Model Monitoring
for Finance

Protect your AI investments. Prevent model decay. Ensure regulatory compliance.

NannyML is trusted by industry experts at
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91% of AI models deteriorate overtime[1]

The model decay crisis can affect even models that initially demonstrate high accuracy and performance. 91% of ML models experience gradual degradation. If left undetected, this decline leads to critical failures, such as mispriced loans and missed fraud detection, ultimately resulting in financial losses that can reach tens of millions for institutions.

This problem can't be solved with traditional monitoring. Basic drift detection methods aren't enough to catch all potential issues.[2] On top of that traditional monitoring technology is resource intensive, financial institutions need robust and trustworthy ML monitoring to stay complaint against evolving AI regulations.[3]

The NannyML Advantage

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Early Warning

Detect model degradation before it impacts your business.

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Metric Estimation

Gain insights months in advance without ground truth data.

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Workload Reduction

Reduce AI team workload by up to 80%.

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Compliance Assurance

Stay ahead of emerging AI regulations.

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Key Use-Cases in Finance

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Credit Scoring

Improve accuracy in loan underwriting and risk assessment.

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Fraud Detection

Enhance anti-money laundering and transaction monitoring systems.

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Payment Prediction

Optimize cash flow with precise late payment forecasting.

Why Choose NannyML Now?

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Mature Technology

Proven track record with Fortune 500 financial institutions.

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Competitive Advantage

Early adoption gives you an edge in AI-driven finance.

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Regulatory Readiness

Stay ahead of increasing AI governance requirements.

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Immediate ROI

Realize benefits quickly with our streamlined implementation.

Ready to trust your models again?

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The Open Source library for post deployment data science