About us

Why we exist

Our mission

To deliver the most comprehensive and trusted industry solution in knowledge graphs and semantic AI, so organizations can unlock the full potential and ROI of their enterprise AI investments.

Our vision

A future where every enterprise can rely on trusted, scalable AI powered by essential knowledge graph infrastructure — transforming how businesses operate and innovate.

Our story

20 years of making enterprise knowledge usable.

More than 20 years ago, Semantic Web Company and Ontotext were founded to help enterprises make sense of unstructured and siloed data. They built PoolParty and GraphDB, bringing semantic technologies and knowledge graphs into real-world enterprise use.
In 2024, the two companies joined forces as Graphwise. As AI created new demands for connected and trusted data, the merger brought together their complementary technology and expertise to give enterprises a more complete path from fragmented information to reliable AI.

Proof that goes beyond headcount.

20+

Years
of semantic technology and knowledge graph heritage

200+

Customers
across knowledge-intensive industries

200+

Employees
spread across several locations worldwide

Trust

Enterprise AI needs enterprise-grade governance.

Graphwise backs its AI and data infrastructure with independently auditable standards for information security, privacy and AI management. See our trust center for more information

GDPR

ISO/IEC 27001:2022

ISO/IEC 27701:2019

ISO/IEC 42001:2023

Microsoft SSPA

NIS2

SOC 2  Type 2

SOC 3

Testimonials

What our customers say

See how Graphwise customers are building more reliable enterprise AI

“Initially, it took the engineering team up to two weeks to edit basic terms or single tags. Because of Graphwise, however, this time window has shrunk to less than 24 hours!”

Dana Bublitz

Senior Information Architect , Microsoft Docs

“In our organization and with our resourcing, we can’t expect to have someone with IT capabilities or a developer skill set to set up a pipeline every time, so we are happy to have simple mapping for our pipelines so that anyone can do the task.”

Les Kneebone

Information Architect / Digital Librarian, CEBRA

“I wanted a tool that would help me model my domain in a pragmatic, recognizable, and translatable thesaurus…[and with Graphwise] I could use it from the very start, almost without any help.”

Jan Kees Schakel

Founder, Sensing Clues