SimScale

One week of amazing conversations, too many caffeine “doses,” a few late-night fixes, and even some wine at the stand party later… and Hannover Messe is officially a wrap. ☕🍷 The SimScale team is packing up at Hall 17, Booth G27, and heading home later today, but the conversations are definitely not over. 👉 This week was all about one thing: how engineering workflows are actually changing in practice, not in theory. From live demos on agentic engineering to deep-dive discussions on real simulation bottlenecks, the energy on the floor was incredible. 🚀 A big shoutout to the onsite team who led so many great conversations throughout the week: Adil Ahmed Chaudri, Christos Daskalou, Guillermo Leturio Barea, Ruben König, Omar Popal, Aly Taleb Khairi Deiri, and Jon Wilde. If you stopped by the booth or joined the session, great connecting with you. If you didn’t make it, no worries, you can still reach out to the team, and they'll walk you through what we showed and what’s next. See you at the next one. 👋

Three days into Hannover Messe, and the "Industrial AI" talk is everywhere, though there is still plenty of dust in the air on how to operationalize it. Most engineering leaders are trying to replicate the success they’re having with AI code generation in their core engineering workflows without getting lost in lengthy IT projects. A few observations from our booth conversations this week: Legacy vs. Modern: One reason AI in software is easier is because it’s not as multi-modal and physics-governed as hardware. But another reason is that  software engineering moved to collaborative, data-managed, agile stacks long ago, while much of the hardware workflows are still tethered to "single-player" desktop tooling. Lab vs. Loop: Most engineering leaders now prioritize AI integration but equally most of them are still in the experimentation and pilot phase, which maps very well to the research report we published a few weeks back. We’re at Hall 17, Booth G27 for the final 48 hours. If you’re in Hannover and want to see an example of how engineering teams can introduce AI workflows into their product development without months long IT cycles, swing by! If you can't make the booth, some raw data on where the industry stands is in the report below.

Simulation is no longer the bottleneck. Coordination is. ⏳ We’ve said it before: only 3% of engineering teams are truly "Agentic." But what does that look like when it's time to hit "Run" on a complex assembly? It looks like Convion (an HD Hydrogen company) is compressing a 3-month design cycle into under 60 minutes. They didn't just go faster. They used Physics AI to evaluate thousands of variants, identifying a "non-intuitive" geometry that halved their physical volume while hitting every performance target. The era of siloed, expert-only simulation is ending. Join Jon Wilde (SimScale) and Armin Narimanzadeh (Convion) for a live session on how Agentic Engineering is reshaping product design. We’re moving from Tools to Agents. Here is what we’re covering: ✔️ Scale the Unscalable: How to automate complex tasks and deploy expert methods across your entire org. ✔️ Engineering AI + Physics AI: How to merge AI with physics-based confidence to know when and how to simulate. ✔️ The Convion Blueprint: A deep dive into the workflow that turned months of work into minutes of insight. 🔗 Register here: https://hubs.la/Q04d9ccJ0

We're in. 🏁 The first wave of the SimScale team has landed at Hannover Messe, Hall 17, Booth G27, and the rest are on their way to bring the full energy. 💪 This week is going to be a good one. Here's what's happening: Today, Jon Wilde and Neil Ashton are taking the stage for a masterclass on agentic engineering. What it actually looks like. Why it matters. Why your current workflows won't cut it for much longer. 📍 Hall 26, E43 Tomorrow, we're throwing a stand party. And yes, we're announcing our raffle winner who walks away with some cool Nothing goodies. 👀 If you're on the floor, come find us at Hall 17, G27. Bring your toughest project, your messiest workflow, or just your curiosity, and let's talk through it live with the team. See you there. 👋

Recently, David Heiny shared a stat in his conversation with James Anderton from engineering.com that separates early movers from everyone else: Only 3% of engineers are using agentic AI in simulation today! We’re talking about moving from months of simulation setup to minutes. Meanwhile, most engineers are already comfortable using AI for code. So the real question is: why hasn’t that shift happened in hardware workflows yet? 🤔 That gap is exactly what we’re addressing. Dr. Steven Lainé and Alex Graham are hosting a live session this week where you can see the SimScale Engineering AI Agent in action: ✅ Automated setup for complex geometries. ✅ Physics-based results in real time. ✅ How to get access and start using it. If you’re curious what it takes to move from experimenting… to actually applying AI in engineering workflows, this session is worth your time. 📅 April 23 | 4:00 PM CET 🔗 Register here: https://hubs.la/Q04cHwNv0

Each week, the Engineering AI agent in SimScale gets more capabilities - most recently with several improvements focused on the ability to deal with CAD models in a smarter way. The Engineering AI system still requires the user to provide basic instructions and specific domain knowledge during the agent creation, but it is becoming much more capable out of the box at working through engineering contexts. The goal is to use AI agents with embedded expert know-how to execute simulation workflows that are hard to automate with traditional methods, allowing the user to focus on design decisions rather than the solver configuration. My colleagues Dr. Steven Lainé and Alex Graham are going to take the latest version of the Engineering AI agent for a spin during a live session next week to show how it navigates CAE workflows from CAD to design decisions. If that sounds interesting, register to see it in action. Details in the comments.

The SimScale team is packing laptops, charging power banks, and probably arguing over who forgot the booth cables… 😄 📍Next stop: Hannover Messe, Hall 17, Booth G27. We’re getting ready to land at the event and turn our booth into a live playground for engineering innovation. If you’re walking the floor, come find us. This isn’t a “watch a slideshow and grab a brochure” kind of stop. At our booth, you’ll be able to: 🔹 See how simulation actually keeps up with design speed 🔹 Explore workflows that take you from CAD to results without the usual bottlenecks 🔹 Get hands-on with AI-driven approaches that rethink how engineering problems get solved 🔹 Talk directly to the team building it (the people who know what’s under the hood, and what’s coming next) If you haven’t locked in your visit yet, we’ve got a limited number of free passes. Grab yours while they’re still available 👉 https://hubs.la/Q04cvHrY0

Your simulation software can handle 100 design variations. Your team can run maybe 10 before the specialist is booked for the next month. That gap isn't a capacity problem. It's a setup problem. 🔓 Repetitive workflows, manual configuration, and expertise bottlenecks aren't limitations of the simulation. They're friction that kills iteration speed and force you to ship compromises. Next week, Dr. Steven Lainé and Alex Graham will showcase what happens when Engineering AI removes that friction. You'll see: ✔️ The Engineering AI agent working through a real simulation workflow ✔️ How setup time collapses, so iteration becomes the focus ✔️ Real use cases from teams already solving this problem ✔️ How to join the early access program If you're managing simulation workflows or waiting on specialist capacity, get your questions ready and join us live! 🔗 https://hubs.la/Q04cjdmk0

🏗️ Your data isn't the bottleneck. Your infrastructure is. And most teams don't realize it yet. We surveyed 350 engineering leaders. 74% say data preparation is blocking them from scaling AI. But here's what the data actually shows: The teams winning aren't waiting for perfect conditions. They're exploring 3x more design variants in the same time window. Same constraints. Same data messiness. Completely different results. ➡️ The difference? Infrastructure, not data readiness. Cloud-native platforms. Governance built in. Workflows that integrate rather than isolate. The teams getting ahead embedded AI into how they decide. Not into how they prep. You don't need perfect data to expand your design space. You need the right infrastructure to move fast while you're building it. That's not a theory. Our 2026 report on Engineering AI shows the exact separators between pilots and scaled impact. The question isn't "when is our data ready?" 📌 It's "how many designs are we leaving unexplored while we wait?"

Stop scaling simulation like it's 2015. 😴 On April 21st at Hannover Messe, Jon Wilde (SimScale) and Neil Ashton (NVIDIA) show you what agentic engineering actually looks like in practice, and why your current workflows are about to feel very outdated. What you'll learn: ✔️ How AI autonomously handles simulation setup, model selection, and handoffs ✔️ Why physics-based AI + engineering AI together change everything ✔️ Real workflows from teams already shipping faster with this approach For product designers, simulation engineers, and technical leaders who need to iterate at speed, not in cycles. 🔗 April 21st, Hall 26 (E43), Hannover Messe, limited seats! Register now: https://hubs.la/Q04bVg0y0 #AgenticEngineering #SimulationDriven #EngineeringAI #HannoverMesse