NewgenONE Platform
AI-first Deployment and Monitoring Server
Rely on the server for intuitive, enterprise-grade model deployment and performance monitoring at scale.
Identify the best-performing model from multiple available options using the built-in reinforcement learning mechanism, and deploy it with a single click. Retrain models through comprehensive scheduling and governance, while continuously comparing and monitoring performance to gain detailed insights into model behavior.
Enterprise-scale NewgenONE Deployment and Monitoring Capabilities
One-click AI Model Deployment
Intelligent Built-in Reinforcement Learning for Model Selection
Model Retraining and Advanced Self-learning with Governance
AI-driven Continuous Model Performance Monitoring
One-click AI Model Deployment
- Deploy models from the development cluster to production in a single click
- Perform continuous model development, monitoring, and deployment
Intelligent Built-in Reinforcement Learning for Model Selection
- Deploy multiple models together to ensure the best performing model is served
Model Retraining and Advanced Self-learning with Governance
- Retrain models on new datasets with intuitive scheduling and governance
- Allow user to configure parameters for the best model selection
- Deploy the model automatically to production on crossing the user-defined performance threshold
AI-driven Continuous Model Performance Monitoring
- Monitor and understand all models in deployment at the most granular level
- Dive deep by comparing model drift and performance over a period of time
- Understand model behavior with comprehensive monitoring of the model up to parameter levels
One-click AI Model Deployment
- Deploy models from the development cluster to production in a single click
- Perform continuous model development, monitoring, and deployment
Intelligent Built-in Reinforcement Learning for Model Selection
- Deploy multiple models together to ensure the best performing model is served
Model Retraining and Advanced Self-learning with Governance
- Retrain models on new datasets with intuitive scheduling and governance
- Allow user to configure parameters for the best model selection
- Deploy the model automatically to production on crossing the user-defined performance threshold
AI-driven Continuous Model Performance Monitoring
- Monitor and understand all models in deployment at the most granular level
- Dive deep by comparing model drift and performance over a period of time
- Understand model behavior with comprehensive monitoring of the model up to parameter levels
