Swiss company EdgeLab aims to help cut IT and operating costs as much as sixfold compared with existing solutions and to calculate and analyse around 300 times more factors in risk modelling.
The current market environment is fuelling demand for professional digital portfolio and risk management. Devising appropriate solutions requires extensive expertise in parallel computing, big data, risk modelling and digitisation.
This is where Switzerland’s Edge Laboratories (EdgeLab) comes in, providing its clients with software solutions that can be integrated in or connected to existing structures, according to a press release from Thursday.
Simulated Scenarios
By developing these new models, the only ones of their kind on the market, external shocks and numerous other scenarios can be simulated down to the tiniest detail.
Many instances of capital market turmoil, such as those in 2008, could have been cushioned or negated using these new models.
More Than a Billion Datasets
The latest generation of such models, which were developed together with scientists from ETH Lausanne (EPFL Lausanne), systematically cover over a million investment instruments.
They also aggregate more than a billion external datasets every day and analyse risks in over 500,000 dimensions, making them 300 times more powerful than those currently in use.
EdgeLab is a fintech startup established in 2013 in Pfäffikon and Lausanne by a team of investment and risk management specialists and software engineers.
