In digital lending, machine learning powers risk scoring, fraud detection, and personalization. Yet, most models fail post-development due to poor deployment, lack of versioning, and inefficiencies. Data teams spend 70% of their time on non-modeling tasks like setup and manual integration. Without a standardized deployment framework, lenders face delays, inconsistent results, and compliance risks.
The Lentra MLOps platform streamlines the operationalization of machine learning models by offering secure deployment, comprehensive version control, and real-time monitoring capabilities. It enables financial institutions to efficiently manage and maintain model versions through features like rollback and redeployment. Designed for seamless integration, the platform connects effortlessly with Business Rule Engines, allowing automated model invocation at critical stages of the lending journey.
Automate and standardize the deployment of ML models
across environments with rollback and version control.
Maintain a unified registry of all models, their versions, environments, and deployment status.
Ensure traceability with role-based access control,
approval workflows, and compliance-ready audit logs.
Automate testing and deployment with integrated pipelines.
Easy model management without DevOps
dependency.
Business and data teams can deploy models live
with configurable no-code workflows.
Quick set-up with LOS, LMS, BRE, and credit bureaus to speed up time-to-production.
Meet all your internal and external audit needs with built-in approval flows, traceability, and access control
Empower data science and business teams with self-serve capabilities to deploy, version, and rollback models without relying on DevOps. Reduce dependencies and accelerate iteration cycles with confidence and control.
Cut down model deployment time from weeks to hours. Streamlined CI/CD pipelines and pre-built templates enable rapid testing, approval, and promotion of ML models to production, speeding up innovation and value delivery.
Effortlessly plug ML models into your Business Rules Engine (BRE) using configurable APIs. Enable hybrid decisioning by combining deterministic rules with predictive ML insights.
Deploy and manage models consistently across environments — whether for credit risk, fraud detection, or marketing — with full version control, audit history, and compliance alignment.
Modernize your ML deployment with Lentra MLOps built for the lending ecosystem.
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