Case Study: skyTran achieves faster, more accurate full-scale simulation with Quanscient Allsolve

skyTran cuts simulation time from 3 weeks to 8 hours with Quanscient

skyTran, a company developing a personal mass transit system using maglev technology, faced challenges in simulating its complex electromagnetic systems. Their large-scale simulations were incredibly resource-intensive, taking up to three weeks and lacking the desired accuracy. They needed a solution capable of full-scale device modeling that was both powerful and user-friendly. This led them to partner with Quanscient and adopt its Quanscient Allsolve platform.

By implementing Quanscient Allsolve, skyTran achieved a dramatic reduction in simulation time from three weeks to just eight hours. The accuracy of the simulations also improved significantly, moving from within 10% to within 3% of experimental data. The cloud-based Quanscient solution enabled scalable, full-scale modeling and a smoother workflow. These improvements from Quanscient provided substantial time and cost savings, transforming skyTran's development process.

skyTran