MATS - Mycelebs AI
Accelerate your business value with our solution
Transform your business with MATS
MATS(Mycelebs AI Transformation Suite) is an integrated solution platform that delivers seamless AI transformation to client companies through automatic data management, model implementation, visualization, and real-time updates.
Existing AI industries with dispersed key functions
MATS for integrating
MATS collects and indexes any machine data in real-time, allowing you to search, explore, analyze, and visualize your data all in one place.
Easy to Deploy and Use
Applicable to Various Industries
Reduce Operating Costs
Mycelebs builds semantic data which is most highly valued in the AI era. By extracting user context or taste through our AI engine, we have constructed a data aggregator model that adds more value than simple data sales.
Semantic Data Aggregator
- Who are the consumers?
- It is limited to grasp the actual needs of consumers.
- What do consumers prefer?
- It is difficult to grasp the gap between consumer attitude and actual behavior.
- How and what do consumers buy?
- It is possible to induce consumer behavior in a specific direction by identifying consumer behavior patterns.
- What is the consumer's taste?
- From analyzing user context reflecting time, place, and occasion, it is possible to derive insights based on the actual taste of the consumers.
Implementation of AI Intelligence
Mycelebs’ AI Semantic Search Engine is a system running a variety of data generated by the masses for the purpose of building on a variety of tastes. Additionally, a context-based data classification system for each service group is applied to recommend results that are suitable for the user’s situation
Semantic search and AI recommendation engine powered by Myceleb
Our system effectively delivers information about popular items from various industries, such as movies, fashion, and publishing to users through various data visualization techniques.
AI machine learning automatically updates the public’s tastes and trends using big data.