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Overview

Heimdall gives you the tools to add predictive analytics to your infrastructure and build scalable data processing pipelines. Our goal is to make model building as easy as possible while abstracting away the complex data science methodologies.

Heimdall was created in order to make data science as simple as possible. Our machine learning tools are all API based so you can integrate them with any and all of your existing tools.

Getting Started​

Get started by registering for a Heimdall account. We value your privacy so none of your sensitive information will ever be shared with any outside party.

Building with Heimdall​

All of our solutions are REST API based so you will need to generate API keys for you to properly build with Heimdall. You can find API specifications for each of products by its product category - Data Science or Data Engineering.

Data Science​

Our Data Science tools enable you & your team to quickly build & deploy predictive machine learning solutions into your platform. We have two key products in our data science suite:

  • Heimdall ML
  • Heimdall Forecast
  • Heimdall Checkout

Heimdall ML enables your team to build & deploy custom classification or regression machine learning models using your existing data sets. Our ML product will automatically build the most optimal model for your desired prediction. You will have the ability to query new features to your model over API in order to get new predictions.

Heimdall Forecast enables your team to build & deploy custom forecasters using your existing data sets. Our Forecast product will automatically build a forecasting model in your chosen time interval so you can get realiable forecasts. You will have teh ability to query the number of time intervals you want to forecast into the future.

Heimdall Checkout enables your team to build & deploy custom product recommendations using your existing data sets. Our Checkout product will automatically build a smart recommendation model based on the items in your customers' carts. You will have the ability to get custom recommendations based on the current shopping cart, as well as find relationships between items that customers frequently buy together.

Data Engineering​

Our Data Engineering tools enable your & your team to process unstructured data into tabular data sets that are ready for machine learning. We have three key product offerings in our data engineering suite:

  • Heimdall Read
  • Heimdall Vision
  • Heimdall Sound
  • Heimdall Point

Heimdall Read enables your team to convert your text data to tabular data. After enabling your API endpoint, you can send text inputs to Heimdall Read and you will recieve a variety of metrics to help quanity your text data. This can be very useful for analzying your customer reviews or even categorizing your product descriptions.

Heimdall Vision enables your team to convert image data to tabular data. Afer enabling your API endpoint, you can send images to Heimdall Vision and you will recieive a variety of metrics to help quanity your images. This can be very useful if you want to analyze images that your customer uploads to classify or categorize the images.

Heimdall Sound enables your team to convert audio data to tabulr data. After enabling your API endpoint, you send audio files to Heimdall Sound and you will receive a varaitey of metrics to help quanity your audio data. This can be very useful if you want to analyze audio clips to classify or categorize them into genres or feelings.

Heimdall Point enables your team to convert GPS data to tabular data. After enabling your API endpoint, you send GPS data to Heimdall Point and you will receive a variety of metrics to help quantify your GPS data. This can be very useful if you want to analyze GPS location data to find customer demographics.

Issues?​

If you find issues with the documentation or have suggestions on how to improve the documentation or the project in general, please contact us or send us a tweet @HeimdallML on twitter!