Graph Construction
Perseus maps your data to your ontology and assembles a connected knowledge graph. Repeatable pipelines. Entity resolution across sources. Refresh without rebuild.
An automated, continuous pipeline that takes your raw documents and transforms them into a production-ready graph. Perseus ingests, resolves, and intelligently refreshes your data, ensuring your AI always operates on the most accurate and up-to-date context.
Seamlessly connect your disparate data sources, including PDFs, databases, APIs, and raw files. Perseus automatically ingests, parses, and structures your documents, laying the foundation for your knowledge graph.
Automatically extract and map entities and relationships directly to your defined ontology. Perseus intelligently resolves duplicates and reconciles conflicting information across all connected sources to ensure high-fidelity, accurate data representation.
Your knowledge graph is instantly built, indexed, and ready for advanced querying. As your source data evolves, Perseus efficiently refreshes only the affected subgraphs, ensuring your AI applications are always powered by the most up-to-date context without rebuilding from scratch.
Stop losing weeks to manual data reconciliation. Perseus inherently recognizes that scattered variations of a name or concept belong to the exact same entity, seamlessly deduplicating and merging records across your entire stack without human intervention.
Go from zero to a production-ready hybrid index effortlessly. The pipeline handles multi-source schema mapping, tracks full data lineage, performs smart incremental updates, and allows for complete graph portability when you need to export.
Designed for organizations juggling legacy relational databases, messy unstructured documents, and live external feeds. Bring every isolated data silo into a single, highly structured, and instantly queryable intelligence layer.
Building a robust knowledge base shouldn't be a multi-month engineering bottleneck. Perseus replaces brittle, manual integration workflows with an intelligent pipeline built to handle the realities of messy, heterogeneous data at scale.
