We’re looking for a pilot customer to co-create what might be the world’s first central customer-intelligence brain, powered entirely by Neo4j and the new Neo4j AI Agent.
What It Is
A solution where product managers, marketers, and strategists can ask their AI Agent to generate:
- Business strategies
- Marketing and sales content
- Product design specifications
- Value propositions
…all grounded in the company’s own customer data, not generic internet averages.
That’s what this project is about — a GraphRAG-powered knowledge graph where every node, relation, and embedding is derived from real qualitative data (e.g., customer interviews, journey research, focus groups, or feedback transcripts).
What We Bring
We provide a complete ontology — the result of 6+ years developing our Customer Progress Design framework.
It defines:
- Clear, mutually exclusive node types (e.g., Jobs-to-be-Done, Pains, Gains, Emotions, Triggers)
- Meaningful, directional relationships
- Customer journey phases and contextual properties (vector embedding)
- A robust pipeline for creating valid triples and vector embeddings for every entity
This enables full semantic connectivity across all your qualitative data — ready for retrieval, reasoning, and generation through the Neo4j AI Agent and/or MCP.
Why It Matters
Companies spend enormous time and money “evaluating” qualitative data manually.
With a Customer Intelligence Graph, they can skip straight to creating meaning:
- Generate insights, summaries, and recommendations instantly
- Let AI reason over connected context, not isolated fragments
- Produce high-quality, business-relevant content in minutes
In short: data understanding becomes a superpower.
Pilot Opportunity
We’re offering pilot pricing for the first company that joins us in this initiative.
Ideal candidates:
- Already collect rich qualitative data (interviews, surveys, feedback, etc.)
- Want to transform it into a living, intelligent knowledge base
- Have an innovation or research budget to invest
What You’ll Get
- A production-ready Neo4j knowledge graph built on a mature ontology
- Embedding-based reasoning and retrieval for all qualitative data
- Full integration with Neo4j AI Agent for dynamic, natural-language use
- A pioneering case study showcasing your company as an early adopter
If your organization wants to elevate qualitative customer understanding to the graph-AI level, I’d love to discuss collaboration.
Contact me (Eckhart Boehme) for details — or share this with your innovation lead, research director, or AI program manager.
Let’s build the future of customer intelligence together based on Neo4j.