Our Insights

At Inductiva, we are committed to supporting academic teams that are tackling real-world engineering challenges through simulation. MotoStudent FEUP, a student-led team, is building an electric racing motorcycle for the MotoStudent Electric competition, a project requiring advanced CFD (Computational Fluid Dynamics) to analyse how aerodynamics would affect the motorcycle’s speed, stability, and structure.

The Inductiva Team

MotoStudent FEUP

At Inductiva.AI, our mission is to empower engineers and scientists to solve complex physical problems at scale. Recently, we partnered with the Porto Space Team, a student rocketry group designing a novel airbrake system for their EuRoC competition rocket, a project requiring advanced CFD (Computational Fluid Dynamics) analyses over a wide transonic regime.

The Inductiva Team

Porto Space Team

Inductiva API v0.14 introduces GPU-powered numerical simulations, real-time output monitoring, seamless AWS exports, and an expanded set of built-in simulators, enhancing high-performance computing (HPC) for scientific research. With GPU acceleration now available, users can leverage parallel computing for faster, large-scale simulations, significantly reducing runtime and boosting performance in molecular dynamics, CFD, fusion energy, and AI-driven physics modeling.

The Inductiva Team

Discover the 3D model mesh resolution threshold that still yields stable and dependable estimations of physical properties in engineering simulations.

Ivan Pombo

Maya Hershey