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WHAT WE DO

We deliver next generation text analysis, powered by unique artificial intelligence. Anzyz’ price winning algorithm – Corpus Cube Linguistics – provides superhuman performance in any domain, including security, health, and customer management. Understanding the past, knowing the present and predicting the future. This is world leading artificial intelligence at your fingertips.

We want to find answers before people know what to ask – answers hidden in hundred thousands of unstructured documents, such as customer feedback, social media, chat, health records, etc. The answers you are looking for are presented in a simple dashboard where you can easily visualize findings, track key performance indicators, and dive into rich source documents.

HOW IT WORKS

Anzyz Corpus Cube Linguistics (CCL™) turns your unstructured data into knowledge in seconds. This is possible due to our unique self-learning artificial intelligence. Anzyz CCL™ understands any language, terminology or slang. By analyzing huge amounts of data, Anzyz CCL™ delivers actionable insights from small and big data. Realize the value of your information assets throughout your organization. Anzyz CCL™ empowers a wide range of occupations with superior situation awareness. Our customers include business analysts, customer service staff, intelligence officers, and medical personnel.

HUMAN COMPUTER INTERACTION – HCI

When professor Ole-Christoffer Granmo developed CCL™ he was convinced that the system should be based on interaction between the human mind and computer intelligence.

CCL™ – Corpus Cube Linguistics – is the next generation text mining tool for big data. By simple interaction between the human and the computer you automatically derive valuable insights from unstructured big data, such as documents, emails, social media, chat and more. Anzyz CCL™ analyses data from multiple sources in any language. The human mind together with computer intelligence (CCL™) creates a new world of knowledge.

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WHERE TO REACH US

You can reach us at the following address:
Kristiansand: startup:huset, Gimlemoen 13, 4630 Kristiansand

Oslo: Tjuvholmen Alle 19, 0252 Oslo

Grimstad: Campus Grimstad, Jon Lilletunsvei 9, 4879 Grimstad

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