people · May 16, 2026

QuantumSpace Uses Neo4j AuraDB to Map 50,000-60,000 Data Points per Artwork for Forgery Detection

QuantumSpace, founded by Francesco Rocchi as COO from a Kingston University master’s thesis, deploys Neo4j AuraDB as its core knowledge layer to extract and relate 50,000 to 60,000 data points across 50+ datasets per artwork including color, surface physics, and provenance. The graph schema, hand-built over seven months, supports Cypher queries and a RAG system with Vertex AI Search for plain-language inference on visual patterns. Validation on a Caravaggio painting achieved 100% color density match and identified damage in 15% of loaned artworks during transport.