Use case
Public sector
Mine vast, complex datasets for actionable insights, modernize legacy systems, and drive more accurate, explainable, and trustworthy AI.
Improve decision-making
Get the context needed for accurate, explainable, and trustworthy decisions and AI outcomes.
Adapt and scale
Easily evolve data models and scale as agency and institutional needs change.
Get intuitive analytics
Make digestible, actionable insights accessible across agencies and institutions.
Enhance cybersecurity
Identify and respond faster to threats with certified, compliant security.
Optimize public sector mission operations and logistics
Advance AI leadership
Ground your LLMs with a knowledge graph for accurate, explainable, and trustworthy outputs.
Enhance intelligence operations
Detect and disrupt threats with swift, real-time analysis. Connect global datasets to better inform security measures.
Strengthen situational awareness
Enhance logistics, readiness, and multi-branch collaboration. Sharpen defense logistics and tactical decision-making.
Deliver better citizen services
Improve citizen experience and inter-agency operations. Align policy execution with data-driven outcomes.
Improve educational experience
Build a knowledge layer to power recommendation models, such as identifying which course and learning method to recommend for a student, or what curriculum to develop for the future job market.
Use cases
Build powerful applications with ease using Neo4j
Enhance network security
Improve account/identity control, reputation scoring, threat detection, access control, and zero trust.
Optimize supply chains
Optimize planning, disaster response, and risk analysis. Get real-time tracking and identify alternate routes.
Improve personnel management
Improve talent enrichment, career management, skills management, organizational design, and recruiting.
Quickly detect fraud
Find and prevent fraud, such as anti-money laundering, claims fraud, identity theft and more.
Strengthen public safety
Connect people, places, incidents, and assets to uncover threats and improve response.
Government outcomes using Neo4j
How the US Army modernized its core equipment tracking system.
“The scale of the information Neo4j handles is vast. For example, just one of the tanks we track includes ~10 million parts records, creating more than 15 million possible relationships among the components for our cost allocation algorithms to work through.”
Preston Hendrickson
Leader of technical team for the U.S. Army’s Operating and Support Management Information System
How Lockheed Martin Space created a product 360.
“If we see a problem emerging in a particular area, we need to know everything there is to know about that immediately. We need a quick picture of everything in order to respond to that. We can’t wait two weeks to find out why a part is failing.”
Ann Grubbs
Chief Data Engineer, Lockheed Martin Space
Loved by devs. Deployed worldwide.
1,700+ organizations build on Neo4j for data breakthroughs.
Built for the security and compliance requirements of the public sector
Neo4j is committed to protecting customer data through a comprehensive security and compliance program. Our security posture includes independent audits, internationally recognized certifications, and ongoing governance practices that help organizations meet regulatory and mission requirements.
For the latest information on certifications, attestations, and security documentation, visit our Trust Center.
Explore resources
The most powerful fraud prevention tool for federal agencies: Graph technology
Find out how to prevent and uncover sophisticated fraud.
Why public sector AI needs a workforce knowledge layer
See how to turn workforce data into AI-ready intelligence.
From data chaos to clarity: How connected data can improve US government decision-making
Basics of graph
Brush up on the fundamentals of graph technology, such as how to build graphs, the Cypher query language, and more.
Graph data modeling fundamentals
Learn how to model your data as an interconnected knowledge graph.
Introduction to Neo4j graph data science
Find out how to work with graph algorithms to dig deeper into connected data for insights.
Basics of path finding
Learn how to find the shortest path between nodes using graph data science.
GenAI fundamentals
Find out how to build contextual AI for accurate, explainable outputs using graph.
Get better insights to improve decision-making in the real world
Find out how to manage complex, interconnected data.
How Peraton enhanced its cybersecurity capabilities
Hear how they created a complete view of potential threats.
The role of knowledge graphs in AI accuracy
Learn how to feed LLMs the right context to boost AI accuracy and traceability.
