Don’t waste valuable human capital on manual document processing. Duco’s adaptive IDP can help you reduce operational costs and cut the time you spend on manual data extraction.
Model training, evaluation, version management, deployment, configuration, input/output, user management, are all built-in.
No need for coding, no AI skills required.
Adapts and learns through integrated human feedback
Automates data extraction on any document type – including custom formats – and any kind of data.
Enables you to build models with as few as 10 examples, or adapt an existing model from our library
Enables process customisation and in-platform data enrichment
Adaptive intelligent document processing (IDP) uses a deep learning engine: proprietary NLP algorithms power AI models, continuously improving with human validation, enrichment and threshold scores
Pre-processing
Optimise and prepare for extraction
Classify
Split files, recognise/classify doc type, paginate
Extract
Extract data formatted to your configurations. Links connected text (eg dates and amounts), and recognises signatures, stamps, logos…
Validate
Validate against business rules and enrich with custom logic
Output
Send to further Duco processes or other applications
Integrated features to help you extract unstructured data with ease.
Clear, straightforward guidelines for labelling guidelines and step-by-step instructions to help business users label document elements and help train the model, and improve it in production.
In the training phase, the model identifies and suggests the best documents to label, reducing effort while improving accuracy. It will also suggest where it thinks business users have made mistakes in labelling, speeding review.
Adaptive IDP enables full configuration of where and when humans provide feedback to help improve the deep learning models.
Feedback from business users as they do their daily work helps train the models without the need for specialist skills. Models learn from interactions and improve results.
Real time view of AIDP processes enables business users to see what’s happening with the model and identify opportunities to collaborate with other team members.
Real time dashboards monitor performance to keep you on top of cost and STP rates. You can also see STP rates, data quality and other model analytics to help identify potential improvements to the model.
Analytics enable users to track, compare and optimise the model from training to production.
Manual processing is slow, prone to errors and costly
OCR template-based solutions require structured input with fixed layouts
Developers or consultants manually create, maintain and adjust templates whenever formats change – costly and time consuming
Point solutions for each document type/department create a messy, expensive tech stack
Pre-trained models deliver mediocre, static performance
AI handles unstructured input with unlimited variety (documents, scans, emails, etc.)
Algorithms learn from context and interpret layout and text, not just memorize it
Transparent training models – no black box
One solution used across the business – no specialised point solutions
Self-learning models provide better performance and improve over time
Harness the power of the cloud to react fast to any changes in data volume or complexity.
Easily automate common tasks with high accuracy, keeping humans in the loop to validate and improve outcomes
Standardise and control your data across your organisation.
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