Our name is inspired by the invisible numbers that form the symmetry we see in the world around us; from the spin of subatomic particles to the dizzying beauty of an Arabesque.
We aim to bring a new dimension to investing, using self-learning quant models and big data to assess the performance and sustainability of globally listed companies. Our rules-based approach to stock selection integrates ESG information with financial and momentum analysis, processing over 100 billion data points via 250,000 lines of code to construct our strategies.
Founded in 2013 following an independent management buyout from Barclays Bank, our firm has been built in cooperation with leading academics from universities including Harvard, Stanford, Oxford, Cambridge, Maastricht, and the German Fraunhofer Society.
Ours is a story of partnership between leaders in finance, mathematics, and sustainability working together to develop the next generation of asset management.