We leverage Neo4j Knowledge Graphs and Graph Data Science to highlight latent Multi-Order effects in both operational and analytics data. This reveals entity relationships, providing excellent views into customer and product journeys along with fraud detection and supply chain tracing.

Graph Data Science enables advanced feature engineering for machine learning, improving regression and clustering models hidden in traditional data stores.

Our services leverage GraphRAG (Retrieval-Augmented Generation) to unlock the potential of advanced AI. By combining generative AI workflows with foundational LLMs, we develop systems that dynamically retrieve and generate domain-specific content with precision.

We surface ontologies from purpose-built Knowledge Graphs to derive high-level concepts. This layer reveals topic coverage and highlights content omissions, ensuring your graph evolves with your business needs.

We deploy Agentic Systems that use MCP Servers for tool-calling and directed knowledge retrieval. Integrating Gemini 3.x on Vertex AI establishes a robust backbone for highly specific, automated business responses.