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OFFERS | SERVICES

From your data to cold-start forecasts

Methodology

  1. Step 1Set up XferAI-BenchClone the repo and follow Getting started.
  2. Step 2Place your local dataPrepare and clean your data, with the required metadata in the XferAI-compatible format.
  3. Step 3Get benchmark resultsResults from state-of-the-art methods, on your data.
Built for trustOur goal: forecasts that are explainable, interpretable and traceable to feature changes, building trust so they are safe for mission-critical applications.

Offerings

Free & open source

Run on your own data, locally

  • Open source, Apache-2.0
  • Runs offline on your machine
  • Your data stays local
Get started
Expert

Eval mode

Hire an expert to evaluate cold-start forecasting methods on your data.

  • Expert-led evaluation
  • Synthetic or anonymized data
  • Method comparison on your data
Send your request

FDE mode

An AI engineer works closely with you inside your data environment.

  • On-site, in your environment
  • Evaluate and benchmark cold-start methods
  • Hands-on with your team
Send your request