What Enterprise Knowledge Graph Foundation does

The Enterprise Knowledge Graph Foundation (EKGF) is a nonprofit Managed Community under the Object Management Group (OMG), founded in 2019 and based in Chicago. It publishes open principles, methods, and reference work products for building Enterprise Knowledge Graphs (EKGs)—semantic layers that define context, govern access to trusted data products, and keep generative AI grounded in enterprise meaning. Its portfolio includes the EKG Principles (a set of 10 foundational standards such as Identity, Meaning, Distributed, Self-describing, and Standards), the EKG Maturity Model (a 4-pillar, 5-level assessment framework with v1.0 released 21 November 2021), the EKG Catalog of use cases and ontologies, the Use Case Tree Method, the DPROD Data Product Ontology (an OMG standard using W3C technologies), and an Outcome Framework. EKGF does not sell software; it operates a community-driven go-to-market through open documentation at ekgf.org, public GitHub repositories, and OMG membership, with documented use cases spanning financial services (Client 360, KYC, AML, GDPR), enterprise data management, cybersecurity governance, and supply chain management. The foundation is governed under EDMCouncil Inc. (d/b/a Enterprise Data Management Association) and co-chaired by Jacobus Geluk, Pete Rivett, and Marcel Fröhlich, with co-founders Dennis E. Wisnosky (former CTO, U.S. Department of Defense) and Michael Atkin (former CEO of EDM Council). Revenue mechanics are not publicly disclosed; the organization runs on a 1–10 employee base with no external venture funding.

Name

Enterprise Knowledge Graph Foundation

Legal name

EDMCouncil Inc., d/b/a Enterprise Data Management Association (EDMA)

Website

https://ekgf.org

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

1–10 employees

Short description

The Enterprise Knowledge Graph Foundation (EKGF) is a nonprofit OMG-managed community that publishes open standards, maturity models, and methods for building Enterprise Knowledge Graphs to ground GenAI in enterprise context, serving data and AI governance teams globally.

Ownership category

akta.pro rank

Product category

Knowledge Graph Standards

NAICS

Computer Systems Design and Related Services (54151), Computer Systems Design Services (541512), Professional, Scientific, and Technical Services (541), Other Scientific and Technical Consulting Services (54169)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Engineering, Accounting, Research, Management (8700)

akta.pro primary industry

Semantic Layer, Metrics Store & Headless BI (HDAEAMAE)

akta.pro secondary industry

Data Quality, Profiling & Validation (within Integration) (HDAEACAI)

Keywords

• Knowledge graph standards
• Enterprise data governance
• Semantic interoperability
• Data product ontology
• Enterprise data management

Headquarters

HQ city

Chicago

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Technology or R&D, Marketing or Sales, Others

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

Core offering

EKGF is a standards organization that publishes open principles, methods, and work products for building, governing, and assessing Enterprise Knowledge Graphs (EKGs). It operates as a Managed Community under the Object Management Group (OMG) and offers a portfolio of reusable frameworks and ontologies — including EKG Principles, the EKG Maturity Model, the EKG Catalog, the Use Case Tree Method, the DPROD Data Product Ontology, and an Outcome Framework — that together define a governed semantic layer for enterprise data and a standardized approach to grounding GenAI in context.

Product overview

The Enterprise Knowledge Graph Foundation (EKGF) is a standards organization under the Object Management Group (OMG) that publishes principles, methods, and work products for building trustworthy Enterprise Knowledge Graphs (EKGs). Rather than a commercial software product, EKGF offers a portfolio of frameworks, methodologies, and reference materials: the EKG Principles (10 foundational standards), the EKG Maturity Model (4-pillar, 5-level assessment framework), the EKG Catalog (use cases and ontologies), the Use Case Tree Method (structured implementation methodology), DPROD (Data Product Ontology standard), and the Outcome Framework (business value definition). These work products collectively enable organizations to implement semantic, governed knowledge graphs and keep GenAI grounded in context.

Differentiator

Problem solved

Functional benefit

Brands

• EKG Method: A comprehensive method to develop an Enterprise Knowledge Graph through use case trees and structured implementation
• EKG Catalog
• EKG Maturity
• DPROD

Products and services

• EKG Principles A set of 10 foundational principles (Identity, Meaning, Distributed, Open World, Self-describing, Measurement, Business Orientation, Control, Ecosystem, Standards) that guide the development and deployment of Enterprise Knowledge Graphs. Aimed at enterprise architects, data leaders, and standards practitioners building governed semantic layers.
• EKG Maturity Model A comprehensive maturity assessment framework with four capability pillars (Business, Organization, Data, Technology) and five maturity levels for assessing and improving Enterprise Knowledge Graph implementations. Intended for enterprise data and analytics leaders evaluating capability readiness.
• EKG Catalog A catalog of EKG components, patterns, use cases, ontologies, and best practices for building enterprise knowledge graphs, including Client 360, Cybersecurity, Legal Entity Management, and Supply Chain Management use cases. Provides reusable artifacts to accelerate knowledge graph implementation.
• Use Case Tree Method A comprehensive method for developing Enterprise Knowledge Graphs through use case trees, executable models, stories, and structured implementation across Plan, Build, and Run phases. Targets enterprise teams needing a repeatable, business-outcome-driven approach to EKG implementation.
• DPROD (Data Product Ontology) An OMG standard for describing Data Products using W3C technologies, enabling decentralized data architectures and semantic interoperability. Provides an ontology standard for data product producers and consumers across the enterprise.
• Outcome Framework A framework defining business outcomes — the specific results or benefits organizations expect from use cases — providing the business justification for EKG investments. Intended for enterprise stakeholders aligning knowledge graph initiatives to measurable business value.

Quantifiable outcome

• EKG enables federated views reducing data warehouse costs and enabling real-time integration
• +1 more outcomes

Segments3 records

Ideal customer profiles3 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature6 records

Partnerships

Six partnerships are on record, tiered core.

• Object Management Group (OMG)coreStrategic or Co-development PartnerEKGF is an initiative under OMG - a managed community operating within the OMG standards framework. The organization publishes principles, methods, and work products under OMG governance. EKGF co-chairs the standards track within OMG (EKGPTF).
• EDM CouncilcoreStrategic or Co-development PartnerMichael Atkin, Co-founder of EKGF, is also Co-founder and Former CEO of EDM Council. The organizations share expertise in data management standards and frameworks.
• agnos.aicoreStrategic or Co-development PartnerJacobus Geluk, Founder of EKGF and CTO at agnos.ai, co-chairs the EKGF Managed Community and EKGPTF. agnos.ai is a key contributor to EKG standards and maturity model development. The EKG Maturity initiative was started by agnos.ai in March 2019, with IP donated to EKGF in 2020.
• eccencacoreStrategic or Co-development PartnerMarcel Fröhlich from eccenca serves as Co-chair of EKGF Managed Community. eccenca contributes to EKG standards development and community leadership.
• Intuitive.aicoreStrategic or Co-development PartnerPete Rivett from Intuitive.ai serves as Co-chair of EKGF Managed Community. Intuitive.ai contributes to EKG standards and community leadership.
• Enterprise Data Management Association (EDMA)coreOthersEKGF is an initiative of the Enterprise Knowledge Graph Forum, under EDMCouncil Inc. d/b/a Enterprise Data Management Association. Copyright for EKGF materials is held by EDMCouncil Inc.

Scale indicators1 record

Recent moves7 records

Expansion highlights5 records

Broad incumbents

• Databricks: Hyperscaler-style data and AI platform whose Unity Catalog and GenAI features increasingly include semantic and metadata layers; competes for the same enterprise semantic-layer budget as EKGF-aligned stacks but as part of a much broader portfolio.
• Collibra: Data intelligence / data governance platform with semantic-layer and catalog functionality targeting the same regulated enterprise buyers EKGF addresses; an incumbent in adjacent data governance rather than a direct EKG specialist.

Direct peers

• Neo4j: Leading graph database and knowledge-graph platform vendor with mature enterprise tooling for semantic integration and GenAI grounding — directly comparable as a competing ecosystem for EKG implementations.
• Stardog: Enterprise knowledge graph platform vendor offering a semantic-layer / data fabric product; competes in the same enterprise semantic-graph category that EKGF's standards target, with overlapping use cases in financial services, life sciences and government.
• EDM Council: Data management standards body whose DCAM framework is widely adopted in financial services; EKGF is legally housed under EDMCouncil Inc. and shares co-founder Michael Atkin. It is the most direct analogue in mission, governance model and target buyer.
• W3C: International standards consortium whose Semantic Web / RDF / OWL / SKOS specifications underpin EKG's underlying technology stack (e.g., DPROD uses W3C technologies); W3C is the upstream rule-maker whose work EKGF operationalizes for enterprise data.
• Ontotext (Graphwise): Graph database, semantic graph and knowledge-graph platform vendor with a long-standing focus on semantic web standards; offers overlapping capabilities in semantic integration, taxonomies and ontology-driven data products that compete with EKGF-styled architectures.
• TopQuadrant: Semantic graph / ontology platform vendor with enterprise focus on data governance and knowledge graphs; comparable as a commercial implementation path for the kind of semantic-layer architectures EKGF standards prescribe.
• eccenca: Commercial vendor of an Enterprise Knowledge Graph / semantic-layer platform and a core EKGF partner; Co-chair Marcel Fröhlich represents eccenca on the EKGF Managed Community, making it the closest commercial implementation analogue to EKGF's standards.
• agnos.ai: EKG-focused software vendor whose CTO (Jacobus Geluk) founded EKGF and originally launched the EKG Maturity initiative before donating the IP; agnos.ai is the originating contributor to EKGF's maturity-model work.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/EKGF
• LinkedInlinkedin.com/company/ekgf

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Enterprise Knowledge Graph Foundation