The Working Wonders blog

Simulation insights in a click: scaling expertise beyond specialists

In most engineering organizations, simulation expertise is concentrated in a relatively small group of highly experienced professionals. These experts do far more than simply run analyses. They understand how to make the right modeling choices, which assumptions are acceptable, where simplifications are possible, and how results should be interpreted within the broader engineering context. As simulation becomes more embedded across product development, more teams want faster feedback and deeper insight, making their expertise increasingly in high demand. Multidisciplinary analysis is now routine, and design decisions rely heavily on virtual validation.

Yet despite advances in computing power and software capability, a familiar limitation remains. The constraint is no longer technology - It is the availability of scalable expertise.

Why Cost Optimization Should Start at the Design Stage

Modern product development demands a delicate balance: ensuring parts meet functional requirements while minimizing cost. While performance and reliability have traditionally guided early design decisions, cost is now becoming an increasingly influential driver from the outset. When cost is not considered until prototypes are built or tooling is already ordered, teams often find themselves reacting late in the process—scrambling to cut expenses through supplier negotiations, material changes, or rushed design adjustments.

Simulation data is everywhere, what about the expertise?

Simulation is the center pillar of modern engineering. With faster solvers, increased computing power, and multidisciplinary analyses becoming part of everyday engineering work, teams are producing more simulation results than ever before. Yet despite this abundance, the value of these results often remains constrained.

What's new in Optimus 2025.1 — More Power, Control and Efficiency

We’re excited to announce the release of Optimus 2025.1, packed with powerful new features and enhancements designed to give simulation engineers, designers, and product owners more control, flexibility, and efficiency in their workflows.

R&D: The Centre of Innovation in Engineering

Coming back from the holidays, I’m still reeling into our dinner table conversations linger with my family, my partner, his brothers (all PhDs), and their equally accomplished spouses — engineers and professors — filled the room with animated discussions about the latest trends in automotive and software industries. As the laughter and debates flowed, one topic stood out for me amidst the chatter: the critical role of R&D in driving innovation and keeping organizations ahead in a competitive world.

Transforming product development with the id8 cloud platform

Top 3 challenges of modern engineering and how collaboration enables organizations overcome these challenges and to empower teams, streamline processes, and redefine product development in the digital age.

Balancing Speed and Accuracy with the power of AI

Engineers use simulations to understand, analyze and predict how their complex systems behave in the real world, and improves the quality and accuracy of their designs, from the earliest stages of design.

The idea behind id8

Having the customers at the centre of innovation has driven successful business and product roadmaps at Noesis Solutions for many years. In the last two decades of pioneering innovation, we have an in-depth understanding of the integration and automation of engineering workflows and its role to obtain conceptual knowledge in the early stages of the design process. But this understanding also led us to grasp the fact that evolving alongside industry trends is no longer a choice to thrive in the ever-changing landscape of digital engineering.