We're revolutionizing time series forecasting by adapting core LLM technology to build accurate, enterprise-grade prediction systems. Our solution combines massive training datasets across various industries with an intuitive interface, eliminating the need for large data science teams. Whether you're handling seasonal spikes or complex planning scenarios, we're here to transform your forecasting capabilities.
We're a team of experienced data scientists and software engineers who are passionate about making forecasting more accurate and accessible.
Geoff Négiar
Geoff previously built forecasting systems at Amazon.com, Bloomberg LP and Shift Technology, and worked on ML research at Google Brain. He holds a PhD from UC Berkeley's BAIR.
Joachim Fainberg
Joachim was a VP with JP Morgan's ML team, and contributed to startups as an ML lead and algorithm engineer. He holds a PhD in machine learning and speech processing from the University of Edinburgh.
We are grateful to be backed by a group of experienced investors who are passionate about bringing forecasting into next era.