Squirro Acquires Synaptica
A Strategic Fusion of Generative AI and Knowledge Graph Technologies
A Strategic Fusion of Generative AI and Knowledge Graph Technologies
Use a no-code enterprise taxonomy and ontology management system to model any business domain as an inference-bearing knowledge graph. Standardize enterprise terminologies in taxonomies and capture how entities are described and related in machine-intelligible knowledge models, or ontologies.
Use auto-classification for known entity extraction (inline tagging) and document level classification, automating the capture of concept-to-content annotations and generating a continuously evolving, content-aware knowledge graph.
Adhere to industry standards including ISO 25964 and W3C RDF, SKOS, and OWL to semantically represent enterprise information, enabling knowledge graphs that are machine-intelligible, inference-bearing, and capable of knowledge generation.
Guide the data retrieval process in RAG-enabled generative AI to enhance accuracy, ensure that all relevant information is identified, processed, and validated, and improve the overall quality of generated insights and automated workflows.
Intuitive drag-and-drop graphical user interface and workflow.
Adopt open industry standard models and data interchange formats.
Leverage logical dependencies defined by properties, predicates and classes.
Use public domain ontology plug-and-play predicates and classes.
Automate semantic tagging and auto-categorization of enterprise content.
Squirro AI Studio enables taxonomists and content managers to automate the tagging and categorization of enterprise content.