Integrated Onboarding Workflow
- Define information ontology and configure entities - chose one of several extraction strategies
- Create high quality ground truth training data guided by pre-defined ontology
- Train entire machine learning model extraction pipeline with a single click
- Test performance & Publish extraction pipeline
Built-in Annotation Management
- Track documents at each stage in the annotation lifecycle - Unassigned, Assigned, In-Review and Ground-Truth
- Collaborate with team of annotators for data labeling
- Review and make corrections to ensure consistency across the dataset
- Switch on Active learning to turbocharge data preparation
Intuitive Graphical User Interface
- Easy-to-use graphical user interface (GUI) for annotation, review and exception management with human in the loop
- Integration with ontology to reduce errors during annotation lifecycle
- Intelligent Outline to navigate through long form documents
Train with Tiny Data
- Train high quality models with as little as 200 training samples and transfer learning
- One click training of entire NLP extraction model pipeline
- Incremental training for continuous performance improvement
- Review dataset and training metrics to ensure acceptable performance
Flexible Architecture
- Designed for large enterprises with cloud native architecture
- Scalable architecture to scale according to transaction volume
- Deploy in your cloud account or have args.ai host and manage your deployment
- API driven architectire for easy integration with back-office systems
