Builds a dataset for the optimal prediction system through labeling and learning test processes that necessary for constructing AI modeling on data refined from raw data.
Services
Based on technology, we aim for a "solution service" that can continuously create customer’s own value.
AI Processing
It provides data designing, labeling, tagging and dataset construction which are necessary for AI learning of structured/unstructured data (text, image, video) and all the processing services necessary for performance analysis process by deriving modeling.
Purpose of instruction
1. Build refined, valid, high-quality data
2. Data processing for optimized AI learning
3. Use as source data that can be used in conjunction with the system
AI construction cases
AI Processing construction
Expected effects
Build high-quality datasets
Extract meaningful data
Increase the reliability of data and extract meaningful data by building methods necessary for data collection and processing (crawling, validation, labeling tools, etc.) into a system.