Graphwise Launches Semantic Backbone Initiative to Curb AI Hallucinations

The newly integrated Graphwise Platform offers a unified environment that converts fragmented enterprise data into a structured Semantic Backbone. By automating the transition from raw, disconnected information to a governed knowledge layer, the system enables multi-hop reasoning across disparate databases. According to Andreas Blumauer, Senior VP of Growth at Graphwise, the goal is to provide a traceable path where every AI output is linked directly to source data, bypassing the common pitfalls of hallucination.

The technical framework operates in two phases: first, by mapping business logic through taxonomies and ontologies to standardize unstructured and structured data; and second, by deploying GraphRAG to assemble verified context before generation occurs. This approach ensures that AI agents operate with an understanding of organizational relationships, rather than relying on statistical patterns alone. As noted by Rita Sallam, Distinguished VP Analyst at Gartner, such semantic representation is a prerequisite for accurate agentic outcomes, as AI lacking specific organizational context is prone to bias and unreliability. The company plans to showcase these capabilities during its inaugural Platform Pulse webinar on July 2, 2026.