HIGH SPEED AI-DRIVEN ENGINEERING SIMULATIONS FOR ADVANCED PRODUCT DEVELOPMENTbroad
SpeedAPP · Horizon Europe grant · 2026-04-01–2028-11-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2025-TRANSITIONOPEN · scheme HORIZON-EIC · topic HORIZON-EIC-2025-TRANSITIONOPEN. CORDIS record →
Objective
New product development is crucial for companies to maintain a competitive edge. Over the next 5 years, one-third of revenues in industries in sectors like automotive, energy, aerospace, and manufacturing is forecasted to come from new products, translating to €30 trillion in value. At the core of product development is numerically solving complex partial differential equations (PDEs) for heat transfer, elasticity, fluid flow. etc. While established methods such as finite element analysis (FEA) offer high precision, their computational cost rises rapidly with problem complexity.The SpeedAPP innovation is a result of the ARGOS project by SISSA, from which FAST Computing spun off. SpeedAPP harnesses reduced order modelling (ROM) and neural operators to accelerate the simulation process, while maintaining high accuracy level. Neural operators enable real-time prediction of solutions by directly mapping initial and boundary conditions to the desired output fields, drastically reduces computational costs. SpeedAPP thus provides a 100x to 250x speedup compared to traditional numerical simulation methods, such as FEA, which are still widely used across industries.Compared to other ROM and neural operator solutions, SpeedAPP’s novelty lies in our graph neural operators (GNOs), which are highly generalizable. The generalizability is enabled by our breakthrough approach of a fully Bayesian, scalable, and accurate autoregressive model and message passing.Through PoC validations with several industrial partners, SpeedAPP showed the potential for 60% shorter product design cycles, 20-25% reduction in material usage and product costs, and manufacturing processes with 20% less energy use. EIC Transition support will enable us to bring our impactful solution closer to market. In this project we will advance the technology’s maturity, validate the business model, and engage additional potential customers and channel partners in preparation for commercialization.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| FAST COMPUTING SRL SOCIETA' BENEFIT | IT | coordinator | €2,431,625 | Yes |
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