Welcome to Heimdall
Turn spreadsheets and archives into ML and forecasting APIs — without a data science team.
New here?
Try the 10-minute sample walkthrough before you set up the Data lake.
How it fits together
| Step | What you do |
|---|---|
| 1 | Ingest — Upload CSV/Excel to Data, or run a Forge job on a zip |
| 2 | Publish — Create a gold dataset checked for ML or Forecast |
| 3 | Train — Open the ML or Forecast wizard (gold or sample) |
| 4 | Deploy — Copy API keys and call Predict from your app |
Loop is separate
Loop (online learning) does not use the Data lake yet. See Loop docs for that path.
Pick your path
| I want to… | Start here |
|---|---|
| See the product fast | Quick start: sample |
| Use my own spreadsheet | Quick start: your data |
| Understand bronze / silver / gold | Your data |
| Train ML | Build an ML model |
| Train forecasting | Build a forecast |
Account & API
- Create your account
- API keys (optional, for unstructured APIs)
- First API call (optional)
Need help?