What’s new?
Precision in multi-physics simulations, excellence in large-scale computational engineering.
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Explore Our Services
Advanced Engineering Solutions Tailored for Industry and Academia
Each service is designed to meet the precise needs of our clients,
ensuring optimal results through state-of-the-art techniques and
expert knowledge, underpinned by robust high-performance computing
capabilities.
HPC Code Development
Accelerate simulations and solve complex computational problems efficiently with high-performance computing.
Finite Element Analysis
Analyze mechanical response across diverse materials with advanced parallel and adaptive finite element methods.
IsoGeometric Analysis
Bridge CAD and CAE gap using advanced isogeometric techniques for enhanced accuracy.
Electromagnetic Simulation
Optimize electromagnetic performance across frequencies using precise simulation tools.
Topology Optimization
Improve performance and efficiency by optimizing material layout within design spaces.
Failure and Fracture Modeling
Foresee and design against material failures and cracks through precise predictive analysis.
Learn about our
Key Capabilities
We are leaders in developing dynamic adaptive solvers, conducting
detailed multi-scale and multi-physics simulations, and managing
advanced large-scale parallel computing operations.
Space and time adaptive solvers
Our technology is equipped with adaptive solvers that dynamically
adjust mesh and time steps in response to simulation demands. This
capability ensures that we deliver both precision and efficiency,
optimizing resources while capturing critical dynamics accurately.
Multi-scale and multi-physics simulations
We specialize in integrating diverse physical processes across
varying scales, from molecular to macroscopic. Our simulations
address complex interactions within systems, providing detailed
insights that inform and drive innovation across industries.
Large scale parallel computing
We utilize high-performance computing environments to execute
large-scale simulations that would otherwise be infeasible due to
computational resource requirements.