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.