# Heimdall Documentation > Technical documentation for Heimdall — the cloud data and no-code ML platform from RejiCo LLC (heimdallapp.org). Lake medallion catalog, Lab notebooks, ML, Forecast, and Loop. Heimdall connects bronze → silver → gold medallion data curation to model training and deployment in one platform. Not the Norse guardian, Marvel character, LinuxServer dashboard (heimdall.site), or AWS IAM security tool (heimdallapp.com). ## Docs home - [Getting started](https://docs.heimdallapp.org/): Landing page — fastest paths to first model, Lake workflow, and product links - [What is Heimdall?](https://docs.heimdallapp.org/getting-started/what-is-heimdall): Product definition, disambiguation, glossary, and product chooser table ## Getting started - [User journeys](https://docs.heimdallapp.org/getting-started/user-journeys): Three canonical paths — CSV→Lake→Gold→API, sample ML, Lab→Silver→ML with exact UI clicks - [Quick start: sample data](https://docs.heimdallapp.org/getting-started/quick-start-sample): Train first ML or Forecast model in ~10 min with Housing, Iris, or AirPassengers - [Quick start: your data](https://docs.heimdallapp.org/getting-started/quick-start-own-data): Upload CSV/Excel to Lake, publish Gold, train on your own dataset - [Real-world examples](https://docs.heimdallapp.org/getting-started/real-world-examples): Churn, demand forecasting, and image classification workflows - [Create your account](https://docs.heimdallapp.org/getting-started/create-account): Sign up for Lake, Lab, ML, Forecast, Loop, and Usage monitoring - [Unstructured API key](https://docs.heimdallapp.org/getting-started/unstructured-api-key): Generate Read/Vision API key in Settings - [Your first API call](https://docs.heimdallapp.org/getting-started/first-api-call): Test Heimdall Read text analysis — headers, response fields, errors ## Heimdall Lake - [Lake overview](https://docs.heimdallapp.org/your-data/overview): Bronze-to-gold medallion catalog — ingest, curate, publish for modeling - [Add your first table](https://docs.heimdallapp.org/your-data/add-first-table): Upload structured CSV or Excel to bronze - [Clean and combine](https://docs.heimdallapp.org/your-data/clean-and-combine): Join, filter, and transform silver datasets - [Publish for modeling](https://docs.heimdallapp.org/your-data/publish-for-modeling): Create ML or Forecast gold artifacts with validation rules - [Unstructured zip ingest](https://docs.heimdallapp.org/your-data/unstructured-ingest): Bulk image/text archives → bronze tables via zip jobs - [Zip folder layout](https://docs.heimdallapp.org/your-data/zip-folder-layout): How to organize labeled image and text archives for ingest ## Heimdall Lab - [Lab](https://docs.heimdallapp.org/your-data/lab): Python notebooks (pandas, charts) on Lake bronze and silver; save to silver ## Heimdall ML - [ML overview](https://docs.heimdallapp.org/machine-learning/overview): No-code classification and regression on gold datasets or samples - [Build an ML model](https://docs.heimdallapp.org/machine-learning/build-a-model): Training wizard — gold picker, target column, AutoML analysis - [ML deployment](https://docs.heimdallapp.org/machine-learning/deployment): Save model, generate API key, production predict endpoint - [ML API integration](https://docs.heimdallapp.org/machine-learning/api-integration-guide): Predict REST API — headers, nested features JSON, responses - [ML monitoring](https://docs.heimdallapp.org/machine-learning/monitoring): Inference volume, latency, channel mix, drift on model pages ## Heimdall Forecast - [Forecast overview](https://docs.heimdallapp.org/forecasting/overview): No-code time series forecasting on gold datasets or AirPassengers sample - [Build a forecast](https://docs.heimdallapp.org/forecasting/build-a-model): Training wizard — datetime column, intervals, explainable metrics - [Forecast deployment](https://docs.heimdallapp.org/forecasting/deployment): Save model, generate API key, production forecast endpoint - [Forecast API integration](https://docs.heimdallapp.org/forecasting/api-integration-guide): Forecast REST API — time series payload, responses, errors - [Forecast monitoring](https://docs.heimdallapp.org/forecasting/monitoring): Forecast API usage, latency, and request logs ## Heimdall Loop - [Loop overview](https://docs.heimdallapp.org/loop/overview): Adaptive online learning — models that improve from live predictions - [Define and train a loop](https://docs.heimdallapp.org/loop/modeling): Input/output schema, bootstrap training, incremental learning - [Loop deployment](https://docs.heimdallapp.org/loop/deployment): Generate API key, predict with feature contributions, feedback loop - [Loop API integration](https://docs.heimdallapp.org/loop/api-integration-guide): Loop REST APIs — predict, train, explainability payloads - [Loop monitoring](https://docs.heimdallapp.org/loop/monitoring): Per-loop Usage section — predict/train volume and latency ## Unstructured suite (Read / Vision) - [Unstructured suite overview](https://docs.heimdallapp.org/unstructured-suite/overview): One-off text and image analysis APIs vs bulk Lake zip ingest - [Text analysis (Read)](https://docs.heimdallapp.org/data-input/text-analysis): Sentiment, word counts, TF-IDF, linguistic metrics - [Image analysis (Vision)](https://docs.heimdallapp.org/data-input/image-analysis): Color, texture, gradient, ORB feature descriptors ## Production - [API integration](https://docs.heimdallapp.org/production/api-integration): Cross-product REST patterns — auth headers, retries, error handling - [Database connections](https://docs.heimdallapp.org/production/database-connections): Planned database sync — current CSV export workaround - [Monitoring & usage](https://docs.heimdallapp.org/production/monitoring): Account Usage page — intelligence, Lake/Lab activity, platform health - [Production best practices](https://docs.heimdallapp.org/production/best-practices): Secure API keys, pooling, validation, observability patterns ## Legacy URL redirects These old paths redirect automatically: - `/your-data/forge-unstructured` → unstructured zip ingest - `/the-forge/overview` → unstructured zip ingest - `/the-forge/data-integration` → zip folder layout - `/machine-learning/modeling` → build an ML model - `/forecasting/modeling` → build a forecast ## Marketing site - [heimdallapp.org](https://www.heimdallapp.org/) - [Marketing llms.txt](https://www.heimdallapp.org/llms.txt) - [Full site summary for LLMs](https://www.heimdallapp.org/llms-full.txt)