Data modeling and graph architecture
A precise model from the start: entities, relationships and constraints designed around the questions you actually need answered, not a generic schema.
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A firm for problems that do not fit in rows.
We help enterprises move past traditional data approaches by building graph-based systems that show how their data is actually connected, then take them all the way to production.
Four things, done properly.
Graph analytics and AI applications
Community detection, centrality, similarity and GraphRAG applied to real business problems rather than demos.
Entity resolution and risk detection
One customer, one record. Hidden rings, shared devices and unusual paths surfaced before they turn into losses.
Concept through to production
We do not stop at the prototype. Pipelines, deployment and handover, so the system belongs to your team when we leave.
Led by the person who wrote the book on it.
Tim Eastridge founded Eastridge Analytics after 15 years designing data architecture inside enterprises, building the systems that uncover hidden relationships and make AI usable at scale.
He wrote Graph Data Science with Python and Neo4j, belongs to the Neo4j Ninja program, and spoke at NODES 2024. The work runs from fraud detection at global banks to knowledge graphs in private equity and pandemic-relief oversight for the PRAC.
- AuthorGraph Data Science with Python and Neo4j, Orange AVA, 2024
- Neo4j NinjaCommunity program for Neo4j experts
- NODES 2024Speaker at Neo4j's developer conference
- 15+ yearsData architecture and analytics strategy
Who we are.
A small team, which is why you always know who is doing your work.
How we operate.
IntegrityConsistency in every interaction, and the maturity to say when a graph is the wrong tool.
Interdependency and respectThe best systems come from working alongside your team, not around it.
Living into growthA commitment to continuous learning, in the tooling and in ourselves.
Be presentDedicated attention on each project. You will always know who is doing the work.
What sets the work apart.
Small team, senior people. How we hire
Graph firstRelationship modeling is the core skill here, not a side offering.
Deployment, not slidewareSystems that run in production, on your infrastructure, with your data.
The hard casesFraud rings, duplicate identities, tangled supply chains.
Measurable resultsBacked by the 60-day guarantee: if it is not delivering, we keep working.
Neo4j depthNinja program member, NODES speaker, and author of the Neo4j graph data science book.
Products, not just projectsArgus and Bridgr run on the same foundations we deploy for clients.
Companies served and partners
Technology partner
