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
Nel settore aerospace, la crescente complessità dei sistemi di volo sta rendendo indispensabile un approccio di simulazione pienamente integrato. Partecipa a questo webinar per scoprire come le tecnologie del digital thread di Siemens possano accelerare l'innovazione nella progettazione aerospace.
Serie di Webinar - terzo appuntamento
Nel terzo incontro del seminario, si approfondirà il ruolo cruciale dell’analisi delle tolleranze all’interno del Dimensional Management.
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.

CASE STUDY
This article describes how EnginSoft applied a Computational Fluid Dynamics (CFD) analysis, on behalf of Whirlpool EMEA, to simulate three different geometrical design modifications to the vacuum cleaner head to improve on a baseline performance that was modelled first.
appliances cfd ansys

CASE STUDY
This article presents a business case for the use of simulation methods and technologies in the construction sector, particularly for decision-support in sustainable building design.
civil-engineering construction environmental
CASE STUDY
The article discusses advancements in low cycle fatigue analysis for an electric motor's rotor, focusing on a new method implemented in the FEMFAT software. Traditional methods have limitations in accurately predicting material plasticization due to a lack of consideration for the sequence of load peaks, which can affect component lifespan.
automotive femfat
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
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.
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.