A hybrid model combining AI technology and human intelligence
M-Brain’s intelligence expertise combines proprietary AI technology with human relevance screening and analysis. Our in-house crawling technology and global source database are continuously developed according to real-time user statistics as well as M-Brain’s coverage strategy. The content refinement process is built on machine-based learning, whereby usage metrics from our global customer base validate the relevance of our source portfolio.
Our machine learning engine makes approximately 25 billion automated relevance classification judgements every day, distilling its findings to approximately 200,000 relevant customer-specific events. Content relevance is further ensured by M-Brain’s Source Analysis Team who support the automated refinement process on the source coverage side, maintaining our source database, adding customer-specific sources by request and conducting research into new sources. Furthermore, M-Brain’s analysts worldwide deliver added value by providing insight-based information from over 100 languages and primary research.
This hybrid model guarantees that M-Brain’s customers benefit from our intelligent content relevance processes and have the power to directly influence the sources that we cover.