Artiwise is an Natural Language Processing and Machine Learning backed cloud-based data analytics platform. By using Artiwise, you can analyze whole textual data like customer comments, news, speech, blogs, social media, emails without knowledge of specialties by a short amount of time.
Make a Difference in the Customer Experience
Companies analyzing customer experiences from different channels; they can make a big difference by shaping company strategies in this direction. Artiwise Analytics enables companies to understand their Voice of Customers and take the necessary actions. Artiwise Text analytics technology helps companies understand customer preferences, needs and approaches.
Artiwise Analytics is a cloud based text analytics platform that works with artificial intelligence, machine learning and natural language processing techniques. With its handy interfaces, it converts all your non-structural data such as written text content or customer's voice into a structured data that you can report and take action in a short time.
Artificial Intelligence and Natural Language Processing
Artiwise Analytics allows you to use Natural Language Processing techniques, such as root cause analysis, morphological analysis, English character correction, named entity detection, without the need to write code or technical development. Artiwise Analytics offers up to 70% efficiency in your operations management by combining machine learning and natural language processing power.
Artiwise currently supports English, Turkish, Arabic, German, French, and Spanish at linguistics level and has a plan to extend its capability with most known and spoken other languages.
Total number of text instance analyzed by Artiwise in the last 3 months
Take Action with Pay as You Go Model
Artiwise serves as a pay-per-use model over the cloud. In this way, companies can easily see the return on investment (ROI) without the need for additional investment for their projects. On Prem installation is performed for companies with regulatory constraints and who do not wish to keep their data in the cloud.