rapidamente le alternative progettuali, comprendere i trade-off prestazionali, ridurre i rischi e accelerare lo sviluppo. Partecipa al webinar per scoprire come le tecnologie Simcenter di Siemens, integrate nel digital thread, permettano di accelerare l’innovazione.
Formazione
Il 16 e 17 Settembre 2026 si svolgerà a Bologna, presso il Best Western City Hotel, il corso di formazione dedicato alla Specificazione geometrica di prodotto ISO-GPS e analisi delle tolleranze: durante le 2 giornate Enrico Boesso, docente del corso, approfondirà queste tematiche e come affrontarle simultaneamente, per garantire la qualità desiderata del prodotto al minor costo di sviluppo possibile.
CASE STUDY
This article examines the simulation of an RCD to determine the factors that affect its response times.
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CASE STUDY
Today the numerical simulation offers an important added value for dimensioning and testing of the motorbike’s chassis.
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CASE STUDY
Engineers will normally need to evaluate a number of different designs, only one of which will result in the final construction configuration. This is why numerical simulation plays an indispensible role in roller coaster design.
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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
In the CAE sector new simulation methods continuously try to leave the embryonic or academic state to become mature and adopted by the industry. The success of this transformation depends on several factors, some related to the method itself, some other related to the “environmental conditions”, like the cultural readiness of the industry to rely and adopt new methods or the availability and affordability of hardware resources, that make these methods applicable at industrial level.
The increasingly competitive marketplace, with highly demanding customers and shrinking product development cycles, compel organizations to streamline product development and boost product performance while simultaneously drive down their internal costs. Thus resources (cost, budget, etc.), scope (features, functionalities, etc.) and schedule (time and prioritization) become equally important parameters of the project management triangle.
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.