Neo4j logo

Neo4j

Leader

World's leading graph database; Native graph storage for fraud detection and knowledge graphs, with GraphRAG enabling structured relationship context for enterprise AI.

75
AI Score
Grade B
AI Visibility Score (Beta)
Data & AnalyticsWebsiteUpdated March 2026

Brand Intelligence Graph

Company Overview

About Neo4j

Neo4j is the world's leading graph database platform, providing native graph storage and processing for applications that require understanding complex relationships between data entities — social networks, fraud detection, knowledge graphs, supply chain mapping, and recommendation engines. Founded in 2007 and headquartered in San Mateo, California with operations in Sweden, Neo4j pioneered the property graph model and the Cypher query language specifically designed for traversing graph relationships at scale.

Business Model & Competitive Advantage

The company has raised over $325 million in total funding from investors including One Peak Partners, Goldman Sachs, and Creandum. Neo4j's platform is available as open source (Community Edition), enterprise software, and Neo4j AuraDB (fully managed cloud). Major use cases include bank fraud detection (tracing money through networks of accounts), knowledge graphs for AI applications, network and IT operations management, and life sciences drug interaction research. The company serves thousands of enterprises including Fortune 500 companies across financial services, telecommunications, and research sectors.

Competitive Landscape 2025–2026

In 2025, Neo4j has experienced significant growth as graph databases became central to knowledge graph construction for retrieval-augmented generation (RAG) AI applications. GraphRAG — using knowledge graphs to provide structured relationship context to LLMs — has emerged as an important technique for enterprise AI applications where entity relationships matter as much as text content. Neo4j's 2025-2026 strategy emphasizes GraphRAG tooling, vector + graph hybrid search (combining semantic similarity with relationship traversal), and expanding AuraDB to serve the growing AI developer market alongside its traditional graph analytics customers.

Founded
2007
Headquarters
San Mateo, California
Curated content • Fact-checked and verified

Recent Activity

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8-K
8-K — 8-K

Material Event filed 2026-08-11

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From first graph algorithm experiment to production with Aura Graph Analytics

Most data has more graph structure than it lets on. Here’s how Aura Graph Analytics helps you find it, experiment with it, and put it to work.

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This Week in Neo4j: Ontologies, Agent Memory, GraphRAG, Visualisation and more

Check out what's new this week in Neo4j, including Ontologies, Agent Memory, GraphRAG, Visualisation and more

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From Agent Memory to Portable Skills

Grounded skill distillation on a context graph in the Neo4j Agent Memory Service (NAMS)An agent accumulates hard-won procedural knowledge inside a single workspace and single context window: how to triage a P1 incident, which tool to call first, or what “done”… Read more →

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What is a context graph?

If you ask an AI agent the same question twice and get a different answer, that’s a major issue. Without durable memory, context may not carry over between sessions. A customer support agent can approve a refund, lose the evidence… Read more →

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Constant-cost semantic memory for multi-agent systems

Give an agent persistent semantic memory with Neo4j as the single source of truth for both the domain and the conversational state

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One starter repo, three winners: Neo4j at Hack the Video Agent Context Graph

Last Thursday, 151 builders filled the AWS Builder Loft on Market Street for Hack the Video Agent Context Graph, hosted by HackerSquad with the AWS Builder Loft — one day, one theme, 37 projects, and four required tools: AWS Strands Agents for orchestration, OpenAI for reasoning, TwelveLabs for multimodal video understanding, and Neo4j for the context graph. Several teams, including the winner, used a Neo4j starter repo that showed how all the tools could work together. Here's what happened and why you should use a starter repo for your next hackathon!

8-K
8-K — 8-K

Material Event filed 2026-07-28

10-Q
10-Q — 10-Q

Quarterly Report filed 2026-07-28

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AgentMemory for .NET: A native sibling to Neo4j Agent Memory

AgentMemory for .NET: A native sibling to Neo4j Agent Memory Graph-native agent memory for the .NET world — built from scratch, and verified against Neo4j’s own Test Compatibility Kit. Authors: José L. Latorre · independent open-source community projectZaid Zaim, Developer Advocate, Neo4j If you build… Read more →

blog_post
This Week in Neo4j: Knowledge Layer, Agents, AI Memory, Cypher and more

Check out what's new this week in Neo4j, including Knowledge Layer, Agents, AI Memory, Cypher and more

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Neo4j Virtual Graph is now in public preview

Earlier this year, we launched Neo4j Virtual Graph in private preview. The response was clear: enterprises want to create knowledge graphs from the data they already have, and they do not want to move data to do so. Today, Virtual… Read more →

Key Differentiators

Market Leader

Neo4j is recognized as a market leader in the Data & Analytics sector, demonstrating strong industry presence and customer trust.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

75
→ Stable

Based on estimated brand signals. Historical tracking coming soon.

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