Zum Seiteninhalt
Go to search page

Your benefits

Image

<2 yr

Break-even on knowledge graph investment
BKW Energie

1500 hrs

Manual processing saved in year one
Siemens Energy

10+

Years of enterprise knowledge graph deployments

AI doesn’t fail because you lack data.
It fails because your data has no shared meaning.

Enterprises are overwhelmed by data - fragmented, inconsistently defined, disconnected from business context. AI systems infer meaning from schemas and prompts, producing answers that are plausible but incorrect.

Data overwhelm
Fragmented, inconsistent, disconnected from context

Inconsistent meaning
Different teams, different definitions

AI that guesses
Plausible but factually incorrect answers

Governance gap
Catalogs show where data lives — not what it means

Pilot purgatory
95%* of GenAI pilots: no measurable P&L impact

One platform. Four integrated capabilities.

Each component shares a single semantic layer - so nothing gets rebuilt, translated, or repeated as you move from modelling to AI to governance.

" media="(min-width: 992px)"> " media="(min-width: 768px) and (max-width: 991px)"> " media="(min-width: 521px) and (max-width: 767px)"> " media="(max-width: 520px)"> Image" alt="" width="768" height="768" >

Semantic modelling & governance

Define what your data means. Build ontologies, vocabularies, and business objects — with editorial workflows, versioning, and term-level provenance. Business experts are active contributors, not just consumers.

Learn more

Virtual knowledge graph

Connect to Snowflake, Databricks, BigQuery, and Redshift via live JDBC — without moving a byte. No ETL. No duplication. Your infrastructure and governance stay exactly as they are — the semantic layer simply adds meaning on top.

Learn more

AI-native capabilities (metis)

Ask questions in natural language. Get answers grounded in your governed semantic model - not in what an LLM guessed from your schema. AI also helps build and refine the model itself, not just quer it.

Learn more

Enterprise Information Architecture

Model the enterprise itself — not just its data. Business objects, processes, roles, and policies give AI the context it needs to operate meaningfully, not just technically correctly.

Learn more

Why enterprises choose metaphactory

01

Accelerate AI from pilot to production

Governed business context removes the bottleneck. AI has what it needs — not brittle prompts.

02

AI answers you can trust and explain

Outputs grounded in defined concepts, governed relationships, and traceable data sources.

03

Cut repeated integration work

Build meaning once. Reuse across AI, analytics, applications, and governance workflows.

04

One shared language across the enterprise

Business, IT and AI teams aligned — with domain experts as active contributors, not just consumers.

05

Governance embedded in how work gets done

Policies, ownership, lineage, and provenance built into the knowledge model.

06

Build trust in enterprise AI

Users understand where answers come from — critical for regulated industries.

Image

Built for the questions other platforms can't answer.

Most platforms connect data or catalog it. metaphactory defines what it means — and builds that meaning into a governed layer your entire enterprise can rely on.

Your data stays where it is.

VIRTUAL ACCESS. NO PIPELINES. NO DUPLICATION.

JDBC to Snowflake, Databricks, BigQuery, Redshift — live, without moving a byte. Governance policies intact. Semantic layer sits on top.

Business experts build the model too.

NOT JUST ENGINEERS. EVERYONE WHO KNOWS THE BUSINESS.

Domain experts contribute via natural language, Excel import, and realtime collaborative editing — no engineering bottleneck.

AI helps you build meaning, not just query it.

CO-AUTHOR, NOT JUST ASSISTANT.

The Semantic Modelling Assistant builds and refines ontologies alongside your team. AI participates in creating the knowledge model.

The enterprise itself — not just its data.

PROCESSES. ROLES. POLICIES. SYSTEMS.

Most platforms model data structures. metaphactory models the enterprise — the contextual foundation AI needs.

Built on open W3C standards - portable, interoperable, never locked in: RDF • OWL • SHACL • SPARQL • W3C

Real outcomes from our customers

Image
Case Study

Bridging the past and present: Unifying the Sloane Collection with knowledge graphs

How the Sloane Lab, a collaboration between major universities and museums, unified its massive historical and archival collection using knowledge graphs with metaphactory

Continue reading

Image
Case Study / Pharma & Life Sciences

Knowledge Democratization with an Enterprise Knowledge Graph at Boehringer Ingelheim

Boehringer Ingelheim uses metaphactory to empower domain experts and deliver a seamless experience over interconnected, use case specific and use case agnostic knowledge graph applications.

Continue reading

Image
Blog Post

Building explainable and trustworthy recommendation systems: What we learned from IKEA at KGC 2023

In this blog post, we dive into how knowledge graphs play an important role in IKEA's recommendation systems, based on our experience attending two presentations by IKEA at the 2023 Knowledge Graph …

Continue reading

Also trusted by:

Global technology and
management consultancy
Image
Image
Multinational professional
services company
metaphacts
Resource Hub
German commercial
vehicle manufacturer
American multinational
pharmaceutical corporation
Image
IT services and consulting
company
Technology consultancy
Image
Global provider
of insurance products
Image
Global management
consulting firm
Large Swedish media
company
German home improvement
company
Image
European pharmaceutical
& biotech company
American multinational
pharmaceutical company
German pharmaceutical
company
Global property & casualty
insurance company
International financial
services provider
German multinational
science and technology
company
Image
German manufacturer of
premium vehicles
Swiss multinational
healthcare company
Image
Leading provider
of transport solutions
Image
Leading US
investment bank
Image
Image
Swiss private insurance
company
Image
American aerospace
company
Swedish
furniture retailer
Government healthcare
agency
Image
American multinational
biopharmaceutical company
Global manufacturer
of sensors and sensor solutions
for industrial applications
German industrial
manufacturer
Global technology and
management consultancy
Image
Image
Multinational professional
services company
metaphacts
Resource Hub
German commercial
vehicle manufacturer
American multinational
pharmaceutical corporation
Image
IT services and consulting
company
Technology consultancy
Image
Global provider
of insurance products
Image
Global management
consulting firm
Large Swedish media
company
German home improvement
company
Image
European pharmaceutical
& biotech company
American multinational
pharmaceutical company
German pharmaceutical
company
Global property & casualty
insurance company
International financial
services provider
German multinational
science and technology
company
Image
German manufacturer of
premium vehicles
Swiss multinational
healthcare company
Image
Leading provider
of transport solutions
Image
Leading US
investment bank
Image
Image
Swiss private insurance
company
Image
American aerospace
company
Swedish
furniture retailer
Government healthcare
agency
Image
American multinational
biopharmaceutical company
Global manufacturer
of sensors and sensor solutions
for industrial applications
German industrial
manufacturer
Image

Ready to make your enterprise AI trustworthy?

metaphactory gives your organisation the governed semantic foundation to move confidently from AI experimentation to production. Trusted by Boehringer Ingelheim, Bosch, Siemens, IKEA, and Schaeffler - built on open W3C standards so your investment is never locked in.

See in action Start a free trial
Zum Seitenanfang