Aera Cortex™ is a purpose-built AI engine that enables Decision Intelligence. It allows the operationalization of AI and ML in a business decision-making scenario. With Aera Cortex™, the application of domain-specific algorithms, optimization techniques, and interactions with data science models converge to deliver optimal decision outcomes. The platform offers robust ModelOps capabilities allowing the execution of pre-existing models or the development and ongoing operation of custom ones. Cortex is built for business flexibility, with features that manage model training, automate decision-making, and learn from executed decisions.
- Comprehensive MLOps/ModelOps platform designed for the building, training, and maintenance of ML models, or leveraging of previously developed models.
- Direct integration to live datasets, ensuring real-time data for model training.
- Users have the freedom to customize and train models to specific needs without requiring intricate coding knowledge.
- An Automated Model Training Infrastructure is incorporated, allowing Cortex to learn from executed decisions and improve outcomes.
- Operationalization of existing models trained in different MLOps tools within a decision-making context, maximizing previous investments.
Aera Cortex™ is a purpose-built AI engine that enables Decision Intelligence. It allows the operationalization of AI and ML in a business decision-making scenario. With Aera Cortex™, the application of domain-specific algorithms, optimization techniques, and interactions with data science models converge to deliver optimal decision outcomes. The platform offers robust ModelOps capabilities allowing the execution of pre-existing models or the development and ongoing operation of custom ones. Cortex is built for business flexibility, with features that manage model training, automate decision-making, and learn from executed decisions.
- Comprehensive MLOps/ModelOps platform designed for the building, training, and maintenance of ML models, or leveraging of previously developed models.
- Direct integration to live datasets, ensuring real-time data for model training.
- Users have the freedom to customize and train models to specific needs without requiring intricate coding knowledge.
- An Automated Model Training Infrastructure is incorporated, allowing Cortex to learn from executed decisions and improve outcomes.
- Operationalization of existing models trained in different MLOps tools within a decision-making context, maximizing previous investments.