SimScale

Name: SimScale
Address: Ridlerstrasse 31 B, Munich, 80992, DE
Telephone: +4989809132770

SimScale is the world’s first AI-native cloud platform for engineering simulation. Visit simscale.com for more information.

Trusted by more than 700,000 users, SimScale empowers engineers everywhere to innovate faster by exploring 1000’s of engineering decisions in seconds.

22/10/2025

The race to integrate AI into engineering is on. What was experimental yesterday is becoming standard practice tomorrow. Are you equipped to lead the change, or will you be playing catch-up?

We're launching the Building the Future: AI Engineering Bootcamp, a 3-session series designed to turn AI hype into real-world ex*****on for manufacturing leaders.

We're bringing together top AI practitioners and industry leaders from Autodesk, nTop, Synera, Onshape, and SimScale to give you the exact tools, frameworks, and insights to:

- Cut design cycles by up to 70%

- Massively reduce prototyping costs

- Scale innovation across your entire team

And it all kicks off very soon... Session 1 is just around the corner! 🚀

📅 When: October 28, 2025 | 4:00 p.m. CET / 11:00 a.m. ET

This first session dives straight into the core issues:

- The Real State of Industrial AI: Get exclusive data from SimScale’s new report.

- Tackling Bottlenecks: Move past high prototype costs and long design cycles.

- Customer Spotlight: Hear directly from Armin Narimanzadeh of Convion on how they use Physics AI to accelerate sustainable power system design.

- You'll also get insights from Michael LaFleche (Onshape) and Steven Laine (SimScale).

This isn't just another webinar. This is your playbook for the future of engineering.

Don't miss out on the session that will set the tone for your AI strategy.
✔️ https://hubs.la/Q03PG3s60

20/10/2025

The race to build faster, smarter electric vehicles is pushing engineers to rethink traditional simulation workflows. Join experts Diego Paterna (Schaeffler) and Ioannis Tsavlidis (SimScale) as they explore how AI and cloud simulation are transforming design, validation, and collaboration across the EV supply chain.

🗓 November 5, 2025
🕓 4pm Stuttgart | 8:30pm Mumbai | 10am Detroit

💡 Key takeaways:
How AI-driven methods overcome limits in traditional CAE workflows
Practical steps to integrate AI and cloud into engineering processes
What’s next: from assisted to autonomous simulation

👉 Register here: https://hubs.la/Q03PgQWB0

17/10/2025

Engineering for critical moments means leaving nothing to chance. For ambulance manufacturer Crestline Coach, validating a complex HVAC system was a high-stakes challenge where failures directly impacted patient care.

Their traditional process of building and testing full-scale physical prototypes was slow, expensive, and offered limited insight into complex airflow and thermal issues. To accelerate their timeline and de-risk development, Crestline adopted a simulation-driven workflow. Using SimScale their engineers were able to:

✔️ Front-load analysis, moving from a reactive "build-and-test" model to a predictive one.

✔️ Virtually test dozens of design iterations in parallel, visualizing every vortex and hot spot without needing specialized hardware.

✔️ Leverage Convective Heat Transfer analysis to rapidly optimize a novel air mixer, achieving over 80% thermal efficiency in a compact space.

The outcomes were definitive. Crestline reduced its overall design cycle by 30% and cut physical prototyping costs by more than 60%. The final, optimized design passed all performance standards on the very first physical test.

Learn more: https://hubs.la/Q03P55Tq0

16/10/2025

💡 Your engineering workflow in 2026 will look radically different. The question is, are you building it today?

We’re bringing together top industry leaders to share practical, battle-tested strategies on how AI is transforming design, simulation, and product development. From cutting design cycles by up to 70% to scaling AI workflows across teams, these sessions aren’t about theory, they’re about real ex*****on you can apply immediately.

Join us to:

✔️ Unlock faster product design: Learn how AI can accelerate optimization and prototyping cycles.
✔️ Break down team silos: Discover ways to scale AI across engineering teams without data bottlenecks.
✔️ Automate repetitive workflows: Free your engineers to focus on innovation, not manual tasks.
✔️ Leverage generative and agentic AI: Explore real use cases for design, simulation, and process automation.

Spots are limited—don’t miss the chance to kickstart your AI journey for 2026! Register today: https://hubs.la/Q03NTwLk0

10/10/2025

What if you had an AI teammate that handled all the tedious, repetitive parts of your job?

Every engineer knows the two biggest project killers:

⏱️ Simulation Lead Time: All the tedious CAD prep and manual setup. (The boring part)

🔃 Simulation Cycle Time: The hours you spend waiting for solvers to finish. (The waiting part)

We're fighting back with a two-pronged AI strategy. Think of it like this:

💡 Engineering AI is your new autonomous teammate that handles all the boring setup work for you.

Physics AI gives you performance predictions in seconds, so the waiting game is over.

The result? You can explore dozens of design variations in the time it used to take to run just one. You get to skip the tedious prep and the long waits to focus on what you do best: innovating.

Learn more in our latest blog post! https://hubs.la/Q03N3rzl0

07/10/2025

Simulation shouldn't be a bottleneck. It should be an accelerator.

When simulation is limited to a few experts, it slows down your entire design process. Good ideas get stuck in queues, and crucial insights arrive too late.

We're changing that by putting the full power of simulation and AI into the hands of every engineer. Here’s how it works:

🔹 Cloud-Native Physics: Run CFD, FEA, & EM simulations with no special hardware.
🔹 Instant AI Insights: Get performance predictions in seconds, not hours.
🔹 Scalable Expertise: Use expert-built templates for consistent, accurate results.
🔹 Unified Team: Collaborate on a single platform, ending data silos for good.

The outcome is simple: faster innovation, reduced costs, and better products.

Ready to empower your entire design team? See these principles in action: https://hubs.la/Q03MtM7p0

01/10/2025

Our integration with Violet Labs connects your live engineering data directly to your SimScale simulations, enabling your analyses to automatically re-run whenever an input variable changes.

This means you can:
✅ Eliminate manual data management.
✅ Ensure your results are never stale.
✅ Accelerate product delivery by creating a continuous, interconnected workflow.

See how it works: https://hubs.la/Q03LGNsC0

30/09/2025

For engineering teams in urban development, speed and clarity are everything. But what happens when a detailed analysis flags a critical wind comfort issue right before a planning deadline?

We explored this exact scenario in a recent discussion with IN2 team. Their main challenge was turning complex wind analysis into quick, actionable feedback for architects, without sacrificing accuracy by simplifying the model.

💪 With SimScale, they eliminated that trade-off. Leveraging the cloud-native PWC analysis, they can run high-fidelity simulations on fully detailed designs without time-consuming simplification. The platform automates the analysis for all required wind directions and generates easy-to-understand visualizations based on the Lawson Criteria.

📈 This workflow empowered them to achieve rapid design iterations, including every single architectural detail for a more thorough analysis. As a result, they can work collaboratively with architects to solve problems, like relocating uncomfortable balconies, in hours, not days, ensuring projects meet deadlines and comfort standards.

Thank you, William O’Donnell and Katy Moran, for the fantastic chat! It's inspiring to see how you're creating more comfortable urban spaces.

Explore their full story here: https://hubs.la/Q03Lsw0K0

25/09/2025

We've been talking about the potential of AI in engineering for years.
But what we hear directly from engineering teams is a different story. They're still bogged down by manual handoffs, R&D bottlenecks, and the pressure to deliver proposals faster than ever.

Our recent survey of 300 engineering leaders confirmed this disconnect: while the ambition is high, only 7% have mature AI programs delivering significant value.

So, how do you move from ambition to action?

In our new article, we cut through the noise and explore the practical applications making an impact today. We show how AI Agents can become a true co-pilot for your team, helping to:

🤖 Automate RFQ responses to win more bids, faster.
🚀Accelerate R&D with massive-scale virtual testing.
🤝 Empower every engineer with guided, expert-level simulation tools.

For a deep dive into all the practical use cases, read the full article here: https://hubs.la/Q03KXJtJ0

What's the one manual task you'd love an AI to take over? Share in the comments! 👇

23/09/2025

🚀 Our next webinar is just around the corner

Tomorrow we will go live with industry leaders David Heiny (SimScale), Ian Pegler (NVIDIA), Martin Meingassner (Hirschvogel E-Solutions) to share a practical blueprint for scaling AI in engineering.

You’ll discover how to move from AI pilots to production with insights on:

✅ Where AI naturally fits into today’s engineering workflows
✅ How Physics AI delivers reliable predictions early in design
✅ How Agentic AI scales best practices across teams
✅ Why foundation models and open infrastructure enable adoption at any size
✅ A roadmap to help teams shift from experiments to trusted, production-ready AI

💡 Whether you’re part of a small team looking for quick efficiency gains or a global enterprise aiming to transform at scale, this session will give you actionable strategies you can put into practice right away.

👉 Secure your spot: https://hubs.la/Q03KvnQq0

19/09/2025

What an incredible week at Autodesk University! 🚀

SimScalers Andrew Acuff and Kerrigan Ward have been on the ground showing how AI-driven simulation is redefining what’s possible in engineering. From hands-on project explorations to in-depth conversations, it’s been inspiring to see how the community is embracing the future of design and make.

Here’s what we’ve been sharing:

✅ How the latest advancements in AI + simulation are breaking down barriers in product design and development.

✅ How our new partnerships are expanding innovation across industries.

✅ Ways to turn simulation data into a true competitive advantage.

✅ Smarter, faster, and more efficient workflows powered by the cloud.

Thank you to everyone who stopped by, your questions, insights, and curiosity made this week unforgettable. Let’s keep building the future of engineering together. 💡✨

17/09/2025

How does a global leader like Siemens Energy push the limits of thermal performance in 3D-printed parts? By tackling the biggest bottleneck in computational design: simulation turnaround time.

In their quest to optimize complex heat exchangers, they faced hours of pre-processing for massive geometry files. The solution was a powerful, integrated workflow:

🔹 nTop for advanced implicit modeling of TPMS structures.
🔹 SimScale for cloud-native Conjugate Heat Transfer (CHT) simulation.

The game-changer? SimScale's native nTop integration allows simulation directly on the implicit model, cutting import and pre-processing from hours to minutes.

The results speak for themselves:
✅ 30% reduction in design iteration turnaround time.
✅ Elimination of the pre-processing bottleneck.
✅ Massively parallel design validation on the cloud.

As Computational Designer Markus Lempke puts it, this is "a real step change in speed and robustness" needed to unlock the potential of additive manufacturing.

Read the full case study here: https://hubs.la/Q03JJDHH0

Adresse

Ridlerstrasse 31 B
Munich
80992

Telefon

+4989809132770

Webseite

https://www.simscale.com/

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