AI TrustMark

Knowledge graphs companies, products & suppliers

Graph stores and tooling that model entities and relationships as the system of record. Jobs: entity resolution; graph queries over organisational facts; lineage of relationships.

What are Knowledge graphs?

Graph stores and tooling that model entities and relationships as the system of record. Jobs: entity resolution; graph queries over organisational facts; lineage of relationships.

What problems does it solve?

Relational tables cannot express the entity relationships the buyer needs to query.

Typical business use cases

  • Entity resolution
  • Graph queries over organisational facts
  • Lineage of relationships

Important capabilities

  • Graph store
  • Ontology
  • Query layer

What buyers should evaluate

  • Ontology ownership
  • Update cadence
  • Who attests facts

Risks and governance considerations

A graph that looks authoritative but is stale or unverified.

Procurement checklist

  • Fact provenance
  • Access control
  • Export

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • FalkorDB CloudClaimed

    By FalkorDB

    FalkorDB Cloud is the managed graph database service from FalkorDB Inc., optimized for GraphRAG workloads that need accurate, low-hallucination retrieval and fast graph queries.

  • Amazon Neptune

    By Amazon Web Services

    Amazon Neptune is a fully managed AWS graph database service. It supports property graph and RDF models with Gremlin, openCypher and SPARQL queries, and is used for identity graphs

  • ArangoGraph

    By ArangoDB

    The only enterprise AI data platform that cuts complexity, reduces costs, and gets you to production faster. ArangoGraph is ArangoDB's platform, from ArangoDB, Inc. Published at ar

  • Memgraph Cloud

    By Memgraph

    Experience high-performance graph computing with Memgraph — the scalable, in-memory graph database solution compatible with Neo4j. Memgraph Cloud is Memgraph's platform, from Memgr

  • Neo4j Knowledge Graph

    By Neo4j

    Connect data as it's stored with Neo4j. Perform powerful, complex queries at scale and speed with our graph data platform. Neo4j Knowledge Graph is Neo4j's platform, from Neo4

  • GraphDB

    By Ontotext

    GraphDB is Ontotext's platform, from Ontotext USA, Inc. Published at ontotext.com/products/graphdb. Directory filing: Knowledge graphs. Vendor legal name on this product record: On

  • PuppyGraph

    By PuppyGraph

    PuppyGraph is the 1st graph analytic engine that can query existing relational data stores into a unified graph model in <10 mins. No graph databases needed. PuppyGraph is Puppy

  • RelationalAI

    By RelationalAI

    Meet Rel—a decision agent grounded in your semantic model and powered by advanced reasoners. RelationalAI is RelationalAI's platform, from RelationalAI, Inc. Published at relationa

  • TerminusDB

    By TerminusDB

    TerminusDB Ltd. sells a document graph database for knowledge graphs, versioning and collaboration. Public pages describe git-like data, not image generation. TerminusDB is Terminu

  • TigerGraph Savanna

    By TigerGraph

    TigerGraph is the leading graph database for real-time AI and analytics. Detect fraud, resolve entities, and uncover hidden connections at enterprise scale. TigerGraph Savanna is T

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Knowledge graphs?

Graph stores and tooling that model entities and relationships as the system of record. Jobs: entity resolution; graph queries over organisational facts; lineage of relationships.

What should not be listed as Knowledge graphs?

Products whose buyer job is document RAG, semantic search indexes, or BI relationship diagrams. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Knowledge graphs supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What are Knowledge graphs?

Graph stores and tooling that model entities and relationships as the system of record. Jobs: entity resolution; graph queries over organisational facts; lineage of relationships.

What should buyers ask about AI data retention and deletion?

Establish how long prompts, files, traces and embeddings are kept, who can access them, and how deletion is evidenced. Retention in a debug or eval store can outlast the customer contract if it is not in scope.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.