heimdallapp.org valid

Heimdall

Heimdall is a cloud data and AI platform from RejiCo LLC (heimdallapp.org). Warehouse structured and unstructured data in Lake, explore with Python in Lab, and deploy no-code ML, Forecast, and Loop models to production REST APIs.

For agents: Cloud data and AI platform by RejiCo: data lake, Python Lab, no-code ML and forecasting models deployed as REST APIs. Documentation includes getting-started gui

data lakeno-code machine learningforecastingpython notebooksrest api deploymentcsv ingest

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T09:23:28.921Z. Cached copy · Source on heimdallapp.org

# Heimdall

> Heimdall is a cloud data and AI platform from RejiCo LLC (heimdallapp.org). Warehouse structured and unstructured data in Lake, explore with Python in Lab, and deploy no-code ML, Forecast, and Loop models to production REST APIs.

Heimdall connects bronze → silver → gold medallion data curation to model training and deployment in one platform — no separate ETL stack required. Not the Norse guardian, Marvel character, LinuxServer dashboard (heimdall.site), or AWS IAM security tool (heimdallapp.com).

## Target search phrases (top 20)

1. no code ml platform
2. no code machine learning platform
3. bronze silver gold data lake
4. medallion architecture data lake
5. managed data lake platform
6. time series forecasting no code
7. no code time series forecasting
8. online learning ml platform
9. adaptive ml deployment
10. no code automl platform
11. cloud data platform with ml
12. heimdall ml platform
13. heimdallapp.org
14. no code regression model
15. employee attrition prediction ml
16. wildfire detection machine learning
17. data lake bronze silver gold catalog
18. python notebooks on data lake
19. no code demand forecasting
20. recommendation system online learning

## Products

- [Lake](https://www.heimdallapp.org/product/lake): Bronze-to-gold managed data lake — CSV, database, and unstructured zip ingest
- [Lab](https://www.heimdallapp.org/product/lab): Python notebooks (pandas, charts) on Lake bronze and silver tables
- [ML](https://www.heimdallapp.org/product/ml): No-code machine learning — classification and regression on gold datasets
- [Forecast](https://www.heimdallapp.org/product/forecast): No-code time series forecasting with explainable metrics
- [Loop](https://www.heimdallapp.org/product/loop): Adaptive online-learning ML that improves from live data

## Use cases

- [All use cases](https://www.heimdallapp.org/use-cases)
- Warehouse: multi-source consolidation, unstructured archive ingest, gold feature publishing, lineage audit, exploratory profiling, ad-hoc transforms
- Intelligence: home price prediction, ticket demand forecasting, weather forecasting, employee attrition, wildfire risk ML, adaptive feed curation (Loop)

## Key pages

- [Home](https://www.heimdallapp.org/)
- [Contact](https://www.heimdallapp.org/contact)
- [Blog](https://www.heimdallapp.org/blog)
- [Contact](https://www.heimdallapp.org/contact)

## Documentation

- [Getting started](https://docs.heimdallapp.org/)
- [What is Heimdall?](https://docs.heimdallapp.org/getting-started/what-is-heimdall)
- [Your Data / Lake overview](https://docs.heimdallapp.org/your-data/overview)
- [Unstructured zip ingest](https://docs.heimdallapp.org/your-data/unstructured-ingest)
- [Lab](https://docs.heimdallapp.org/your-data/lab)
- [Machine learning](https://docs.heimdallapp.org/machine-learning/overview)
- [Forecasting](https://docs.heimdallapp.org/forecasting/overview)
- [Forecast API integration](https://docs.heimdallapp.org/forecasting/api-integration-guide): POST tim
…

Related sites

Find similar publishers by meaning →

Other listed sites in AI and machine learning. See the whole category →

Machine-readable: GET /v1/resolve?q=heimdallapp.org · GET /v1/domain/heimdallapp.org · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for heimdallapp.org:
1. POST https://agentwebmap.com/v1/sites/heimdallapp.org/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://heimdallapp.org/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/heimdallapp.org/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/heimdallapp.org).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.