Graph Construction
Perseus maps your data to your ontology and assembles a connected knowledge graph. Repeatable pipelines. Entity resolution across sources. Refresh without rebuild.
Most enterprise Knowledge Graph projects fail at the ontology or at data integration—not because knowledge graphs don't work, but because building one from scratch across real enterprise data is genuinely hard. Perseus is the platform that handles both.
Stop relying on generic templates. The Perseus pipeline builds an ontology that starts directly from your real, heterogeneous enterprise data, ensuring your graph actually reflects the complexities of your specific domain.
Bring together documents in SharePoint, Salesforce records, legacy 2009 databases, and external feeds. Our graph build pipeline ingests completely heterogeneous sources and seamlessly resolves entities across them into a single, unified state.
Built for teams whose AI initiatives have outgrown what flat RAG can deliver. Perseus sits exactly between your scattered data sources and your LLMs, providing a structured, highly traceable intelligence layer where answers can be easily audited by compliance teams.
During weeks 1 and 2, we collaborate directly with your internal domain experts and our in-house ontologists. Together, we define a robust, custom ontology based on your actual enterprise data, setting the structural foundation for your graph.
Over weeks 3 through 8, we connect your heterogeneous sources into the Perseus pipeline. The platform handles data ingestion, parses complex documents, and automatically resolves entities across different silos to construct a unified graph.
From week 9 to 12, we connect your new structured knowledge layer to your AI applications, LLMs, or BI tools via our retrieval API. We conduct rigorous QA alongside your team to ensure answers are accurate, relevant, and fully traceable.
Your business isn't static, and neither is your data. Through an ongoing partnership, we execute quarterly refreshes, ensuring your ontology and data models evolve perfectly alongside your scaling AI initiatives.
Building an enterprise knowledge graph shouldn't be an open-ended research project. We follow a structured, predictable methodology to take you from scattered sources to a fully integrated AI retrieval layer in 12 weeks.
