use case
Credit Risk
Graphyte enables continuous monitoring of real-time data that provides early, predictive warnings of financial stress and crime.
Pushed alerts of potential risk
Comprehensive open source data access
Dynamic, granular risk typologies
CHALLENGE
Periodic credit checks relying on financial data are usually too late.
Credit risk assessments often rely on financial information, but these reports tend to be slow to respond to negative events, particularly for small businesses, where reporting is often delayed, based on outdated information, and not forward-looking. Customer sentiment data tends to be a poor indicator of default risk.
Receive instant notifications of new adverse media on a client
Real time monitoring of adverse media provides a more complete and timely picture of an account showing signs of trouble and can better anticipate default and bankruptcy.
AI-powered accuracy drives efficiency and scalability
Comprehensive and continuous monitoring of adverse media
Push notifications sent immediately upon discovery of new risk signals
Dynamic risk ratings helps you focus on the riskiest customers
Quantifind’s unique technology and architecture enable dynamic, granular risk typologies that can be used to target specific concerns and emerging threats that get missed with manually created, narrowly-defined, static risk definitions.
Precise tuning of adverse media categories and criminal status
Granular risk typologies such as Extortion, Child Exploitation, and Elder Abuse
meet graphyte
Graphyte is a pure-SaaS solution that uses a unique combination of external data sources, predictive risk typology models, and patented data management technologies to inform risk profiling and segmentation. The speed and accuracy achieved enable automation of ongoing continuous monitoring at scale. Results are summarized via Graphyte APIs and through the web-based GraphyteSearch investigation application.
AI-driven curation of a massive array of public data sources
Integrated programmatic search, performed anonymously
Extraction of only the most accurate and relevant information
Integration with leading CDD case management systems
Superior data science yields 10-100X fewer false positives
Name science helps achieve 90% entity resolution accuracy by quantifying expected name variants and name frequency within a specific country.
Best-in-class accuracy enables massive scalability
Limitless risk assessments can be generated through real-time search of live data, with full-text search against tens of millions of news articles.
No sharing of sensitive customer data beyond governance jurisdiction
Other solutions compensate for low accuracy with offshore investigations teams that require private customer information to be broadly shared.
Search using non-Roman characters in native foreign-language sources
Avoiding use of machine-translated content gives further boosts to accuracy and significantly increases the quantity of available data.
Expand the scope of applicant reviews
identify more risks earlier and save compliance costs downstream.