Persistent Neo4j Graph Data & AI Solutions
Persistent, a global reseller and partner of Neo4j, helps enterprises turn connected data into real-time, explainable intelligence—powering fraud detection, customer 360, knowledge graphs, and GenAI with the Neo4j graph data platform.
Turn Relationships into Real-Time Intelligence with Graph
Persistent’s Neo4j practice delivers strategy-to-scale services and ready-to-deploy accelerators that connect siloed data into a trusted graph—so enterprises can detect what other models miss, ground GenAI in context, and act on relationships in real time.
- Fraud, AML & Financial Crime: Connect transactions, identities, devices, and accounts to surface fraud rings and money-laundering networks in milliseconds.
- Customer 360, Entity Resolution & MDM: Resolve entities, build golden records, and deliver a relationship-rich 360° view across customers, products, and households.
- Knowledge Graphs & GraphRAG for GenAI: Power accurate, explainable GenAI with knowledge graphs and GraphRAG that link structured and unstructured data.
- Graph Engineering, Accelerators & Managed Services: Accelerate delivery with graph accelerators, migration expertise, and managed services across the data and AI lifecycle.
Offerings and Solutions
Graph-Powered Fraud, AML & Financial Crime
Detect coordinated fraud that scores as normal in every transaction-level model—because the signature lives in the relationships.
Key Benefits:
- Find fraud patterns up to 1000x faster than relational databases—no complex JOINs required
- Surface fraud rings, synthetic identities, and money-mule chains across 6+ degrees of separation in under 50 milliseconds
- Real-time graph risk scoring that enriches—rather than replaces—your existing rules engine and ML stack
- Anti-money-laundering detection of circular flows, layering, and smurfing patterns
- Entity resolution to expose shared devices, addresses, and intermediaries
- Fewer false positives and lower investigator case volume through relationship context
Customer 360, Entity Resolution & Master Data Management
Move beyond flat records to a relationship-aware view of every customer, product, and hierarchy.
Key Benefits:
- Unify individuals, organizations, accounts, and products into a single, queryable 360° view
- Context-aware survivorship and explainable, audit-ready master-data lineage
- Discover hidden links—shared addresses, devices, intermediaries, and indirect ownership chains
- Automate household and corporate hierarchy mapping to cut steward workload
- Power next-best-action and recommendations from connected customer signals
- Reduce manual duplicate resolution effort with graph-based match evidence
Knowledge Graphs & GraphRAG for GenAI
Give AI agents trusted, explainable context by grounding them in an enterprise knowledge graph.
Key Benefits:
- GraphRAG that connects structured and unstructured data for accurate, cited answers
- 30–50% lower token cost and ~49% fewer retrieval failures than plain RAG
- Explainable, traceable AI reasoning across knowledge-graph paths
- Reusable institutional memory for agents—reasoning provenance, causality, and precedent
- Automated knowledge-graph creation from documents using ontology-driven pipelines
- Multi-modal knowledge linking text, images, and structured data
Risk, Compliance & Regulatory Intelligence
Map complex entity relationships to make compliance traceable, explainable, and audit-ready.
Key Benefits:
- Regulatory knowledge graphs connecting regulations, entities, obligations, and controls
- Beneficial-ownership and UBO mapping across complex corporate hierarchies
- End-to-end data lineage and aggregation for regulatory reporting
- Network-based surveillance to detect collusion and prohibited patterns
- Impact analysis tracing how regulatory change affects products and processes
- Multi-dimensional credit-risk and loan-decisioning intelligence
Identity, Access & Cyber Threat Intelligence
Answer ‘who can access what, and why’ and reveal hidden attack paths across your estate.
Key Benefits:
- Real-time access decisions across complex role hierarchies, delegation, and inheritance
- Access recertification to find orphan accounts, excessive permissions, and SoD violations
- Threat knowledge graphs unifying assets, vulnerabilities, threats, and attack paths
- Automated vulnerability correlation and risk-based prioritization
- Reduced Mean Time to Detect (MTTD) and faster investigations
- Provenance tracking for audit, compliance, and remediation
Graph Platform Engineering, Migration & Managed Services
Stand up, scale, and run production graph platforms with Persistent’s full-lifecycle expertise.
Key Benefits:
- Graph strategy, advisory, and data modeling tailored to your use cases
- Data integration and migration from relational and legacy stores to Neo4j
- Production-grade KG pipelines with automated dedupe and schema validation
- Performance tuning of models, queries, and pipelines for scale and efficiency
- Governance, observability, and Responsible AI built in
- Managed services for continuous optimization and value realization
Solutions & Accelerators
| Accelerator / Solution | What it does |
|---|---|
| GraphCortex | Transforms ontologies into production-ready knowledge-graph queries while automating entity dedupe and schema validation (96% test coverage). |
| iAURA – Entity 360 | Agentic AI enterprise data platform using knowledge graphs, vector databases, and AI agents to modernize, model, govern, and analyze data—powering entity resolution and Customer 360 / MDM. |
| Knowledge Manager | Enterprise knowledge layer / GraphRAG delivering 30–50% lower token cost, 100% citation coverage, and ~49% fewer retrieval failures than plain RAG. |
| Graph Fraud Intelligence | Real-time entity graph for financial-crime detection—surfacing fraud rings and mule chains via 6+ hop traversal in under 50ms, alongside existing rules/ML. |
| Loan KG | Knowledge-graph-driven loan underwriting with multi-agent risk assessment—~40% faster processing and ~30% better policy-compliance accuracy. |
| Context Graph | Reusable institutional memory for AI agents—capturing reasoning provenance, temporal causality, and structural similarity for evidence-based decisions. |
| Pi-OmniKG | Knowledge graphs for biomedical R&D data mining, accelerating evidence-based hypothesis generation by ~60% in life sciences. |
| ThreatKG | Cybersecurity knowledge graph modeling threats, vulnerabilities, assets, and attack paths for unified visibility and prioritized response. |
| TuneLab | AI/ML and graph performance-optimization lab focused on tuning models, queries, and pipelines for scale and efficiency. |
Industry Use Cases
BFSI
Real-time transaction fraud monitoring, AML & multi-hop layering, loan decisioning & credit risk, customer 360 & next-best-action.
Insurance
Claims fraud & hard-to-detect collision rings, policy and beneficiary networks, subrogation analysis.
Healthcare & Life Sciences
Patient / member 360, provider networks & care coordination, drug-discovery and biomedical knowledge graphs (Pi-OmniKG).
Retail, CPG & Supply Chain
Customer 360 & recommendations, multi-tier supply-chain visibility, route and inventory optimization.
Manufacturing & Industrial
Digital twin, supply-chain resilience, asset and bill-of-materials networks.
Technology & Cybersecurity
Threat knowledge graphs, IAM modernization, and GraphRAG copilots.
Trends we help address
- GraphRAG and agentic AI grounded in enterprise knowledge graphs
- Real-time fraud and financial-crime detection at network scale
- Connected, trusted, and explainable data for AI
- Entity resolution and golden-record master data management
- Supply-chain resilience and network optimization
Persistent Advantages
Global Reseller & Partner of Neo4j with joint GenAI and knowledge-graph innovation
4,000+ data professionals and 50+ dedicated Neo4j experts
35+ years in Data & AI with an NPS of 78
A library of graph accelerators: GraphCortex, iAURA, Pi-OmniKG, ThreatKG, and TuneLab
Full lifecycle: Graph Strategy & Advisory → Data Modeling & Integration → Insights, Automation & Governance → Responsible AI
Proven delivery across BFSI, Insurance, Healthcare & Life Sciences, Retail, and Supply Chain
