Skip to main content

Overview

Transform your raw data into powerful feature vectors and datasets with The Forge. Our automated data processing pipeline handles the complex work of data preparation, feature engineering, and dataset creation.

What is The Forge?

The Forge is an automated data processing pipeline that enables you to build powerful feature vectors and datasets from your raw data. These processed datasets can be stored in traditional databases and are also available in Heimdall's Machine Learning suite.

Key Features

  • Automated Processing - No manual data preparation required
  • Feature Engineering - Automatically extract meaningful features from your data
  • Flexible Input - Handle various data types and formats
  • ML Integration - Seamlessly connect to Heimdall's Machine Learning suite
  • Database Storage - Store processed datasets in traditional databases

What You Can Process

Image Data

  • Computer vision datasets
  • Image classification models
  • Object detection training data
  • Medical imaging analysis

Text Data

  • Natural language processing
  • Sentiment analysis
  • Document classification
  • Language translation

Structured Data

  • Tabular data processing
  • Feature engineering
  • Data transformation
  • Analytics datasets

How It Works

The Forge automatically processes your data through a sophisticated pipeline:

  1. Data Ingestion - Upload your raw data in various formats
  2. Automated Processing - Extract features and prepare datasets
  3. Feature Engineering - Create meaningful feature vectors
  4. Quality Assurance - Validate and clean processed data
  5. Storage & Integration - Store in databases and make available for ML

Getting Started

Ready to transform your data? Explore our guides below to learn how to prepare your data, set up processing pipelines, and integrate with machine learning workflows.