Neo4j, Amazon Neptune, or Stardog: which platform do you recommend?

Neo4j for teams that want the fastest developer velocity and best tooling ecosystem. Neptune when you're already deep in AWS and need managed operations. Stardog when RDF, SPARQL, and reasoning over ontology matter (common in pharma and government). We recommend based on your existing stack and team skills, not a vendor bias.

How long does a first knowledge graph deployment take?

Six to ten weeks from kickoff to a queryable graph in your VPC. Weeks 1 to 2: ontology and data audit. Weeks 3 to 6: ETL from source systems + query library. Weeks 7 to 10: hardening, docs, and knowledge transfer.

Do we need to migrate our existing data warehouse?

No. Knowledge graphs sit alongside your warehouse, not on top of it. The graph typically holds the entity/relationship layer; the warehouse keeps its role for aggregate analytics. Data flows from source systems into both.

Can you help us hire a graph team after you leave?

Yes. Every engagement includes a hiring rubric (Cypher/SPARQL screens, system design questions, take home) and we'll interview candidates alongside your team for the first three hires at no additional cost.

AI & Machine Learning

Enterprise Knowledge Graph Consulting

Ground your AI in a knowledge graph your compliance team can audit. Neo4j, Amazon Neptune, RDF: deployed in your VPC, in weeks.

Request Confidential Briefing Talk to an architect

What is enterprise knowledge graph consulting?

The Answer

Enterprise knowledge graph consulting is the design and implementation of a connected data layer — on Neo4j, Amazon Neptune, or RDF — that grounds AI systems in your organization's verified facts. It replaces guesswork with a queryable model of your entities and relationships, so LLM answers become accurate, explainable, and citable for regulated industries.

What you get

Three outcomes we commit to before we start.

Ontology before code

A senior architect models your domain (entities, relationships, constraints) before we write a line of Cypher. The ontology is versioned, reviewed, and becomes the contract every downstream system reads against.

Deployed in your VPC

Neo4j, Amazon Neptune, or Stardog inside your AWS/Azure/GCP boundary. Data never leaves. Every query is logged. Access controls map to your existing IAM.

IP transfer from day one

You own the graph schema, the ETL, the query library, and the documentation. When we exit, your team can operate it: no per seat licensing, no revenue share, no lock in.

See the system

From ontology to a queryable graph in your VPC

Not a slide deck: the architecture your team inherits and the traversal your analysts will actually run. Forward this to whoever signs off on the platform choice.

architecture: ontology to production

IP: 100% yours

Model

ontology first

Build

Neo4j / Neptune

Hand off

IP is yours

query console: what traversal looks like

6 to 10 weeks to first graph

Query

Which entities are within 3 hops of this sanctioned party?

4 entities found within 3 hops: 2 shell companies [1], 1 shared address [2], 1 shared director [3]. A relational query needs 6+ joins; this took one traversal.

[1]entity_graph.ownership · 2 hops out

[2]kyc_registry.addresses · shared record

[3]corp_filings.directors · cross referenced

✓ ontology v3.2 · versioned3 hop traversal, not 6+ joinsIP: yours, no lock in

The Guaranteed Production Pilot

Fixed scope · Written target

A production Knowledge Graph Consulting system in your VPC: audited, documented, owned by your team.

Not a slide deck and not a sandbox demo: a working Knowledge Graph Consulting deployment inside your own cloud boundary, mapped to your compliance controls and handed over with the schema, the eval harness, and the runbook.

Speed

Architecture and success criteria signed off in week one. First working slice running in your environment inside 30 days.

Zero effort

Fully done for you. Our senior squad owns ontology, build, evals, and compliance mapping: your team reviews and signs off, nothing more.

Risk reversal

Fixed scope, fixed price, and a measurable success target agreed in writing before we start. Miss the target and you don't pay for the pilot.

Request a scoped pilot

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