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Your next colleague is an agent: The dawn of agentic AI-aided engineering

July 3, 2026

What if every engineer had instant access to simulation expertise? Agentic AI-Aided Engineering could transform engineering by putting intelligent AI agents alongside designers, automating complex CAE workflows, and breaking long-standing expertise bottlenecks. Discover how this emerging approach could democratize simulation and accelerate innovation across the engineering lifecycle

By Daniel Berger, Dorlis Bergmann, Arquimedes Canedo, Alexandru Ciobanas, Stefan Gavranovic, Chad Ghalamzan, Dirk Hartmann and Kai Liu
9 MIN READ
Fine-Tuning VLM

When off-the-shelf is not enough: fine-tuning for industrial part classification

June 29, 2026

Part identification in complex CAD assemblies is a bottleneck in simulation workflows, which can cost engineering teams days before the real work even begins. In this post, we explore how fine-tuning a Vision-Language Model on industrial components can improve the pre-processing phase.

By Maria Bonner
6 MIN READ
GenAI Automation through code generaiton

The role of Generative AI in simulation tool automation: From zero to hero

July 16, 2025

Imagine being able to express your simulation queries in natural language, with the software dynamically responding to carry out tasks and provide solutions. This development could democratize the use of advanced tools from the Simcenter portfolio making them more accessible to users with varying levels of expertise.

By Maria Bonner
3 MIN READ

From outdated to up-to-date: Modernizing deprecated code with multi-agents

March 13, 2025

Automation in Simcenter STAR-CCM+ with Java Macro Automation in Simcenter STAR-CCM+ has revolutionized how users interact with CFD simulations, providing…

By Maria Bonner and Robin Bornoff
4 MIN READ

Agent studio: A multi-agent system for systems engineering

December 12, 2024

This blog post shows a proof-of-concept implementation about a multi-agent system powered with large language model to enhance systems engineering workflow.

By Kai Liu, Chad Ghalamzan and Arquimedes Canedo
5 MIN READ