ASTER is an AI-powered data analysis tool designed specifically for reinsurance underwriting. It transforms unstructured documents into structured intelligence, enabling underwriters to uncover hidden insights, map connections, and make more informed decisions.
The platform standardizes various document formats into a unified structure, making previously siloed information accessible and analyzable. By leveraging AI capabilities, ASTER can automatically generate comprehensive underwriting reports, highlighting key risk factors and opportunities that might otherwise remain hidden within complex documentation.
- Format Conversion: Standardize documents across multiple formats (markdown, JSON, Excel, CSV) into a consistent structure
- Schema Extraction: Automatically detect and map document hierarchies and relationships
- Pattern Discovery: Identify correlations and connections across multiple documents
- Natural Language Querying: Interact with your data using simple language rather than complex queries
- AI-Powered Analysis: Generate structured reports with actionable insights for underwriting decisions
- React.js frontend with Tailwind CSS
- Client-side document processing
- IndexedDB for efficient local storage
- Ollama integration for AI capabilities
| Roberto Bendinelli | Federica Troni | Lorenzo Borello | Francesco Catalanotti |
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