Build with Fluree
Fluree partners with ISVs, systems integrators, and technology platforms to embed a governed, AI-ready data foundation into their solutions — accelerating time-to-value and delivering best-in-class outcomes for their clients.
Lead the AI motion — don’t chase it.
Partners implementing Fluree are ahead of the market, not catching up to it. The semantic, governed foundation is the moat — and we’ve already done the hard engineering so your team can deliver on it.
01 Expand and deliver next-generation AI capability
Offer your clients a competitive advantage in AI implementation while expanding your service offerings with our technology. Our platform complements your expertise with minimal integration effort.
02 Context is the new competitive moat
Competitors are building it now, and customers are already asking. Fluree is the fastest path to leading that motion.
03 Leverage a decade of work
Everyone rushing into semantic AI and GraphRAG is starting from zero. Fluree already solved the hard problems — entity resolution, provenance, ontology, graph-layer security — with production deployments at F500 organizations.
Immediate AI + Data ROI
Months → Weeks
Cut implementation from months to weeks by eliminating manual data mapping. Slash token costs by sending only what’s relevant to the model.
Security & Governance
Zero Leaks
Data security policies are embedded across all data and users. Nothing leaks to an LLM or unauthorized user — ever.
True AI Accuracy
100% Cited
Every answer is context-aware and grounded in your enterprise knowledge. Built-in lineage makes outputs trustworthy and explainable.
Zero Hallucinations
Why we can
- AI issues deterministic queries against a connected knowledge graph — it retrieves, never generates.
- Semantic ontology provides full context, structure, and meaning upfront.
- Every response is verifiable against the source data via GraphRAG, not model interpretation.
Why they can’t
- Traditional RAG feeds the model raw text chunks and asks it to synthesize an answer — putting accuracy responsibilities on the model itself.
- Without structure, semantics, or relationships, the model is forced to infer and fill gaps, leading to hallucinations.
Security & Governance
Why we can
- Policy-based access controls are embedded at the data layer, not the application layer.
- Permissions travel with the data — every AI query enforces role-based rules automatically.
- No sensitive data leaks into embeddings or vector stores outside of governance scope.
Why they can’t
- Most AI stacks treat security as an application-layer concern — filters and guardrails applied after data is already exposed to the model.
- That creates gaps: sensitive data leaks into embeddings, vector stores lack row-level security, and governance becomes a manual, fragile afterthought that breaks at scale.
Speed & Quality
Why we can
- Semantic graph resolves complex, cross-silo queries in a single pass — no data integration needed.
- AI receives rich, pre-connected context instead of stitching fragments from siloed systems.
- Fewer calls, faster responses, and higher accuracy from day one.
Why they can’t
- Siloed systems force AI into multi-hop retrieval — query one database, then another, then reconcile conflicts. Each hop adds latency, introduces inconsistency, and degrades output quality.
- Without unified, pre-connected data, teams spend more time engineering around limitations than delivering value.
Technology Partners
Integrate your platform with Fluree. Joint go-to-market.
Consulting & Implementation Partners
Build a Fluree practice. Access enablement materials, demo environments, and technical training.
ISV & Ecosystem Partners
Embed Fluree as the AI-ready data foundation inside your product. Differentiate your solution with governed, explainable enterprise AI — without rebuilding the semantic layer yourself.