RDFox is a rule-driven artificial intelligence technology developed by three professors from the University of Oxford's Department of Computer Science, drawing on decades of research in Knowledge Representation and Reasoning (KRR). Its uniqueness lies in: 1. Powerful AI reasoning capabilities: RDFox can create knowledge from data like humans, reason based on facts, ensuring result accuracy and interpretability. 2. High performance: As the only in-memory knowledge graph, RDFox significantly outperforms other graph technologies in benchmarks, capable of handling billions of triples of complex data storage. 3. Scalable deployment: RDFox offers high efficiency and optimized space usage and can be embedded in edge and mobile devices to operate independently as the brain of AI applications. 4. Enterprise-grade features: Including high performance, high availability, access control, interpretability, human-like reasoning capabilities, data import, and API support. 5. Incremental reasoning: RDFox's reasoning capabilities are updated instantaneously during data addition or deletion without performance degradation or the need for reloading.