Arango Contextual Data Platform

Context changes everything.

The graph-nativedata foundation for agentic AI.

Give every agent, app, and AI workload the same live view of your business. Consistent answers. Explainable decisions.
Production-ready from day one.

Watch: The Context Gap — Why Frankenstacks can’t solve it and how Arango does

Proven in 200+ production environments worldwide

Build context once.
Reuse it everywhere.

Arango ingests fragmented enterprise data and builds a graph-native context layer that your AI agent, app, and workload queries directly.

No pipelines rebuilding context at runtime. One platform with all the data models from source data to AI output.

Arango’s Contextual Data Layer sits between your enterprise data sources and your AI agents, apps, and LLMs. Fragmented data from dozens of systems flows in. The platform connects, understands, retrieves, governs, and persists it as a unified contextual data layer built on a graph-native multimodel data foundation.

What Arango’s contextual data layer delivers in production.

Explainable Answers

Agents grounded in a unified live contextual data layer produce outcomes that are explainable.

Faster Time to Production

AutoGraph, Auto Ingest and Retrieval, and pre-built MCP integrations cut the time to build and operate a reliable, scalable AI data architecture.

Traceable Decisions

Graph-native lineage means you can trace every decision back to the source. Auditable end to end.

Simplified Data Architecture

One platform replaces the need to glue together graph, vector, document, key-value, and search. Less to build, less to maintain.

Enterprise-Grade

HA/DR, RBAC, elastic scaling, and deployment flexibility built into the platform, not bolted on afterward.

Massive Scale. Made Easy.

Horizontal scale across graph, vector, document, key-value, and search. No rebuilds required.

PROVEN IN PRODUCTION

Performance,
efficiency,
and trust.

Query, index, and analyze enterprise data in real-time. Arango’s unified architecture eliminates the overhead of moving data between systems.

Replace dozens of bolted-together components with one governed platform. Less infrastructure to build, maintain, and debug.

Why leading organizations choose Arango.

Other platforms give you building blocks. Arango automates the hardest parts.

A Frankenstack makes your team do all the work: build the graph, tune the retrieval, write queries across multiple systems. Arango automates the three hardest parts.

Your enterprise knowledge graph builds itself

Most knowledge graph projects spend months on ontology design before anything ships. Arango AutoGraph ingests your enterprise data and automatically builds a governed knowledge graph: the foundation of your live contextual data layer. Entities extracted. Relationships resolved. Schema maintained as your data changes. Production in weeks, not months.

Automatically builds knowledge graph — AutoGraph ingests structured, semi-structured, and unstructured enterprise data and automatically builds a governed knowledge graph. Entities extracted. Relationships resolved. Schema maintained as your data changes.

FOR DEVELOPERS

Build AI agents, assistants,
and apps faster.

Everything you need to go from zero to production.

Explore AutoGraph

Automatically build a knowledge graph with your own data.

Official drivers and code samples for every major language and framework.

Download and start building locally in minutes.

Your favorite stack, ready to go.

Ready to eliminate the Frankenstack?

Give your AI the context it needs.

Talk to our team and see how Arango gives your AI agents, assistants, and apps the trusted foundation they need to work in production.