

High level numbers
-90%
False Alerts vs. legacy systems
Our proprietary approach reduces noise and improves signal quality
-60%
Time spent on manual workflows
Automating credit surveillance frees analysts for higher-value work
6-12
Month Lead Time
Early detection provides ample time for portfolio adjustments

Value proposition and problem statement
Smarter Fixed Income Investing
AVED transforms how financial institutions navigate fixed income markets with predictive analytics and AI-driven insights.
Specialized Risk Expertise
Struggle with limited in-house expertise? Outsource your risk assessment and monitoring to quantitative experts.
Operational efficiency
Reduce manual repetitive quantitative task and automate your processes. Free-up your resources for strategic investment tasks.
Risk mitigation
Reduce exposure to deteriorating credits and enhance portfolio resilience with our dynamic monitoring framework.
True Signals
Bypass market noise and false alerts with our proprietary models and focus on true credit deterioration signals.
Cloud-based, AI-ready
Leave outdated and slow systems behind, and benefit from fast, on-cloud, AI-powered futureproof system.
Early Warning System
Detect subtle signals of potential credit events before they become market consensus, giving you a critical edge in decision-making.
Opportunity Discovery
Uncover mispriced bonds and hidden value in fixed income markets through our proprietary analytics and screening tools.
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Approach/methodology





EWS Section
Early Warning System
Relying on Criat’s PD 2.0 model, AVED’s EWS considers bond, equity, financial and macroeconomic signals to provide actionable and interpretable investment risk insights. Supplemented with expert-led qualitative adjustments the signals are tailored to capture true and specific credit events ahead of traditional rating agencies and market movements.
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Detects signals 6-12 months before rating agencies act
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True signals considerably reduces false alerts
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Customizable alert thresholds based on your risk tolerance
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Integrates with your existing workflow and systems
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AI-powered risk factor analysis
Bond Selection section
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Case study
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