DefaultDoc is a data science-based service for default risk assessment and monitoring.
Inspired in part by epidemiological studies and disease prediction, DefaultDoc uses similar methods to assess Subcontractor business health and monitor your portfolio's default risk.
Solutions for the Risk Conscious
Initial Risk Assessment
Assess Subcontractor risk to estimate default-related losses and reduce underwriting risk
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Test each Subcontract for 196 leading indicators of default, using historical data to fine-tune the prediction
Ongoing Risk Assessment
Actively monitor Subcontractor progress and continually recalculate estimated default losses on your projects
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Leverage all collected data to continually recalibrate the predictive model
Expert Due Diligence
Actively monitor Subcontract risk; provide expert due diligence and loss estimation
Monitor estimated losses to help keep exposure below loss ratio targets or risk tolerance
A different approach.
1 Verified Data
Every model input is tested and manually verified for accuracy, plausibility, and reasonableness. Poor quality data is omitted.
2 Scientific Methods
DefaultDoc adheres to strictly prescribed procedures for data collection and analysis to ensure consistency in results.
3 Quantified Risk
Risk and estimated loss is represented in dollars, instead of scores or modality statements.
4 Identifiable Risk
We alert you when risks cannot be properly assessed so that you may make informed decisions about your risk portfolion.