Tampere, Finland, 1.12.2024

Quanscient, a startup based in Tampere, Finland and founded in 2021, is launching Quanscient Allsolve, a cloud-native B2B software-as-a-service (SaaS) multiphysics simulation platform utilizing the cloud computing power of AWS to accelerate the speed of physics simulations by over 100x. AWS computing power coupled with Quanscient scaling algorithms allows the simulation of detailed designs without the need for simplified models. Faster and more accurate simulations can enable companies to bring their product to the market months faster. Quanscient is also building quantum computing algorithms to accelerate simulations even further, and eventually create accurate digital prototypes that could, in many cases, replace physical prototypes.

Existing multiphysics simulation tools, often built on outdated technology, struggle to meet the demands of modern engineering. These legacy tools lack the cloud infrastructure and flexible licensing needed for efficient and scalable simulations.

With Quanscient Allsolve as a cloud-native solution, the user can run as many simulations as needed, never having to worry about over/under-planning computational resources. Quanscient’s multiphysics capabilities include robust features for computational electromagnetics, computational fluid dynamics, solid mechanics, and any combination of these. Quanscient’s Domain Decomposition Method (DDM) -based scaling, where users split the simulation domain to multiple individual CPUs in the cloud, offers parallel performance with over 1000 CPUs providing over 100x speedups for simulations. Quanscient further provides the capability to run in parallel as many simulations as needed, e.g., for parametric sweep and optimization tasks. And as Quanscient’s cloud-scaling capabilities are powered by AWS EC2 instances and AWS Batch elastically, capacity is not a limiting factor. 

Quanscient’s cloud APIs offer an enabler to automate and integrate simulations directly into the product design workflow removing the need for moving CAD and simulation files around. For example, the user may create the first simulation model using Quanscient’s GUI and then utilize the API to create hundreds or even thousands of variations for that simulation for parametric sweeps and optimization simulations. Furthermore, sharing the simulation results is as simple as sharing a link - no file transfers are needed!

Klaus Eibensteiner, the Team Lead of Engineering at kiutra, a German technology company building cryostats for quantum hardware, said: “Quanscient Allsolve made our hardware iterations much more reliable and functional speeding up the development process by requiring fewer hardware iterations to get to a finalized product.”

Juha Riippi, CEO of Quanscient, said: “Many of our customers are facing situations where they need to wait for simulation results for days because of lacking cloud scaling capabilities. We can take this from days to coffee breaks utilizing thousands of AWS EC2 instances that are launched on demand using AWS Batch. And with quantum technology on the horizon, this can be reduced even further. Our vision is to enable a completely digital product design workflow with our digital prototype simulations. We believe that this will also require high levels of automation. You could kind of think of it as a Continuous Integration System for hardware products. Any time a change would be made, simulations could be triggered to be run automatically.”