What we do
We help mitigate commodity price volatility for buyers and sellers of commodities by forecasting their prices using both traditional and alternative data (including satellite and maritime) and the latest in AI techniques over time horizons of one day to one year.
Our vision is to provide SME manufacturers with the same price risk mitigation tools that are currently only available to their larger peers
Who we are for
We give insight into the direction of future price movements and their volatility over strategically useful time horizons. This enables purchasing managers and financial officers to control their price risk - resulting in larger margins and stronger financial control.
We produce signals with sources of alpha in exchange-traded commodities which are uncorrelated to other main investment styles. The signals articulate their own confidence when generated, increasing their utility for conviction-based trading.
We use state-of-the-art AI methods on a large number of alternative and established data sources in order to make our price predictions on a full cross-section of commodities. We don’t believe in applying AI blindly, which is why we provide confidence limits to our predictions and base our forecasting on the economic theory of supply and demand.
Manufacturing engineers, with a strong focus on FMCG and metal processing.
Academics in AI as applied to financial markets, centred on commodity futures markets.
Algorithmic traders and portfolio managers from global Commodity Trader Advisers / Hedge Funds.
Supply Chain Experts
Supply chain based management consultants.
We collaborate with the following organisations:
Google Cloud Platform
Thanks to an initial allocation of credits, our service is hosted on GCP, taking full advantage of its tech stack.
Digital Catapult MI Garage
MI garage has assisted ChAI at every stage of our journey.
Department for International Trade
An AI-centred trade mission, organised by DIT, was the genesis of ChAI.
A data provider assisting with supplying data for early stage model development and now lies at the heart of our algorithms’ predictive ability.
Imperial College London
Some aspects of our Machine Learning technology are being explored in association with researchers at Imperial.
University College London
We have carried out a substantial amount of ML research with UCL.
The FinTech Sandbox have provide multiple introductions to various data providers through their network.