Adaptive IDP

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Duco’s adaptive intelligent document processing (IDP) technology extracts unstructured data from documents, emails, images and other unstructured formats. But unlike traditional IDP solutions, it doesn’t follow a rigid template to recognise document or data types. It uses a deep learning engine with proprietary NLP algorithms and AI models that continuously improve with human validation and enrichment. Business users ‘train’ the machine simply by doing their job - no AI skills necessary.

How it works:

  1. Pre-processing: optimises data and prepares for extraction
  2. Classification: Splits files, recognises and classifies document types, and paginates as appropriate
  3. Extraction: extracts data formatted to your configuration; links connected text (eg payment amounts and dates) and recognises signatures, stamps, logos
  4. Validation: validates data against business rules and custom built enrichment with external data
  5. Output: sends to data lakes, further Duco processes, or other applications

Key Features

  • Humans in the loop: manage how and when humans feed back to train and maintain deep learning models

  • No code: business users don’t need code or AI skills to set up or to train/maintain the model, removing dependencies on overstretched IT resources.

  • Configurable and customisable: add, modify and enrich in platform; adapt process pipeline with ready-built, customisable code snippets

  • Detailed production and model analytics: provide tracking, insights and potential improvements

Key Benefits

  • Handles unlimited variety - emails, documents, scans - and does not need to be retrained when a format changes

  • Can be used across the business, eliminating point solutions and consolidating the tech stack

  • Self-learning models improve over time, increasing STP rates and efficiency

  • Reduces human error and associated risks