Cloud Operations
Neo4j
Graph solutions on Neo4j for recommendations, fraud, and knowledge graphs.
Service snapshot
We build graph data models and applications on Neo4j—covering data ingestion, Cypher optimization, and integration with analytics and AI workflows.
- Graph schema design and migration from relational sources.
- Efficient Cypher queries, indexing, and caching strategies.
- Graph algorithms for recommendations, fraud, and entity resolution.
Where we focus
What we deliver
- Graph schema design and migration from relational sources.
- Efficient Cypher queries, indexing, and caching strategies.
- Graph algorithms for recommendations, fraud, and entity resolution.
- Integration with APIs, BI, and LLM-based retrieval.
Proof of value
Outcomes you can expect
- Connected insights through graph-first modeling.
- Faster queries and lower latency for graph workloads.
- Ready-to-use graph features for ML and LLM applications.
- Operationalized graphs with monitoring and backup plans.
How we work
Engagement building blocks
Each engagement combines strategy, build, and adoption. We leave your teams with the assets, playbooks, and operating rhythms needed to keep improving after launch.
Neo4j
Graph modeling
Schemas that mirror relationships, enabling performant graph queries.
Neo4j
Algorithms & features
Built-in graph algorithms and embeddings that power downstream use cases.
Neo4j
Integration & ops
Pipelines, APIs, and monitoring that keep Neo4j reliable in production.
Ready to explore how Neo4j can move the needle?
We’ll align on the outcomes that matter, assemble the right team, and start with a fast, low-risk path to value.