Introducing the Arango AI Data Platform – built on the trusted multi-model foundation of ArangoDB

A New Chapter Built on the Foundation You Trust

At Arango, every new chapter begins with our community. Chief Product and Technology Officers, Heads of Engineering, Developers, Architects, and leaders like you have pushed us to think bigger – to make data not only connected, but intelligent.

Today, we’re excited to announce the next step in that journey: the launch of the Arango AI Data Platform, a trusted data foundation for the age of Contextual AI – where systems don’t just store data, but turn it into accurate, actionable insights.

As AI moves from hype to repeatable ROI, one truth is becoming clear: intelligence needs context – the new force multiplier for enterprise AI success. Context gives AI the ability to understand problems before generating answers – grounding intelligence in business reality.

This evolution builds on everything you already know and love about ArangoDB.

Our multi-model database remains at the heart of it all – unifying graph, vector, document, key-value data, with full-text search in one environment. That architecture has always been our superpower. Now it powers something even greater: the ability for AI to reason, explain, and act with business context.

Why Context Matters Now

The first wave of enterprise AI showed us what was possible – but also what was missing.

Models were powerful, but disconnected from the business context that gives data meaning.

Contextual AI changes that. It grounds intelligence in the relationships, semantics, and intent behind data – enabling AI to deliver accurate answers, explainable outcomes, and trusted decisions.

This is what we call the System of Context – the bridge between data and intelligence. It connects, relates, and reasons across every data type, transforming fragmented information into business context that helps AI to understand relationships, meaning and intent. 

Without it, AI can generate output – but not business advantage. Context is what turns data into accurate, actionable insight.

Introducing the Arango AI Data Platform

The Arango AI Data Platform brings this System of Context to life. It’s an integrated environment where developers can build and scale enterprise-grade AI applications – without the complexity of integrating multiple databases and tools.

Arango AI Data Platform includes:

• A massively scalable multi-model and multimodal platform that unifies graph, vector, document, and key-value data with full-text search data.
• Built-in AI Services for GraphRAG, HybridRAG, and BYO LLM support – enabling teams to use the models they choose while preserving accuracy and explainability.
• Natural-language querying that turns plain English into optimized AQL commands – so teams can go from business questions to contextual answers in seconds, while boosting developer productivity.
• Deployment flexibility across AWS, GCP, Azure, or NVIDIA GPU acceleration – giving enterprises freedom without fragmentation.

Contextual AI in Action

Imagine AI that perceives your business the way your smartest analyst does – understanding not just the data, but the story behind it.

• In healthcare, connecting patient records, imaging data, and genomic insights can help identify personalized treatments with confidence.
• In retail, combining product data, sentiment, weather, and supply-chain trends helps anticipate demand with precision.
• In fraud detection, analysts can connect transactions, device fingerprints, and communication logs – signals scattered across systems – to uncover a coordinated attack in seconds, not days.
• In telecommunications, connecting network telemetry, device logs, and customer tickets helps detect root causes faster and prevent outages before they happen.
• In national security, integrating case intelligence, surveillance data, and open-source insights helps agencies uncover emerging threats before they intensify.
• In customer support, a co-pilot can combine billing data, product logs, and chat transcripts to understand not just what a customer said, but why they’re frustrated – resolving issues before they escalate.

And across every enterprise, the same principle applies.

Most organizations have valuable knowledge scattered across CRMs, ERPs, emails, documents, and chat systems – locked in silos that prevent AI from seeing the full picture.

Contextual AI changes that — moving organizations from disconnected data to intelligence that understands relationships, meaning, and intent. The System of Context makes it possible. It unifies every source and maps how things relate, giving AI the full story it needs to reason, explain, and act with confidence.

That’s what Enterprise Context Management delivers: it moves companies beyond retrieval toward true understanding — empowering every employee, in every function, to get precise, explainable answers in seconds. The result: AI that doesn’t just find information, but understands it — grounding every answer in business reality.

That’s the promise of Contextual AI — and the power behind the Arango AI Data Platform.

Evolving Our Brand for the Future

With this launch, we’re also introducing a new brand identity and a new website.

Our company name is evolving from ArangoDB to Arango – reflecting a broader vision while keeping the technology you rely on at the center of everything we do.
ArangoDB remains at the core of our platform – the trusted multi-model database loved by developers and now powering the Arango AI Data Platform.

We’ll continue to invest deeply in it and collaborate closely with you to ensure it aligns with your roadmap and future needs – because it’s the technology that makes Contextual AI possible.

Looking Ahead

The future of enterprise AI won’t be defined by who has the biggest model – but by who can connect their data across every system into meaningful understanding of problems in context.

That’s what we’re building – together – where context becomes the foundation for accuracy, scalability, and trust in enterprise AI.

Thank you for being part of our journey. We can’t wait for you to explore what’s next!

Explore the next chapter on October 27, 2025 at arango.ai