Deutsche Bahn open-sources a semantic graph editor for its railway network data

Deutsche Bahn’s innovation team built and open-sourced a semantic graph editor to visualize, edit, and query their complex railway network data, empowering both technical and non-technical users.

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Green Cargo builds a digital twin of its freight train operations with Neo4j

Green Cargo built a comprehensive digital twin of their freight train operations using Neo4j to gain real-time visibility and manage disruptions effectively across their complex network.

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Sky builds a graph center of excellence, from user engagement to fraud detection

Sky established a graph center of excellence with Neo4j, proving its value by improving user engagement and expanding its use to fraud detection and AI initiatives.

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Imperial College London predicts new gene–disease links in heart disease with a knowledge graph

Imperial College London researchers built a multimodal knowledge graph integrating biomedical data and cardiac imaging to predict novel gene–disease associations for cardiovascular diseases.

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Merck KGaA connects R&D knowledge with graphs and GenAI in its Synaptix ecosystem

Merck Group is transforming R&D knowledge management by using Neo4j to power its “Synaptix” graph ecosystem, connecting fragmented data to enable advanced analytics and agentic AI for drug repurposing and document intelligence.

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Porsche de-risks a supplier handover with a knowledge graph of its legacy systems

Porsche mitigated a critical knowledge-transfer risk during a supplier handover by building a Neo4j knowledge graph of legacy systems, reducing issue triage time by 30–40%.

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KWS Saat uses knowledge graphs and AI for explainable gene discovery

KWS Saat combines knowledge graphs, link prediction, and generative AI to produce biologically meaningful and explainable hypotheses for identifying candidate genes in complex agricultural traits.

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Airbus reveals hidden, cascading risks in its supply chain with Neo4j Aura

Airbus used a Neo4j Aura-based dashboard to visualize its complex supply chain, enabling rapid identification of cascading risks from single-part disruptions.

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L’Oréal builds Beauty Genius, a personal beauty assistant, on knowledge graphs

L’Oréal Groupe uses knowledge graphs to create Beauty Genius, a personal beauty assistant for customized product recommendations.

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