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.
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Nella maggior parte delle aziende di engineering la gestione delle licenze è complessa e frammentata. La soluzione? HPCWorks Insignt Pro for License Analytics, uno strumento fondamentale per le aziende che vogliono basare le proprie decisioni di acquisto e rinnovo delle tecnologie software su dati oggettivi.
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Il webinar affronterà la conversione di un processo di pressocolata classico in un processo di fusione con materiale semisolido con i conseguenti benefici qualitativi, economici ed ambientali.
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.

CASE STUDY
In this technical article, EnginSoft and Prometech explain how they executed a highly complex computational simulation on the fluid-structure interaction of the oil flow inside a reciprocating engine, on behalf of Honda R&D.
automotive cfd particleworks

CASE STUDY
This article combines the use of the finite element method with a Design Thinking approach to reconstruct a road traffic accident for an traffic accident insurance report in order to analyse the outcome of the accident, compare the respective property damage, and the physical injuries to pedestrians or passengers in order to limit the quantity of large claims compensation for the insurance company, while ensuring the fairness of the compensation for the customer to foster greater trust and credibility in the insurance provider.
automotive ls-dyna
CASE STUDY
This paper demonstrates how the biological growth method, studied by Mattheck in the 1990s, can be easily implemented for structural shape optimization finite element method (FEM) analyses using advanced radial basis functions (RBF) mesh morphing.
ansys biomechanics rbf-morph
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 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.
Designing, developing and manufacturing high-performance, ground-breaking products requires engineers to integrate multiple disciplinary skills into an effective and efficient process of design and optimization.