- Governments and anybody who works with multiple large databases or documents populated over substantial time face a common problem of matching entities and finding multi-level relationships across these databases and documents.
- Smart has innovatively combined the power of text mining, search engine, network graphs and ML to solve these problems for variety of use-cases like
- Matching entities in MCA, GST, judiciary and other databases.
- Helping a financial controller search through volumes of contract documents and compliance reports.
- Help credit bureaus in the developing world where matching data from contributing financial institutions is hard because standardized identification documents etc are not yet prevalant.
- Detecting fraud in chains of related-party transactions.
