Data Squared (Data²), a small business dedicated to helping public and private sector organizations unlock the full potential of their data, is partnering with Neo4j, a leading graph database and analytics company, to deepen the integration of Data²'s “reView” platform with Neo4j's graph-based technology to deliver “hallucination-resistant, explainable AI systems.”
Knowledge graph-based AI solutions model data as relationships between entities (such as people, places, events, and more), rather than rows in a table. This structure makes it easy to surface hidden patterns, connect diverse data sources, and answer complex questions that traditional databases can’t handle efficiently. This also ensures analysts can dissect exactly how their AI reached a particular conclusion or recommendation, according to Neo4j.
Data² has extensively leveraged Neo4j's robust graph database capabilities to power its reView platform.
Data²'s recently patented Graph and Hybrid retrieval-augmented generation (RAG) based AI systems utilize Neo4j's ability to model and traverse complex relationships within vast datasets, forming the foundational knowledge graphs that underpin reView's explainable AI capabilities.
Unlike traditional AI approaches that can generate convincing but inaccurate responses, Data²'s Graph RAG methodology anchors every AI-generated answer in verifiable, traceable sources through graph-connected evidence networks, the company said.
“Our partnership with Neo4j brings together the best of AI and graph database technology to deliver hallucination-resistant AI that can be verified, trusted, and understood," said Jon Brewton, CEO of Data². “With Neo4j’s graph backbone and our patented hallucination-resistant approach, we’re helping mission-driven teams cut through the noise and take action with confidence. Decision-makers need to rely on AI that provides robust information security, not opaque black-box systems.”
Data²'s reView platform, built on Neo4j's graph database foundation and protected by its patent portfolio, delivers:
- Patented hallucination resistance: Every AI-generated answer is anchored in verifiable, traceable sources through graph-connected evidence networks
- Full-cycle explainability: Visual traceability showing exactly what data was used to generate each AI response, with complete source attribution
- Unified data integration: Seamless integration of structured, unstructured, and time-series data into harmonized graph models
- Enterprise-grade security: Zero-trust architecture with cloud-agnostic deployment capabilities
- Natural language interface: Intuitive querying that enables non-technical users to access complex graph insights
- Multi-modal reasoning: Advanced capabilities that connect disparate data types through sophisticated relationship mapping
The solution is immediately available through both companies' sales channels, offering fast-track implementation programs, joint customer success initiatives, technical integration support, and proof-of-concept services using customers' data.
For more information about this news, visit https://data2.ai or https://neo4j.com.