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Super AI

Automate processes, extract data accurately from complex documents
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Monthly Traffic:

35446

What is Super AI?

Super AI is an intelligent document processing (IDP) platform that uses large language models (LLMs) to extract data from any document with guaranteed quality. The platform offers access to the latest AI models and includes on-demand human-in-the-loop (HITL) review for data labeling, post-processing, and exception handling. Super AI aims to streamline business processes by automating document processing, improving customer experience, and reducing operational costs and risks. Industries such as finance, insurance, logistics, and TIC services can benefit from this technology, which can handle various document types and formats, including digital and scanned versions. The platform is designed to process structured, semi-structured, and unstructured documents, making it suitable for a wide range of use cases, including invoices, purchase orders, bills of lading, and more.

 


 

⚡Top 5 super AI Features:

  1. Intelligent Document Processing (IDP): A powerful tool that uses AI and machine learning to classify and extract data from structured and semi-structured documents, enabling end-to-end process automation.
  2. Large Language Models (LLMs): Integrated LLMs to extract data from any document with guaranteed quality.
  3. Data Processing Crowd: On-demand human-in-the-loop (HITL) review for data labeling, post-processing, and exception handling.
  4. Access to Latest AI Models: Offers access to the latest AI models to ensure the most up-to-date technology is being utilized.
  5. Document Classification: Capability to classify documents for efficient organization and processing.

 


 

⚡Top 5 super AI Use Cases:

  1. Invoices: Automate the processing of invoices, reducing manual effort and improving accuracy.
  2. Purchase Orders: Streamline the handling of purchase orders by automating data extraction and classification.
  3. Bills of Lading: Simplify the process of managing bills of lading with AI-powered document analysis.
  4. Financial Services: Improve customer experience in financial services by automating transaction data enhancement, KYC standards, and interbank settlements.
  5. Claims Processing: Enhance claims processing for both customers and employees by automating document processing, damage assessment, and quality checks.
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