Transform disconnected data sources into a context-rich knowledge graph.
Using fully customisable workflows, GraphAware Hume transforms siloed, disconnected data into an interconnected representation of your world — a knowledge graph.
The result is a comprehensible, context-rich, up-to-date view of truth, making information instantly searchable and accessible for analysis.
Hume Orchestra offers data ingestion and manipulation capabilities for real-time scenarios with large data volumes.
Design and configure data workflows using a friendly, drag-and-drop interface. Leverage both streaming and batch data processing capabilities — all in a single tool.
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Seamlessly incorporate pre-existing and third-party microservices into data enrichment pipelines.
Leverage existing investments and integrate internal and external services (such as face recognition, language translation, or OSINT data providers) using secure API calls.
Identify and decide how to address different, potentially disconnected data points that correspond to the same real-world entity.
Automate the process using custom, transparent rules implemented as Hume Orchestra workflows, or by integrating third-party services.
Extract valuable information from unstructured data, such as free-text intelligence reports or news articles.
Leverage LLMs from within Hume to extract entities and relationships, and enrich your knowledge graph with the newly structured information.
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