SimScale – Weekly Recap

SimScale featured prominently this week for advancing its AI-driven “agentic engineering” strategy and reinforcing its position in cloud-native simulation. The company emphasized Engineering AI and Physics AI to automate setup, accelerate simulations, and address bottlenecks in hardware engineering workflows.

SimScale launched “Agentic Engineering Live,” a LinkedIn Live series that demonstrates its AI agent configuring and running simulations in real time. The first episode will show Product Manager Kanchan Garg loading a CAD model and handing the setup process to the AI agent while explaining each decision.

Through these live demonstrations, SimScale aims to build trust in AI-driven workflows for CFD and broader CAE applications. By highlighting transparent decision-making, the company is targeting engineers who seek productivity gains but remain cautious about delegating critical tasks to AI.

The week also underscored practical AI use cases, including a Convion fuel cell project where thousands of design variants were evaluated in under an hour. According to SimScale, this workflow compressed a design cycle from months to minutes and delivered a geometry that halved physical volume without sacrificing performance.

SimScale further highlighted an AI-assisted workflow that resolved a resonance issue in a cover plate exhibiting a 200 Hz spike. An AI agent automatically redesigned the component with strengthening ribs and ran full frequency and harmonic analyses, removing the spike in a single iteration.

Industrial adoption stories were another focus, with a case study on U.K.-based OEM Pektron using SimScale’s cloud platform for thermal and modal analysis. Simulations at 25°C and 85°C closely matched UKAS chamber tests, enabling a switch from die-cast to lighter aluminum pressings and helping standardize simulation use across the engineering team.

On the commercial side, SimScale announced a partnership with Dolphin Manufacturing LLC, a global player in industrial and automotive thermal products. The collaboration centers on electronics cooling and AI-driven thermal design workflows for next-generation AI applications, aiming to shorten development cycles and improve design precision.

These initiatives collectively point to a strategy focused on measurable productivity gains, customer ROI, and broader organizational adoption of AI-augmented simulation. While no financial metrics were disclosed, the combination of live series, case studies, and strategic partnerships suggests a constructive week for SimScale as it deepens its role in AI-enabled engineering.