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GenAI Powered Model Validation Platform for Financial Institutions

Bridging the gap between Data Science and Compliance teams, Proov.ai streamlines and enhances the validation process, ensuring regulatory compliance and unlocking the full potential of AI in banking.

Traditional model validation processes are simply not sustainable

The number and complexity of models in the FinTech industry is ever growing. Manual validation is time-consuming , resource-intensive, and unable to keep pace with the rapid innovation in technology.

Proov.ai's automated platform streamlines MRM, empowering banks to fully leverage the power of AI without sacrificing accuracy or efficiency.

Model Validation - Reimagined

Designed for fintech leaders, Proov.ai empowers financial organizations to seamlessly navigate the intersection of innovation and compliance.

Effortless compliance

Meet regulatory requirements without compromising model accuracy.

Streamlined collaboration

Foster real-time collaboration among data scientists, validators, and auditors, expediting the validation process.

Automated Documentation

Eliminate manual record-keeping tasks and ensure comprehensive documentation aligned with regulatory standards.

Fairness evaluation

Bias detection, Disparate impact analysis, ensuring fair lending practices.
Check out our validation solutions
Discover how our cutting-edge technology is reshaping the landscape of model validation, ensuring compliance, and fostering financial excellence.
Fairness Evaluation
Assess model for disparate impact and biases to ensure fair lending practices
Proprietary Data
Proprietary GAN-generated synthetic data is leveraged to optimize models for accuracy, efficiency and compliance.
Vulnerability and Bias Identification
Advanced techniques used to detect vulnerabilities and biases in models, ensuring their integrity and fairness in decision-making processes.
Data Quality Assessment
Rigorous data quality assessment ensures that the data is representative, clean, and free from extremes, maintaining the integrity of our models and the accuracy of their outcomes.

Revolutionize model validation
process

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