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

Everyone’s talking about LLMs, but the real next wave is AI for the physical world—AI that understands fluid dynamics, thermodynamics, electromagnetism, and even quantum physics. From breakthroughs like DeepMind’s AlphaFold in protein folding to NVIDIA’s AI weather forecasting, industries from renewable energy to materials science are being transformed. But experimental data isn’t always enough; numerical simulations are crucial to generate high-quality datasets that power scientific AI. At Inductiva.AI, we’re offering a computational platform to democratize physics dataset generation, combining open-source simulators with cloud HPC, making it as easy as running a Python script. Explore how AI and scientific computing are converging—and what it means for the future of innovation.

Hugo Penedones

Struggling to compile FVCOM? Our step-by-step manual tackles common errors and provides solutions for running FVCOM on a modern machine.

Maya Hershey

Paulo Barbosa

Discover how you can tap into Inductiva API´s functionalities to package and share your complex simulation applications, allowing others to make use of them without requiring in-depth domain knowledge or having to set up their own computational resources.

Maya Hershey

Rodrigo Valério

Hugo Penedones

Luís Sarmento