We provides computational solutions for any company, operating in automotive, naval, mechanics, aerospace, biopharma, bioengineering, manufacturing, medical and several other fields. Thanks to the development and expertise in Reduced Order Modelling techniques, HPC, AI, Machine Learning, Digital Twin and Data Science we can provide you real-time computing solutions to boost your innovation needs, reducing computational time and costs.
Real-Time Computing Solutions
for your Development
Go fast and sustainable:
Ask for FAST!
Simulation of structural parametrisation:
Thanks to our expertise we were able to cut time and energy to simulate a complex model like a cruise ship
Time reduction: 100 times faster
Energy reduction: 80% less
Everything on a Desktop pc or a laptop
A Convolutional neural network to recognise and detect objects in a specific environment: thanks to our expertise we were able to cut time and energy to create and train a complex model
Time reduction: Over 70%
Energy reduction: Over 80%
Parameters reduction: Over 90%
How it works
Web Computational Platforms
We are developing two platforms to let you try the potentials
of reduced order modeling. Few easy prototype tutorials are available here.
ARGOS is the online platform for realtime scientific computing for industrial applications.
ATLAS is the online platform for realtime scientific computing in biomedical applications.
Meet the Team
FAST Computing is a SISSA - Scuola Internazionale Superiore di Studi Avanzati - Startup born within SISSA mathLab, an applied mathematics Lab devoted to develop computational technologies. In the last years, thanks to a grant of 1.6M€ by the European Research Council, we developed AROMA-CFD project, creating many software libraries based on reduced order modelling, which represents our solution for real time simulation. In 2022 we won an ERC PoC award to develop ARGOS, a new web-platform which supplies real-time solutions available on every kind of device.
Give a look at SISSA mathLab website to see our background
Some of our Partners
Live Demo: Simulation Speed Comparison
In the comparison slider below, you can see a glimpse of the work we do FAST Computing. The original model takes a full 5 minutes to simulate just one second, while our FAST Computing Reduced Order Model (ROM) accomplishes the same task in 0.1 second of CPU time. This remarkable 50x increase in simulation speed represents a significant advancement, with the potential to improve efficiency and save valuable time and resources across various applications.