Semantic observability for Neo4j property graphs. Declare checks in YAML, run them read-only, and get pass/fail verdicts with evidence — in your terminal and in CI.
Also from Graphora: our open-source text-to-knowledge-graph engine and Compass for tourism intelligence.
GraphCheck runs declarative checks — conformance, competency questions, drift — against your Neo4j graph and reports what passed, what failed, and what it could not evaluate.
GraphCheck never writes to your graph. It uses a read-only credential where the server enforces one, and rejects write-capable queries before they run.
Failed checks carry evidence — pointers to the offending graph elements, or the aggregate measurements behind a drift result — so findings are auditable.
Same graph plus same checks gives the same result, every time. No LLM guessing the verdict.
A stable exit-code contract, machine-readable results.json, and a self-contained HTML report that opens offline.
Solution Spotlight
A tourism intelligence solution built on the Graphora platform to detect demand shifts early, orchestrate action, and measure outcomes in one connected system.
Graph Command Center
Community intelligence, path replay, partner influence flow, and risk lenses in one view. Teams get connected signals instead of siloed charts.
Contextual GraphRAG Assistant
The assistant reads current page, selected node, and filters. It returns evidence-backed responses with dynamic charts and follow-up prompts.
Explainable Recommendation Workbench
Every recommendation includes rationale, evidence graph scope, confidence, and impact simulation so non-technical teams can approve and deploy faster.
Pilot Scoreboard
Track adoption, incremental revenue, and signal-to-action latency in one closed-loop system that ties decisions to observed outcomes.
From strategy to implementation, we provide end-to-end AI and knowledge graph consulting to transform your data into competitive advantage.
Custom LLM deployment, RAG systems, and document automation solutions tailored to your business needs.
Expert design, optimization, and performance tuning for enterprise-scale knowledge graph databases.
Advanced retrieval-augmented generation with knowledge graphs for enhanced AI accuracy and context.
Strategic consulting to align AI initiatives with business objectives and technical infrastructure.
Engagement Snapshot
Proven delivery playbooks and domain experts compress discovery, build, and rollout timelines without sacrificing governance.
Typical timeline
4–8 weeks
From discovery to production launch leveraging pre-built pipelines.
Industries we serve
Finance · Healthcare · Consumer Goods · Government
Domain-specific ontologies and compliance patterns baked in.
Engagement models
Projects · Embedded Pods · Retainers
Select the collaboration rhythm that matches your roadmap.
See how we've helped organizations across industries achieve measurable results with AI and knowledge graph solutions.
And many more enterprise-grade technologies tailored to your specific needs
Four key advantages that make our AI and knowledge graph consulting uniquely effective
Deep experience across manufacturing, government, procurement, and consumer goods with proven methodologies that deliver results from day one.
From strategy to implementation, we provide complete solutions that integrate seamlessly with your existing infrastructure and workflows.
Our solutions are designed and tested at enterprise scale, handling millions of documents and complex business relationships with confidence.
Our proven methodologies deliver measurable results within weeks, not months, allowing your team to realize ROI quickly and efficiently.
