Key Challenges
An influential Chinese think tank has spent 5 years building the most comprehensive database tracking the development of China’s AI industry. The client has been heavily relying on manual desk research to identify relationship data between companies
We developed an end-to-end solution that overcomes the two long-time barriers of scaling the database:
- using network intelligence to automatically identify business relationships;
- using exhaustive search to expand data coverage from global sources
Our custom developed algorithmic process resulted in 10x increase of data source converge, and 90% decrease of relationship building time
Target Data Collection
Exhaustively search data from global sources and expand data coverage over 10 times
Relationship Extraction
Automatically identify entity relationships with 86% accuracy and 90% increase of efficiency
Database Redesign
Restructure the database to enable easy BI and ensure consistent quality over future updates
Our highly automated process relying on complex OSINT and NLP algorithms scanned over 1,200 media sources in 5 languages
The proprietary NLP algorithm identified 4,000+ direct and indirect relationship in 5 different types (technical, business, legal, HR and educational) and in over 20 categories
The technology allowed us to reveal hidden insights of the target industry straightforwardly, and it is ready for a broader range of applications including industry knowledge mapping, comprehensive competitive analysis and industry trend analysis
