Projects OPTEMUS (vehicle energy optimization), LoCoMaTech (lightweight vehicles), and UPSCALE (battery crash safety, crash simulation) all involve structural and crash CAE.
ESI EASTERN EUROPE SRO
Czech CAE simulation specialist providing crash, vibration, and AI-enhanced virtual prototyping services for automotive and aerospace industries.
Their core work
ESI Eastern Europe is a Czech subsidiary of ESI Group, specializing in computer-aided engineering (CAE) simulation and virtual prototyping for the automotive and aerospace industries. They provide advanced simulation services including crash modeling, aerothermal analysis, and high-frequency vibration prediction using methods like Statistical Energy Analysis (SEA). Their work focuses on replacing physical testing with virtual models, helping manufacturers reduce development costs and time-to-market. More recently, they have expanded into AI-enhanced simulation, applying machine learning to accelerate and improve engineering predictions.
What they specialise in
UPSCALE specifically targets machine learning and artificial intelligence applied to CAE, reduced order models, and high-performance computing for electrified vehicles.
VibSEA applies Statistical Energy Analysis to predict high-frequency vibrations in aircraft engines, combining experimental and simulation approaches.
MOTIVE (their only direct participant role) focused on multi-physics modeling of high-temperature engine valves for transport applications.
BOOST 4.0 explored big data value spaces for connected smart factories, extending their simulation expertise into Industry 4.0 territory.
How they've shifted over time
Their earlier projects (2015-2016) focused on conventional automotive engineering challenges — vehicle energy management (OPTEMUS) and lightweight material processing (LoCoMaTech). From 2018 onward, a clear shift emerged toward AI-enhanced simulation, high-performance computing, and digital methods applied to electrified and next-generation vehicles. The later projects also show a broadening from purely automotive crash simulation toward aerospace vibration prediction and multi-physics modeling.
Moving from traditional crash simulation toward AI-augmented virtual prototyping for electrified vehicles and aircraft engines — positioning themselves at the intersection of simulation and machine learning.
How they like to work
ESI Eastern Europe operates almost exclusively as a third-party contributor (5 of 6 projects), providing specialist simulation services to large consortia without taking on project management or coordination responsibilities. Their single direct participant role (MOTIVE) received modest funding (EUR 48,991), suggesting they contribute niche expertise rather than leading workpackages. With 104 unique partners across 18 countries, they are well-connected but function as a service provider brought in for specific technical tasks rather than as a consortium-building hub.
Connected to 104 unique partners across 18 countries through their consortium participation, though most connections come indirectly via their third-party roles in large Joint Technology Initiative projects in automotive and aerospace sectors.
What sets them apart
As part of the ESI Group ecosystem, they bring professional-grade simulation software and expertise that bridges academic research and industrial application. Their Czech location offers cost-effective access to high-level CAE skills for Western European automotive and aerospace OEMs. The combination of deep crash simulation heritage with emerging AI/ML capabilities makes them a practical partner for projects needing to modernize traditional engineering workflows.
Highlights from their portfolio
- UPSCALECombines AI, machine learning, and high-performance computing with traditional CAE for electrified vehicles — represents their most forward-looking technical direction.
- VibSEAExtends their simulation expertise from automotive crash into aerospace acoustic vibration prediction, showing cross-sector versatility.
- MOTIVETheir only project as a direct participant (not third party), focused on multi-physics engine valve modeling — indicates core competence in thermal-structural simulation.