tl;dr: The same core technology that led to the LLM explosion can be adapted to build accurate and easy to use time series models. We’re building the enterprise-grade, plug and play forecasting systems of tomorrow. Talk to us if you have forecasting and planning use-cases!

Hi everyone, we’re Geoff and Joachim. We’ve built ML and forecasting systems at Amazon, Google, Bloomberg LP, JP Morgan, and Sonos. We’re The Forecasting Company!

Problem 📉

• Existing time-series forecasting solutions produce unreliable predictions with sometimes catastrophic results - they have a hard time handling activity spikes like Black Friday.
• Developing and maintaining useful forecasting and planning models requires large and costly teams of data scientists and domain experts.
• Data science teams are backlogged, leaving operators waiting for months before a use-case to be put into production.

Solution 📈

• An easy to use, flexible and accurate forecasting system. No training required!
• A massive training dataset of time-stamped data from many industries and domains (energy, transportation, etc.).
• A forecasting model that can leverage user-provided input variables or our own curated data streams.

What we’re forecasting these days

Bacteria levels in the Seine 🦠 🏊‍♂️

Our forecasts show that swimmers lucked out today 🍀!
(Data provided courtesy of the Fluidion Open Data Initiative)

Ask

• If you have forecasting problems in-house, or know of someone who does, please reach out - we’d love to help!
• Try our sandbox model on www.theforecastingcompany.com and let us know what you think
  founders@theforecastingcompany.com