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Engineering AI that Supports Real Decisions

April 23, 2026

Executive Summary Engineering teams rarely struggle because they lack possible answers. They struggle because getting from a question to a trustworthy answer takes work: choosing the right model, deciding which assumptions are acceptable, configuring a study that can actually run, understanding why a run failed, and turning results into something that supports a real decision. […]

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Modelon Launches New AI Assistant in Modelon Impact

New AI Assistant in Modelon Impact

April 21, 2026

Modelon’s new AI Assistant helps engineers get started faster, troubleshoot more easily, and move through simulation work with greater confidence. Simulation software has long asked users to do a lot of the heavy lifting themselves. Setting up models, working through errors, and finding the right next step often takes time, experience, and access to the […]

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5 Questions to Ask Before Trusting AI-Generated Simulation Results

5 Questions to Ask Before Trusting AI-Related Simulation Results

April 16, 2026

AI can now generate simulation models from natural language prompts. It can derive equations, write code, configure experiments, and produce results. For engineers evaluating these capabilities, the interesting question is no longer, “Can AI do it?” It almost always can. The harder question is: “Should I trust the result enough to make a decision?” That […]

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From Intent to Action: Agentic AI for Vehicle Dynamics in Modelon Impact

March 30, 2026

Artificial intelligence is already capable of turning engineering intent into executable models. The next step is putting that capability to work. Previously, we explored why equation-based, physics-driven modeling is uniquely suited for AI. Now, we move from capability to application. What happens when AI is not just generating models, but actively participating in engineering workflows? […]

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From Intent to Insight: AI-Driven, Physics-Based Modeling with Modelica

March 18, 2026

Artificial intelligence is changing engineering workflows at a remarkable pace. But in the race to adopt AI, one question matters more than most: What kinds of engineering tools are actually ready for this new era? The answer may have less to do with flashy interfaces and more to do with something foundational: open, structured, machine-readable, […]

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