SciTransfer
Organization

OPTIMAD ENGINEERING SRL

Italian SME providing adjoint-based optimization, reduced order models, and high-fidelity simulations for aerospace and industrial design.

Technology SMEtransportITSMENo active H2020 projects
H2020 projects
3
As coordinator
0
Total EC funding
€785K
Unique partners
41
What they do

Their core work

Optimad Engineering is a Turin-based SME specializing in computational engineering services for the aerospace and transport industries. They develop and apply advanced numerical methods — including adjoint solvers, reduced order models, and high-fidelity simulations — to optimize industrial designs. Their core value lies in bridging high-performance computing with practical aeronautical design challenges, helping manufacturers improve aerodynamic and structural performance through simulation rather than costly physical testing.

Core expertise

What they specialise in

Adjoint-based multidisciplinary optimization (MDO)primary
2 projects

Central to MADELEINE (large-scale industrial aeronautics design) and supported by computational methods in AEROGUST.

High-fidelity CFD and multi-physics simulationprimary
2 projects

MADELEINE explicitly targets HiFi simulations with multi-physics adjoint solvers; AEROGUST involved aeroelastic gust modelling requiring coupled physics.

Reduced order models (ROMs)secondary
1 project

ARIA project focused specifically on Accurate ROMs for Industrial Applications, a research staff exchange initiative.

High Performance Computing (HPC) for engineeringsecondary
1 project

MADELEINE lists HPC as a core keyword, indicating capability in large-scale parallel computation.

Aeroelastic and gust load analysissecondary
1 project

AEROGUST focused on aeroelastic gust modelling for aircraft design and certification.

Evolution & trajectory

How they've shifted over time

Early focus
Aeroelastic gust modelling
Recent focus
MDO and reduced order models

Optimad's early H2020 work (2015-2018) centered on aeroelastic gust modelling — a focused, application-specific problem in aircraft loads and structural safety. From 2018 onward, they broadened into general-purpose adjoint-based MDO and reduced order modelling, signaling a shift from solving one specific aeronautical problem to providing a wider computational toolkit applicable across industrial design domains. This evolution suggests growing ambition to become a versatile simulation and optimization provider rather than a niche aeroelasticity specialist.

Moving from application-specific aeronautics simulations toward general-purpose industrial optimization methods (ROMs, adjoint MDO), positioning themselves for broader engineering sectors beyond aerospace.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European11 countries collaborated

Optimad operates exclusively as a participant, never leading consortia — consistent with their size as an SME contributing specialized computational expertise to larger teams. With 41 unique partners across 11 countries in just 3 projects, they work in large, diverse consortia typical of EU aeronautics programmes. This pattern indicates they are valued as a technical specialist brought in for their specific simulation capabilities rather than for project management or coordination.

Despite only 3 projects, Optimad has built a surprisingly broad network of 41 partners across 11 countries, reflecting the large consortium sizes typical of EU transport and aeronautics research. Their base in Turin — a major European aerospace hub — gives them natural access to Italian and broader European aeronautics networks.

Why partner with them

What sets them apart

Optimad occupies a specific niche as a private SME offering high-end computational optimization services — a space typically dominated by university research groups or large aerospace primes. Their combination of adjoint solvers, reduced order models, and HPC expertise makes them a practical bridge between academic research and industrial product design. For consortium builders, they bring commercial engineering discipline to computationally intensive work packages without the overhead of a large corporate partner.

Notable projects

Highlights from their portfolio

  • MADELEINE
    Largest funding (EUR 352K) and most technically ambitious — targeting large-scale industrial MDO in aeronautics with adjoint solvers and HPC.
  • ARIA
    MSCA-RISE project on reduced order models for industry, signaling Optimad's expansion from pure aeronautics into broader industrial applications and academic-industry staff exchange.
Cross-sector capabilities
Manufacturing (design optimization, digital twins)Energy (turbomachinery and flow optimization)Space (aerodynamic and structural simulation)Digital technologies (HPC, computational methods)
Analysis note: Profile based on only 3 projects (2015-2019 start dates), all as participant. The technical picture is coherent — computational optimization for aerospace — but the small project count limits certainty about the breadth of their capabilities. No projects started after 2019, so current activity and direction outside H2020 is unknown.