FAIM: Time-Series Forecasting API

What it does

FAIM (Foundation AI Models) is a platform for serverless inference of foundation time-series models. It lets you generate forecasts instantly — no setup or infrastructure needed. We built FAIM because the lack of accessible infrastructure for foundation time-series models slows down their adoption in industry. Try it out: 1️⃣ Register to get your API key → https://faim.it.com 2️⃣ Run forecasts via our Python SDK → https://github.com/S-FM/faim-python-client

FAIM - Foundation AI Models for accurate time-series forecasting. Leverage Chronos, Toto, and proprietary models for superior predictions.

In the maker’s words, at launch

I've just launched a browser-based UI for running forecasts on top of foundation time-series models. For now, it uses Chronos-2 underneath, with more models coming soon. Try it here: https://faim.it.com/forecast-studio

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  We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client

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