From mathematics to analytics models

15.05.2018 08:37
Big data

EPFL startup L2F is using algebra and topology to enhance machine learning across a wide range of fields. The startup received a seed loan of CHF 100’000 seed loan from FIT to progress to the next stages of development.

Learn to Forecast (L2F) is specialising in the conception, the development and the maintenance of complex predictive models. With advanced mathematical techniques, L2F supports large companies and public institutions in complex decision-making processes, by studying large data sets and providing them with the best-suitable analysis tools based on Algebraic Topology.  

Thanks to this approach, the EPFL based startup is among the world’s first companies to study and apply concepts coming from pure mathematics with the objective to model and understand the shape of data.

Clients from the financial and insurance industries
The startup’s solution is applicable across a wide range of fields such as in dynamic pricing, fraud detection, predictive maintenance, algorithmic trading, risk assessment and distribution systems. Two major clients from the financial and insurance industries are already using the solution.

Currently, L2F is run by a team of 14 members and has been awarded the FIT seed loan to facilitate further development of the company. This type of loan is granted to promising young companies of Western Switzerland in phase of prototyping and commercial development.

(Press release/ran)

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