We make State-of-the-Art Text Analytics
Anzyz Technologies is an Artificial Intelligence company based in Grimstad, Norway. Our AI driven Text Analytics enables organizations, cross-industry, to rapidly gain valuable insight from their unstructured text. Our solution is 100% self-learning, with no manual tagging of data involved, and provides for a best-in-class understanding of the contextual meaning in Big Data. The technology stems from innovations led by Anzyz' Co-Founder and Director of the Centre for Artificial Intelligence Research (CAIR) at the University of Agder, Professor Ole-Christoffer Granmo.
Our AI thrives on unstructured raw data
Our solution makes unstructured data searchable and classified. By leveraging our self-learning AI technology organizations can quickly generate new insights, create value and ultimately make way for smarter and better decisions.
Extract insights in any written language
Anzyz’ solution has a unique ability to interpret and understand the contextual meaning in any written natural language without the need to train on large tagged text collections. The result is superior speed and precision, applicable in a broad range of use cases.
Visualize your insights in fast and clean-cut applications
Our intuitive and easy-to-use products drastically simplify the process of analyzing data. Automate workflows, analyze data and extract key information with our off-the-shelf applications, or talk to us about your custom project. Get in touch!
Spend less time searching for data data data data
Access and analyze all relevant data in one AI base
Use Cases
Medical coding automation by using cutting-edge AI techniques
For a major European healthcare provider, Anzyz participated in a proof-of-value to automate medical code assignment for reimbursement purposes.
AI in law: Business email correspondence review
In an international corruption case, a major law firm had to review 17,000+ emails, including attachments, to single out important correspondence between key stakeholders.
Applying AI to support statistical research of digitized Patient Health Records
Norwegian Health Archives Registry (NHAR) needed a tool to support statistical research of patient records, including both structured and unstructured textual data.
"Anzyz’ solution allows domain experts to build NLP
models themselves. This opens up more relevant
and accurate models for production, at a lower cost
and in less time than would otherwise be possible."
Christian BryneSenior Cloud Solution Architect, Microsoft