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Andrei Chernovleft a comment
👋 Hey everyone, I’m Andrei, the founder of FAIM. This is our first public beta, and we’d love your thoughts. We’re especially interested in feedback on: • How easy it is to get started • Which time-series models or features you’d like next • Any ideas for improving the developer experience Your input will really help us shape the next release — thanks for checking it out! 🚀
FAIM: Time-Series Forecasting API Serverless inference for foundation time-series models
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: Time-Series Forecasting API Serverless inference for foundation time-series models
FAIM (Foundation AI Models) is a platform that enables companies to inferene, fine‑tune, and scale AI foundation models for structured data: tabular, time‑series, and recommender systems in the cloud.
FAIMhost and serve structured AI foundation models
Andrei Chernovleft a comment
There are many inference providers for LLM foundation models, but none for foundation models on structured data. We want to close this gap! We’ve already added foundation time series models (Chronos and ToTo) and would love to get your early feedback. We’re currently in alpha testing, if you’d like to participate, let us know and we’ll send you an API key so you can access the models via our...
FAIMhost and serve structured AI foundation models