Credit Intelligence
Last updated
Last updated
Traditionally, credit ratings are expressed through a letter-based score, derived from analyses conducted by entities like Credit Rating Agencies. However, the methodologies behind these analyses are often not transparent, making them susceptible to manipulation, error and bias.
Synnax introduces a revolutionary approach by utilizing a decentralized consensus model to generate Credit Intelligence. Credit Intelligence is purely data-driven and derived from the collective wisdom of an independent network of machine learning models. This approach promotes transparency and resistance to manipulation and bias.
Credit Intelligence encompasses real-time, predictive financial metrics from each machine learning model, offering a more comprehensive view of a company's financial performance. Credit Intelligence comprises:
Headline Credit Signal (similar to a credit rating)
Current - based on realized data
Forecasted - based on decentralized predictions and updated in real-time
17 Predictive Financial Components & 22 Predictive Financial Ratios
Generated from decentralized predictions
Updated in real-time
Customizable charts for each metric
R-Score (Resiliency Score)
A probability estimate of future debt repayments
Calculated from decentralized predictions
