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Predicting commodity prices with AI on Alternative Data1-10 Employees
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Predicting commodity prices with AI on Alternative Data
ChAI exists to remove the pain of commodity price volatility for our clients, de-risking their supply chains and/or trading operations. We seek to mitigate the negative business impacts of commodity price risk for buyers (e.g. manufacturers) and sellers (e.g. miners) by forecasting prices on a daily basis for time horizons of one month to one year into the future.

We apply the latest AI research to established and alternative data sources (such as satellite imagery or maritime freight data) to produce commodity price predictions at a whole new level of accuracy and insight. We use data sources flexibly, meaning that we only select the most relevant data sets for each commodity when making our predictions - one size doesn't fit all. Furthermore, our algorithms are fully explainable, helping our clients understand the weight given to each input source and providing a full probability distribution for each prediction made.

We're a diverse team in central London, backed by investors.
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Mike Button
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Stephen butler
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Tristan Fletcher
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I apply state of the art prediction methods from the Machine Learning academic community to real world problems.
Silvi Wompa Sinclair
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Marcus Dixon
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Founder ChAI
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