Trovares xGT by Trovares is an all-in-memory, scale-up parallel graph search engine designed for processing large amounts of unstructured data and tackling computationally difficult graph problems. It is capable of handling graphs with hundreds of billions of edges in real-time, utilizing available compute resources to maintain an in-memory graph. Trovares xGT enhances the training of AI models by identifying significant motifs and patterns from substantial datasets spanning extended periods. The software is compatible with x86-64, ARM64, and Power10 architectures, running on various systems from laptops to servers and mainframes.