for your Development
We provides 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, AI, Machine Learning and Data Science we can provide you real-time solutions to boost your innovation needs, reducing computational time and costs.
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
Reduced Order Model
We have developed many libraries based on ROMs. This technology aims to provide solutions with low compulational complexity, which means less energy and less time.
We integrate our techniques with Artificial Intelligence and Machine Learning, two powerful tools to improve results.
We explore several data-driven algorithms to improve the results.
Web Computational Platform
We are developing two platforms to let you try the potentials
of reduced order modeling
ARGOS is the online platform for the reduced order scientific computing framework ITHACA
ATLAS is the online platform to
reduce the scientific computing for biomedical applications
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