Ontotext
Computer Software, 116 W 23rd St, Sofia, New York, 10011, United States, 51-200 Employees
Phone Number: +19*********
Who is ONTOTEXT
Connect the dots of your data! Ontotext helps enterprises to lower data management costs by up to 30%, enable data fabric architectures, create digital twins, and take information deliver...
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Headquarters: 116 W 23rd St, Sofia, New York, 10011, United States
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Date Founded: 2000
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Employees: 51-200
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Revenue: $25 Million to $50 Million
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Active Tech Stack: See technologies
Industry: Computer Software
SIC Code: 7372
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NAICS Code: 541380 |
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Frequently Asked Questions Regarding Ontotext
Answer: Ontotext's headquarters are located at 116 W 23rd St, Sofia, New York, 10011, United States
Answer: Ontotext's phone number is +19*********
Answer: Ontotext's official website is https://ontotext.com
Answer: Ontotext's revenue is $25 Million to $50 Million
Answer: Ontotext's SIC: 7372
Answer: Ontotext's NAICS: 541380
Answer: Ontotext has 51-200 employees
Answer: Ontotext is in Computer Software
Answer: Ontotext contact info: Phone number: +19********* Website: https://ontotext.com
Answer: Connect the dots of your data! Ontotext helps enterprises to lower data management costs by up to 30%, enable data fabric architectures, create digital twins, and take information delivery from days to minutes! We do this by identifying meaning and connections across diverse datasets and integrating massive amounts of structured and unstructured data. Our clients gain value through GraphDB with semantic knowledge graphs, enabling more powerful and cost effective text analysis, knowledge management, fraud detection, recommendation engines, ecommerce search and much more. "GraphDB is the best RDF graph database service available, and I've seen others." (Data architect, IT Services) Ontotext delivers products and content analytics solutions to enterprises including 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.
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