Warehouse · No-code ML · Live APIs

From messy data
to a live prediction API

Warehouse CSVs and databases in Lake, explore in Lab, then train ML, Forecast, or Loop and call the model from your app — no data science team required.

See how teams use it →

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Start with a CSV or a database. No data science team required.

How it works

Four steps to a live API

Catalog data, publish gold, train a model, and ship an endpoint — without leaving Heimdall for a separate warehouse or MLOps stack.

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Heimdall workspace
Lake · Bronze catalog

sales_2024.csv

48.2k rows

Upload

customers

12.1k rows

Postgres

inventory_q1

8.4k rows

BigQuery
Drop a file or connect a source

Platform architecture

Warehouse. Model. Ship the API.

Each layer feeds the next — gold tables in Lake become training data, then live endpoints with monitoring.

Step 1

Data Warehouse

Store, curate, explore

Ingest CSVs, connect databases, or process unstructured zip archives. Layer bronze → silver → gold and run Python analytics in Lab.

Lake layers

Bronze
Silver
Gold
LakeLab
Step 2

Data Intelligence

Model without code

Train classification, regression, forecasting, and online-learning models on gold datasets — no data science team required.

MLForecastLoop
Step 3

Production

Deploy & monitor

One-click deployment, REST APIs, usage monitoring, and service health — models live in your infrastructure in minutes.

REST APIsMonitoringYour stack

Already have a database? Connect a database in Lake · Create a Free Account

Products

One stack from ingest to inference

Data Warehouse gets data model-ready. Data Intelligence trains and deploys without a separate MLOps project.

Data Warehouse

Lake

Bronze, silver, and gold catalog

Ingest structured and unstructured data, then publish gold tables models can train on.

CSV & DBUnstructuredSilverGold

Lake layers

Bronze
Silver
Gold
Modeling
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Data Warehouse

Lab

New

Python notebooks on Lake data

Profile Lake tables with pandas and charts, then save transforms back to silver.

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Data Intelligence

ML

No-code ML

Classification and regression on gold data, then a REST API.

ExploreDocs
Data Intelligence

Forecast

Time series

Explainable forecasts you can call when planning demand or capacity.

ExploreDocs
Data Intelligence

Loop

Online learning

Models that keep learning from new live data.

ExploreDocs

Applied intelligence

Problems like the ones on your desk

All use cases
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Ready to put a model in production?
Start with the data you already have.

Ingest into Lake, explore in Lab, train without writing training code, and ship a monitored REST API — one platform instead of a stitched stack.

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