Anzyz’ powerful Text-Analytics complements Generative AI
Generative AI has grabbed a lot of attention for being good at understanding and creating text. But, just like with any tech, it’s important to
CCL™ -Self learning AI
Tsetlin automation
CCL™+Tsetlin= Edge computing
Sunstainable AI
CCL™ 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.
The Tsetlin automation
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.
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
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 Bryne
Senior Cloud Solution Architect, Microsoft
Blog and News
Lawyers hunting for the needle in the haystack with Norwegian AI.
“After the attention surrounding OpenAI and Chat-GPT, 2023 has truly marked the year in which artificial intelligence (AI) has made significant advances. This applies to
“It is really now we feel that we have started our commercial journey”
Says Anzyz’ CEO Kristian Hernes in the recent article made by AdvokatWatch Norge : https://lnkd.in/d77aHmJq Anzyz Technologies, has released the second greatly improved version of AnzyzLegal, an AI solution designed
Artificial Intelligence has the potential to revitalize archived patients’ journals by providing valuable insights and creating new meaning from existing data.
This is a summary of the original arcticle published in Norwegian in Dagens Medisin -> https://lnkd.in/dpcVNyHj The article discusses the significance of Artificial Intelligence in healthcare, particularly