
The Forecasting Company
Foundation models for time series
About the Company
Our goal is to provide the most accurate and easy-to-use forecasts to our customers, by leveraging refined information from their own industry. Foundation models for time series are changing this entirely. With the current advances in data processing and model training, we can now pre-train models on diverse temporal data across industries. We provide value to our customers by enabling rapid interaction with our models when provided data and context in natural language, delivering real-time forecasts with accuracy reports. Our customers do not need to be data scientists or have a PhD in Machine Learning to build and ship an accurate forecasting system for their use-cases.
Example use cases include demand forecasting for large furniture chains, predicting sales for a restaurant group and revenue forecasting in the gaming industry.
The founders Geoff and Joachim are both Machine Learning PhDs who have built forecasting and ML systems from scratch at JP Morgan, Amazon, Google, Bloomberg, and Sonos in the US.
We are a global company that happens to be HQed in Paris. Get the best of both worlds — Silicon Valley work ethic and ambition in the center of Paris, right across from the historical Stock Exchange, in the Sentier.
Founders
PhD in ML for speech and full-stack developer. Interned at Sonos where I built an on-device wake word detector and at Bloomberg building a large ASR system. Worked full-time at JPMorgan in their Machine Learning Center of Excellence in New York, and then at two startups, team lead ML/NLP at Consigli, a prop-tech startup, and sr algorithm engineer and full-stack at Vind AI, a SaaS for designing off-shore wind parks.
Co-founder and CEO at The Forecasting Company, helping enterprise customers improve their operational decision making. PhD grad from UC Berkeley's BAIR. I spent time with Amazon Forecasting Science in SCOT, Google Brain, and Bloomberg LP where I worked on forecasting, optimization and deep learning research.
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