Funding
Funding not disclosed
Founders
Product
Problem
Engineers and scientists often rely on conventional multiphysics solvers that require large computational resources, consume significant energy, and scale poorly with problem size, leading to long simulation times and delayed product development.
Solution
MPhysX offers a new class of multiphysics solvers built on quantum‑inspired algorithms. These algorithms accelerate the solution of coupled physical equations while reducing power consumption compared with traditional numerical methods. The solvers are designed to integrate into existing simulation workflows, allowing users to replace legacy components without extensive code rewrites. By improving performance and scalability, MPhysX enables faster iteration cycles for product design and research across sectors such as aerospace, automotive, and energy.
Target Audience
Primary customers are engineering teams and research groups in aerospace, automotive, and energy industries that require high‑performance multiphysics simulation capabilities.
Features
- Quantum‑inspired algorithmic core that delivers higher computational throughput for coupled physics problems
- Energy‑efficient execution model that lowers power draw relative to conventional solvers
- Scalable architecture supporting large‑scale simulations on standard high‑performance computing clusters
- Compatibility layer for seamless integration with common simulation platforms and data formats
- Modular design allowing selective activation of physics domains (e.g., fluid‑structure, thermal‑electromagnetic coupling)