Case Study: Data² builds a GenAI analytics platform with Neo4j

Data² frees 50% of analyst workload with Neo4j

Data², a company founded by military veterans and energy experts, faced the challenge of building an AI analytics platform that could analyze complex relationships within large, unstructured datasets from defense, intelligence, and energy sectors. Their existing relational databases and triple stores were insufficient, struggling with scalability and performance, which hindered their development of a generative AI capability. They turned to vendor Neo4j and its AuraDB graph database service to power their platform.

The solution implemented by Neo4j was a knowledge graph that served as a dynamic foundation for Data²'s reView platform. This enabled the integration of GraphRAG, which combined knowledge graphs with large language models to provide accurate, evidence-backed answers to user queries. The results included empowering analysts to interrogate vast datasets and receive transparent, plain-English answers, freeing up an estimated 50% of analyst workload. Neo4j provided the scalable technology that allowed Data² to build its leading GenAI platform for high-stakes decision making.

Data²