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
This technical article describes how high-end numerical Computational Fluid Dynamics (CFD) simulations were applied to mimic the realistic operating conditions of a Ventricular Assist Device (VADs) and analyze its hemodynamics in order to identify potential areas for optimization of the device’s performance, safety and efficacy.
ansys cfd biomechanics

CASE STUDY
This project investigates how best to correctly predict the energy absorption of these non-isotropic and non-homogeneous materials, whose lamina thickness is typically of the order of 0.2 mm or less and consists of tiny fibers or particles dispersed in a matrix material.
ls-dyna aerospace composites
CASE STUDY
This article presents the challenges of conducting fatigue analysis on rubber components due to their nonlinear behaviour, contrasting this with linear superposition methods used in metal fatigue analysis. Traditional linear methods are effective for linear materials, allowing for efficient stress-strain history generation through the scaling of finite element (FE) solutions based on input load histories. However, these methods fail for rubber because of its complex material properties and behaviours.
endurica automotive
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 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.
Paolo Bellutta is a Mars Exploration Rover Driver, officially a “Rover Planner”, at the Jet Propulsion Laboratory of NASA’s Mars Science Laboratory, in Pasadena, California, which is one of NASA’s R&D laboratories in the USA. Bellutta is responsible for moving the Mars rover around the Red Planet, picking the images that the vehicle captures at the end of the day, deciding where it is safe to move the vehicle to approach the various science goals that the geologists and other scientists communicate to him, and so on.
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.