Unifying Graph, Document, and Search to Power AI-Ready Analytics at Scale

Arango provides a Contextual AI Data Infrastructure that serves as a trusted data backbone for a unified System of Context. This foundation supports government organizations, including the Department of Defense (DoD) / Department of War (DOW), Civilian Services, Intelligence Agencies, Law Enforcement, and Health and Human Services (HHS), as they develop and scale enterprise AI solutions that deliver accurate, explainable insights, improved operational outcomes, and reduced data infrastructure costs.

The Arango AI Data Platform integrates multi-model and multimodal data while preserving critical elements of enterprise knowledge, such as data relationships, domain-aware semantics, lineage, provenance, and temporal and operational signals. All data is managed under enterprise-grade governance, security, compliance, and control.

At the center of the platform is a highly scalable multi-model database that brings together graph, vector, document, and key-value data, along with full-text, geospatial, and vector search capabilities. This architecture enables the System of Context by connecting enterprise data with large language models (LLMs) so AI applications produce results that are accurate, transparent, and aligned with business needs.

Building on this core, the Arango AI Suite adds automated data pipelines, multimodal ingestion, AIOps and MLOps capabilities, LLM integrations, Graph Analytics, agent-based frameworks for context-aware Hybrid/GraphRAG, GraphML, natural language interfaces, and GPU acceleration. Together, these capabilities support faster deployment, scalable innovation, and consistent return on investment.

Organizations such as NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys, and Articul8 rely on Arango to enable enterprise AI with context, confidence, and scale. Learn more at arango.ai, or through Arango’s LinkedIn, YouTube, and G2 pages.