In NAVAIS, Dassault contributed modular and platform-based design tools for next-generation ship and workboat development, enabling standardised, customer-decoupled product architectures in maritime transport.
DASSAULT SYSTEMES DEUTSCHLAND GMBH
German Dassault Systèmes subsidiary contributing industrial PLM software and AI simulation platforms to EU transport and battery materials consortia.
Their core work
Dassault Systèmes Deutschland is the German subsidiary of the global 3D software and simulation company behind CATIA, SOLIDWORKS, SIMULIA, and the 3DEXPERIENCE platform. In EU research projects, they contribute commercially validated, industry-standard design, simulation, and product lifecycle management (PLM) tools as enabling infrastructure — allowing research consortia to model, test, and iterate on complex engineering systems digitally. Their H2020 participation spans ship design standardisation and AI-driven materials discovery for battery research, demonstrating the cross-domain reach of their simulation and platform technologies. They function as a bridge between industrial-grade software capability and frontier research workflows.
What they specialise in
In BIG-MAP, they participate as a funded partner applying artificial intelligence and machine learning within a materials acceleration platform targeting the entire battery value chain.
NAVAIS addressed low-impact ferries, workboats, and underwater radiated noise — domains where Dassault's simulation tools (e.g., SIMULIA) provide high-fidelity acoustic and structural analysis capabilities.
How they've shifted over time
Their earliest H2020 involvement (2018, NAVAIS) was firmly anchored in transport and shipbuilding — modular design, platform architecture, ferry standardisation, and acoustic noise reduction — classic PLM and engineering simulation territory. By 2020, their focus shifted markedly toward AI-driven materials discovery with BIG-MAP, a flagship EU initiative on battery interfaces and accelerated materials research using machine learning. The trajectory points clearly from traditional engineering design tools toward AI-augmented simulation and materials informatics.
Dassault Systèmes Deutschland is moving from pure engineering simulation toward AI-augmented research platforms, making them an increasingly relevant partner for projects at the intersection of materials science, battery technology, and digital research infrastructure.
How they like to work
They join projects as specialist contributors rather than coordinators — appearing as third party in NAVAIS and as a funded participant in BIG-MAP, with no coordinator roles in the H2020 data. Despite only two projects, they connect into very large consortia: 59 unique partners across 17 countries, suggesting they are brought in for their software platform expertise while other partners drive scientific coordination. Working with them means gaining access to industrial-grade tooling, but expect them to operate in a supporting rather than leading capacity.
Dassault Systèmes Deutschland has engaged with 59 unique consortium partners spanning 17 countries — a network breadth that far exceeds what their two-project H2020 footprint would suggest. This indicates they plug into large, internationally distributed consortia where their software platforms serve multiple research teams simultaneously.
What sets them apart
Unlike academic or public research organisations, Dassault Systèmes brings commercially validated, industry-standard software platforms directly into research consortia — credibility no university partner can replicate. Their Stuttgart base places them at the heart of European engineering and automotive manufacturing, with established relationships across the industrial supply chain. For consortium builders, this means findings validated on Dassault tools are immediately transferable into industrial production pipelines — a clear path from research to deployment.
Highlights from their portfolio
- BIG-MAPOne of the largest EU battery research initiatives (2020-2024), BIG-MAP targets AI-accelerated materials discovery across the full battery value chain — Dassault's funded participation signals a deliberate strategic move into AI-driven scientific research platforms beyond their traditional engineering domain.
- NAVAISA transport innovation project targeting next-generation ship design through modular, platform-based architecture — Dassault contributed as third party, demonstrating their role as software infrastructure enabler in large engineering consortia without requiring direct project funding.