Data² reView platform, is the only fully explainable AI system designed specifically to meet the rigorous demands of all high-stakes sectors, offering complete traceability, audit-ability, and zero hallucinations. This ensures every insight is solely derived from the client’s data, providing unmatched reliability and verifiability. Data² reView enables government, finance, healthcare, and energy sectors to aggregate diverse data types (structured, unstructured, and time series) and derive actionable, explainable insights. Using a framework of AI-driven data ingestion, graph-based knowledge representation, and advanced multi-modal reasoning, reView delivers simultaneous, verifiable insights that surpass current systems, empowering clients with high-confidence, secure AI insights. - Automated Graph Data Model Creation with Baseline Enrichment: Leverage AI-driven schema inference and entity resolution to automatically construct a graph data model from diverse data sources (structured, unstructured, and time series). This model creation includes baseline enrichment functions such as: - Entity Disambiguation and Relationship Inference: Automatically resolve and connect entities across data sources, mapping relationships to build a cohesive graph. - Semantic Categorization and Clustering: Enrich data by categorizing and grouping similar entities, providing foundational context for further analysis. - Cross-Modality Integration: Combine insights from structured, unstructured, and temporal data within a unified graph schema, generating a versatile and context-rich data model. - Explainability and Autonomous Reasoning: Unlike competitors, offer enhanced explainability that meets rigorous government and enterprise compliance requirements. Position the platform as superior in transparency, making it ideal for regulated sectors. - CSP-Agnostic and Zero-Trust Architecture: Highlight the platform’s CSP-agnostic nature, allowing seamless integration across various cloud providers without compromising security. Emphasize zero-trust protocols as a response to high-stakes data security. - Cross-Modality Reasoning and Graph-Driven Analytics: Position the platform’s automated graph generation and natural language graph interface as innovative tools for addressing complex multi-source data, with applications in network analysis, predictive modeling, and anomaly detection. - Gen AI Solution Agility: Highlight the platform’s ease in developing and deploying Gen AI applications, with natural language and no-code/low-code interfaces that streamline data interaction, modeling, and visualization.