SimScale launches Engineering AI Blueprint with NVIDIA Technologies
- The blueprint has been created to provide CTOs with the reference architecture they need to scale, using learnings from real-world engineering projects and customer deployments.
- It outlines four founding principles for a new process: exploration is to replace selection, proof will move earlier, physical tests are to become confirmation, and AI intelligence will compound with every run.
- It also maps where NVIDIA technologies, including NVIDIA Nemotron, NVIDIA PhysicsNeMo, and NVIDIA NeMo Agent Toolkit, fit into the architecture.
MUNICH, Thursday 12th November, 2026: AI-native engineering simulation platform, SimScale, has today launched the Engineering AI Blueprint to provide CTOs and engineering leaders with the reference architecture they need to scale AI agents successfully. The blueprint incorporates NVIDIA technologies for accelerated computing and physics AI models and tools.
Moving from AI pilots to organization-wide deployment is a major step, especially when engineering agents are taking on complex design workflows. The blueprint uses learnings from real-world engineering projects and customer deployments to build a practical framework for scaling autonomous Engineering AI.
The blueprint argues that existing Verification and Validation processes (V-model) commit designs too early and prove them too late, and that this gap drives cost. In one study cited, decisions made before design freeze set 86% of expected program cost, and late-found concept defects took about 13 times more rework. Instead, the Engineering AI Blueprint outlines a new process where exploration replaces selection, proof moves earlier, physical tests become confirmation and the intelligence of AI agents compounds with every run. It also sets out where the red line for agent autonomy should sit.
David Heiny
CEO and Co-founder, SimScale
“Moving engineering AI from pilot to utility can be a big shift. You’re moving to a new operating model, with shared AI capabilities embedded across engineering, smaller pods, shorter loops and a compounding knowledge layer. It’s on the same level as the shift to CAD/CAE, so organizations need to have a clear implementation strategy. And it’s critical organizations do not mistake autonomy for authority. Engineers must stay accountable for the work agents do.”
The blueprint outlines the toolstack layers autonomous workflows need, from orchestration to a knowledge layer the organization owns, and marks where NVIDIA PhysicsNeMo, NVIDIA Nemotron and the NVIDIA NeMo Agent Toolkit fit.
Steve Levay
Head of Product Marketing for AI Engineering, NVIDIA
“Scaling engineering AI requires a workflow where agents can explore design alternatives, test them against physics and use the results to guide the next iteration. With NVIDIA PhysicsNeMo and GPU-accelerated solvers, SimScale helps teams investigate designs that could otherwise be too costly or time-consuming to evaluate, identify better-performing options and reduce costly rework later in development.”
A survey of 350 engineering leaders in organizations with 1,000 employees or more, conducted by SimScale earlier this year, revealed that 99% of leaders expected tangible ROI from AI within 12 months. As 2026 progresses at speed, the blueprint maps how CTOs and engineering leaders can effectively measure the success of AI deployment.
David Heiny
CEO and Co-founder, SimScale
“Engineering is about to go through what software went through with coding agents, and it’s happening faster than anyone expected. The difference is that an engineering agent has to be right about physics. With NVIDIA libraries and tools, we’ve built the infrastructure that lets agents run for hours, explore thousands of designs and prove every answer before an engineer signs it off. The blueprint is our open playbook for every CTO who wants to get there first.”
To download the full Engineering AI Blueprint, visit www.simscale.com/engineering-ai-blueprint.
About SimScale
SimScale is the AI-native cloud platform for engineering simulation. Trusted by more than 900,000 users, SimScale empowers engineers everywhere to innovate faster by exploring 1000’s of engineering decisions in seconds. By integrating Engineering AI agents and Physics AI models with computational fluid dynamics (CFD), finite element analysis (FEA), electromagnetic, and thermal simulation in a single cloud platform, SimScale empowers teams to engineer the irreplaceable. For more information, visit www.simscale.com.
