MRM Ecosystem

A Unified Approach to Model Governance, Validation & Monitoring

In today’s complex regulatory and operational landscape, effective Model Risk Management (MRM) is no longer optional—it is essential. Solytics Partners’ MRM Ecosystem is designed to provide financial institutions with a comprehensive, end-to-end solution for managing model lifecycle risks. By integrating governance, validation, and monitoring into a single cohesive framework, our ecosystem ensures compliance, enhances operational efficiency, and drives model performance.

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Why an Ecosystem Approach?

Traditional MRM solutions often operate in silos, leading to inefficiencies, data inconsistencies, and compliance challenges. Our MRM Ecosystem bridges these gaps by creating seamless interoperability between governance, validation, and monitoring processes.

End-to-End Model Execution & Monitoring

Gain complete oversight across your complete model inventory with powerful analytics, seamless governance, and model validation and performance monitoring in a single ecosystem.

Scalability for AI & Traditional Models

Designed for both classical statistical models and new-age AI/GenAI models.

Seamless Integration

Connect governance, validation, and monitoring workflows to eliminate redundancy and enhance efficiency.

Regulatory Alignment

Align with evolving global regulations, including SR 11-7 and the EU AI Act.

Operational Efficiency

Automate key processes to reduce manual intervention and accelerate decision-making.

Scalability & Flexibility

Adapt to evolving model complexities, whether traditional statistical models or AI/ML-based approaches.

Microservices & API-first Approach

Seamless integration with on-prem and cloud environments.

Configurability

Ability to define and automate firm-specific modelling/validation journey generating multi-fold efficiencies

The Three Pillars of the MRM Ecosystem

The MRM Ecosystem consists of three interconnected platforms, each serving a critical function in the model risk lifecycle.

MRM Vault

Governance and Inventory Management

Establish a robust governance framework with centralized model inventory, version control, and audit trails to ensure transparency and compliance.

explore mrm vAULT

NIMBUS Uno

Validation and Monitoring Automation

Enable automated model validation and ongoing monitoring with configurable workflows, microservices, and API-driven execution pipelines.

explore NIMBUS UNO

MoDeVa

MoDeVa

Advanced Model Diagnostics

Leverage cutting-edge analytics for testing, benchmarking, and identifying weaknesses in models, ensuring rigorous risk assessment.

explore MODEVA LIBRARIES
The Power of an Integrated MRM Ecosystem
Our ecosystem is designed to work cohesively, eliminating fragmentation in modelrisk processes. Institutions that adopt an integrated MRM approach benefit from:

Real-Time Insights

Unified dashboards provide a holistic view of governance, validation, and monitoring metrics.

Regulatory Compliance

Built-in controls and automated documentation streamline regulatory reporting and audits.

Efficient Collaboration

Cross-functional teams can collaborate seamlessly, with standardized workflows and role-based access.

Proactive Risk Management

Continuous model monitoring ensures early detection of performance drift and emerging risks.

Future-Proof Your MRM Strategy

The rapid evolution of AI and machine learning models demands a dynamic, scalable approach to Model Risk Management.


The MRM Ecosystem by Solytics Partners empowers financial institutions to confidently manage their models, optimize performance, and maintain compliance in a fast-changing regulatory environment.

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Ready to experience the benefits of an integrated MRM ecosystem?
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Perform execution with unmatched speed, scale, and depth to stay ahead of the curve.
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Experience a unified approach to Model Lifecycle Management with unified governance, validation, and monitoring – eliminate silos.
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Integrate AI/ML/GenAI models into your model ecosystem and ensure regulatory compliance with frameworks like SR 11-7, SS 1/23, and the EU AI Act.