Empower your team with agentic-AI engineers

DeepFluid automates CFD and FEA simulations to remove repetitive tasks.

From geometry processing through simulation.
Guided by humans. Executed by agents.

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AI Engineers

Full Coverage.

From prompt to production-ready engineering results

Fluid Simulation Specialist

Your AI Engineer for CFD

OpenFOAM automation expert. Handles case setup, mesh generation, turbulence modeling, and post-processing for all CFD tasks.

  • Multi-phase flow & heat transfer
  • RANS, LES & DES turbulence models
  • Parametric studies & optimization
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Structural Analysis Specialist

Your AI Engineer for FEA

CalculiX & FreeCAD workflow expert. Automates CAD-to-FEA pipeline for static, modal, and fatigue analysis.

  • Stress & displacement analysis
  • Modal & vibration analysis
  • Fatigue life prediction
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The DeepFluid Process

How It Works

Step 01

Define

Describe your simulation requirements in natural language. The AI engineer understands your goals and constraints.

D
DeepFluid Agent
I need to simulate airflow around a car body at 120 km/h...
Understanding requirements: External aerodynamics, incompressible flow, k-omega SST turbulence model recommended.

Step 02

Automate

The agent handles case setup, mesh generation, solver configuration, and execution automatically.

External Aerodynamics CFD Simulation External Aerodynamics
Particle Flow CFD Simulation Particle Flow

Step 03

Decide

Review results, analyze data, and make informed engineering decisions with AI-generated insights.

D
Results Summary
Drag coefficient: Cd = 0.32
Lift coefficient: Cl = 0.18
Recommendation: Consider rear spoiler modification for 8% drag reduction.

Let's Work Together

Ready to accelerate your engineering with AI?

Email

info@deepfluid.ai

Location

Stuttgart, Germany

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