Two decades at the crossover of quantitative finance, economics and geopolitics — from central banking and capital markets to advising hedge funds, governments and global institutions — led to a single conviction: that foresight could be engineered. Multipolarity AI is the result: AI and deep human expertise combined to turn economic and geopolitical complexity into signal decision-makers can act on.
The platform did not appear from nowhere. More than a decade ago, Alexandre Kateb was among the first to frame multipolarity as the coming world order — the thesis the G7, and Washington in particular, once dismissed and now adopt. It is that same foresight, distilled from a career advising institutions that could not afford to be wrong, now engineered into a system.
Banking Supervisor and Financial Economist — at the heart of financial stability and supervision.
Senior Economist, then Chief Economist and Group Head of Research — turning macro and geopolitics into cross-asset investment strategy.
Quantitative, risk and strategic advisory worldwide — quant-finance, risk-management and machine-learning / data-science engagements for global-macro hedge funds, clearing houses and investment banks (including the BNP Paribas Group and LCH Clearnet), alongside economic and strategic advisory for the World Bank, the International Labour Organization and the European Commission.
Teaching International Economics and Finance at one of France’s leading institutions.
Advising on the architecture of next-generation markets — including the roadmap for a crypto-backed digital haven and commodities exchange for an African government — and tracking the on-chain frontier where prediction markets, perpetuals, stablecoins and DeFi extend the logic of conventional futures, FX and rate derivatives.
Building the AI foresight platform — multi-agent and machine-learning pipelines and knowledge graphs, trained and continuously monitored by human experts — and the research, training and advisory practice around it.
The rare combination behind the platform’s genesis: the rigour of an engineer, the quantitative and machine-learning toolkit of a markets practitioner, and the lens of a political economist.
Beyond the platform, the ambition is singular: to build the reference company for predictive AI and AI-assisted decision-making and risk management — at the crossover of technology, finance, geopolitics and business intelligence, anchored by our Core Tech IP in graph data science and statistical relational AI (STAR AI).
From economic statecraft to the on-chain future of finance, we build the instruments that help institutions — and the traders arbitraging tomorrow’s markets — see and decide ahead of the curve: event-prediction models that calibrate against, and feed independent signals into, prediction markets, perpetuals, stablecoins and DeFi — the on-chain venues now extending what futures, FX and rate derivatives have always done.
Every claim is traceable to its source. We push back on the unsupported — including our own outputs.
We exist to see what is forming before it arrives, and to make it actionable.
The most consequential work is the quietest. Confidentiality is a premise, not a promise.
State-of-the-art technology, in the service of judgement — never the other way round.
Whether you need foresight, a programme, or counsel on a decision that matters — let’s talk.