
AI-Enhanced Simulations at Scale
Sector-focused business cases for deploying GPU-accelerated, AI-assisted CFD simulation — prepared for engineering leadership and C-suite stakeholders.
Same-day or few-day simulation turnarounds
Eliminate meshing and HPC procurement bottlenecks
$10M+ annual savings per programme — from €1
Six sector-specific PDFs, each covering industry cost benchmarks, ROI projections, relevant physics templates, and a suggested 90-day adoption roadmap. Click "Request this brief" on any card to pre-fill the form below.
5 validated templates · vortex transport to turbulent aerofoil wakes
Shock capturing, boundary layers, and turbulent wakes on GPUs
Browser-based, same-day runs — no meshing suite or HPC procurement
High-order accuracy verified on Euler-vortex and Taylor–Green benchmarks
4 validated templates · bluff-body wakes, boundary layers, turbulence
Predict vortex shedding, wake drag, and aeroacoustic tones
Scale-resolving external aero without CPU-era wall times
From a browser — no local CFD install or HPC procurement
7 validated templates · turbulence, shocks, VIV, wall-bounded flow
Predict vortex-induced vibration on tubes, stacks, and conductors
Resolve compressible shocks and turbulent flow on enterprise GPUs
Every documented benchmark maps to an energy asset
2 validated templates · wall-bounded shear & compressible shock flow
Wall-bounded shear and pressure-loss physics via Couette flow
Compressible, shock-containing internal flow via the viscous shock tube
GPU-accelerated, browser-based, AI-assisted case setup
1 validated template · bluff-body vortex shedding & VIV
Predict riser and mooring VIV from shedding frequency and unsteady lift
Right-size strakes and fairings before at-sea trials
High-order incompressible wake dynamics on GPUs
1 validated template · shock reflection & compressible blast flow
Model shock reflection and compressible blowdown/blast physics
High-order shock capturing on unstructured GPU meshes
Browser-based runs with AI-assisted configuration
Select your sector and we will email the full PDF — including industry-specific cost benchmarks, ROI projections, and a suggested 90-day adoption roadmap.
2 validated templates · wall-bounded shear & compressible shock flow
Wall-bounded shear and pressure-loss physics via Couette flow
Compressible, shock-containing internal flow via the viscous shock tube
GPU-accelerated, browser-based, AI-assisted case setup
SRS brings the high-order, GPU-accelerated PyFR engine to manufacturing engineering teams from any browser, with AI-assisted case setup and no meshing or HPC bottleneck. The documented manufacturing templates cover two foundational regimes: the 2D Couette flow for wall-bounded viscous shear — the physics behind coating, lubrication, and narrow-gap passages — and the 2D viscous shock tube for compressible, shock-driven internal flow relevant to forming, pressure relief, and rapid-transient processes. Built on the open PyFR engine — a peer-reviewed, high-order Flux Reconstruction code for scale-resolving simulation of turbulent flows on unstructured meshes — SRS delivers deterministic solutions to the governing flow equations that engineering and process reviewers can audit parameter by parameter. SRS shortens the path from an engineering question to a defensible, simulation-led answer and reduces the CFD-specialist queue that gates analysis today.
Request the full industry brief PDF via the form on the right — it will be emailed to you directly.
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