super.AI

super.AI

3.0

Super.AI provides an AI platform for automating complex business processes with intelligent document processing.

Last Updated Oct 21, 2026
super.AI screenshot

About

super.AI is an AI-powered intelligent document processing platform designed to help businesses automate end-to-end workflows while ensuring accurate results. Leveraging advanced machine learning technology, super.AI efficiently parses, classifies, and extracts key information from documents, significantly boosting productivity and reducing labor costs.

Key Features

Intelligent document parsing: Automatically identifies and extracts structured data from various document types, including PDFs, scanned files, and spreadsheets.
Automated classification: Intelligently categorizes documents based on their content, minimizing the need for manual intervention.
Data validation and correction: Uses AI algorithms to ensure the accuracy of extracted data, with the option for human review when needed.
Seamless integration: Connects quickly with existing enterprise systems such as ERP and CRM to enable full workflow automation.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
  • Free option: The site offers a "Start for free" entry point, so you can try building document workflows before committing to a paid plan.
  • Demo: A product demo can be booked via the contact form for a personalized walkthrough of your document workflows.
  • Plan scope: Plans cover the Intelligent Document Processing (IDP) platform, including classification, extraction, redaction, table recognition, and optional human-in-the-loop review via the Data Processing Crowd.

Who It's For

super.AI is ideal for finance, insurance, and healthcare organizations that handle large volumes of documents, as well as mid-to-large enterprises pursuing digital transformation. It also suits teams looking to optimize business processes and improve operational efficiency, and companies that need an AI solution but lack a dedicated technical team.