Context changes everything.
The graph-native 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.
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.
2000x
Faster workloads
Query, index, and analyze enterprise data in real-time. Arango’s unified architecture eliminates the overhead of moving data between systems.
70%
Simpler Stack
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.
FOR DEVELOPERS
Build AI agents, assistants,
and apps faster.
Everything you need to go from zero to production.
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.
