Ontotext

New York, New York, USA
88 Total Employees
Year Founded: 2000

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We power effective decision making, knowledge growth and acquisition, insights discovery, ensure your AI is properly educated - and much more! Knowledge graph technology helps you to connect data and define relationships to get the most of your business critical data.

Ontotext helps enterprises to identify meaning and connections across diverse datasets and massive amounts of unstructured information. Our technology and services deliver value in the development of knowledge graphs, interlinking multiple structured datasets. Graph analysis provides semantic entity profiles, enabling more accurate text analysis, powering knowledge management, fraud detection, recommendation engines, supporting ecommerce and much more.

GraphDB(TM) is our most well known product, and is a semantic graph database engine. The Ontotext Platform extends it with text analysis, semantic tagging, search, classification and discovery capabilities.

Ontotext delivers products and content analytics solutions to enterprises like S&P, BBC, Financial Times, Elsevier, Wiley, UK Parliament, Kadastr.NL and Fujitsu.

Digital Asset Management, Drug Discovery, Data Compliance, Fraud Detection, Big Data Management, Data Fabric support, Semantic Search, Product Information Management and many other business critical applications gain value from Knowledge Graphs - talk with us to learn more.

Ontotext Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
New York, New York, USA