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.
Download our product overview brochure
We are Hiring
Full Stack Developer
ChAI are looking for a full-stack Software Developer to help build out our tech stack and enhance our product offering. You will be responsible for software projects throughout the full development lifecycle, from requirements gathering to deployment in the cloud.
Working independently, you will need to be able to write clean, well-tested, reliable code. This will be a hands-on role and we’re looking for motivated, curious developers who want to learn and help take our exciting, fast-moving business to the next stage. You will also have exposure to deployment and management of our cloud-based software infrastructure. We use an Agile software development process, aiming to develop and deploy software as rapidly as possible.
This is a fantastic opportunity to work in an early-stage startup, and as part of your role you will also gain exposure to many areas of the business, including working with clients and our machine learning tech.
Full description available on Angel List: https://angel.co/company/chai-6/jobs/647772-junior-developer