DEMO WEBINAR SERIES

Agentic Engineering for CFD Workflows: From Job Setup to Design Decision

On-demand

See how Rescale Agentic Engineering helps R&D teams answer engineering questions to validate results, generate actionable insights, and create reusable workflows. In this demo, you’ll see agents owning:

  • Context-aware job setup — Use enterprise standards, requirements, and technical knowledge to configure a simulation correctly.
  • Job orchestration — Clone jobs, apply changes, recommend hardware, and stage the next run.
  • Application-specific troubleshooting — Diagnose failures using persistent, solver-specific skills built by engineering experts.
  • Engineering analysis and recommendations — Generate reports, identify meaningful next steps, and extend a simulation campaign.
  • Workflow creation — Turn the demonstrated process into a repeatable workflow that combines jobs, data, decisions, and agents.

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What if AI agents could understand your engineering objectives, execute targeted simulation tasks, and guide the next decision?

For engineering leaders and simulation teams, the payoff is tangible: faster workflow turnaround and increased engineering productivity.


In this technical demo, follow a simulation engineer as they move from CFD job setup to actionable engineering insight: cloning and configuring runs, selecting hardware, troubleshooting failures, checking enterprise standards, generating insights, and launching a targeted design sweep.

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Who should attend?

  • CAE and simulation engineers looking to reduce setup and analysis overhead
  • Engineering leaders evaluating agentic AI for digital engineering workflows
  • IT and digital transformation teams harnessing organizational data sources for engineering decisions
  • Anyone else exploring how AI agents can support design validation and design exploration
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Meet Your Session Host

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Viktor Rozsa
Senior Solutions Architect for Data Intelligence and AI Physics

LinkedIn

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