Explainable Complexity
R&D, consulting, training and events.
R&D
We develop statistical and machine learning models that must fit data while respecting constraints — liquidity or no-arbitrage constraints in portfolio construction, balance-sheet constraints in economic activity, physical constraints in spatial systems, and network constraints in socio-economic and financial systems.
Consulting
We navigate and simplify complex system dynamics, co-designing models that disentangle data dependencies and break complex problems into simple, generalisable and scalable models using state-of-the-art statistical, physical and machine learning tools.
Training
Tailored high-level courses, in-depth workshops and hands-on labs that help institutions and companies of every size access the best current methods, speed up their own processes and keep up with recent scientific advances.
Events
Entertaining activities that engage people, teams, communities and stakeholders beyond the purely technical — helping them ask the right questions, listen to each other, and turn answers into real change.