AI Autopilot for CFD & Structural Analysis on AWS
Fovus benchmarks every structural, thermal, and fluid solve, then auto-assigns the right AWS instance and Spot strategy — so simulations run at full license utilization, not queued behind one shared config.
The challenges
Engineering teams running structural, thermal, CFD, and multiphysics simulations lose real time to cloud logistics before a single solve begins — exploring HPC strategies, choosing hardware, configuring clusters. A strategy that fits one workload, like a multi-body dynamics sweep, can be a poor fit for another, like a large structural analysis run, so teams without workload-specific strategies end up with long runtimes and high cloud costs. On top of infrastructure complexity, commercial solver licenses are shared across large engineering teams — license competition and over-usage cause failed simulations and idle time individual users can’t see coming, and dynamic license availability makes it hard to provision or scale cloud infrastructure to match.
How we help
Fovus benchmarks every analysis type — structural, thermal, CFD, multiphysics — against representative inputs, revealing how hardware choice and parallelism affect runtime and cost for that specific workload, free of charge.
Based on that benchmark data, Fovus auto-determines the optimal instance type and configuration to minimize runtime and cloud cost for each simulation — with zero manual tuning required.
Custom license queues, defined by an administrator, rank and deploy jobs according to license availability, current usage, and each workload’s consumption profile — auto-balancing usage so teams stop competing for the same seats.
Fovus auto-scales cluster size and parallel tasks according to software license availability and admin-defined constraints, maximizing license utilization while avoiding license-induced simulation errors.
Administrators get visibility into how different users and software utilize licenses over time — the data needed to plan capacity instead of guessing.
Deploy via a single CLI command or a few clicks in the web UI. No cloud or cluster management needed — pay only for runtime, and migrate on-premises workloads without re-architecting them.
The numbers behind the Autopilot
What engineering teams see running CAE simulations on Fovus and AWS
30%
Higher team innovation productivity, freed from cloud logistics and license coordination.
$6M
Employment cost saved per 100 engineers, per year.
4.5x
Faster structural analysis simulation runtime.
Business Impact
Engineering teams running structural analysis and multiphysics simulations on Fovus are seeing real results — Komatsu, the world’s second-largest heavy equipment manufacturer, migrated 100% of its production CAE workloads to the cloud, lifted team innovation productivity by 30%, and now runs multi-body dynamics simulations 3x faster at 4x lower cost.
Your next simulation could be next.
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