Researchers and analysts spend hours manually connecting data points to uncover patterns. A tool that automatically builds and updates knowledge graphs from unstructured data would save time and reveal hidden insights.
The product would ingest text, PDFs, and other formats, automatically extracting entities and relationships to create a visual knowledge graph. Users could query and explore connections interactively.
Academic institutions, consulting firms, and enterprises with large datasets would pay for deeper insights.
The MVP could process text documents and display a basic graph. Over time, add support for more formats and advanced querying.
The biggest risk is ensuring accuracy in automatically extracted relationships.