RTE Runner by Cybersoft North America

RTE (Real-Time Execution) Runner is a platform dedicated to operationalizing machine learning models. It connects to various data sources, automates the execution of trained models to generate predictions or scores, and then monitors the ongoing health and performance (like drift) of those models in production. It manages the entire inference pipeline, from triggering a prediction job based on an event or schedule, to delivering results to downstream applications, ensuring ML models deliver continuous business value reliably. This platform is for MLOps engineers, data scientists, and application developers who need to move models from experimental notebooks into robust, scalable production systems. It is crucial for any company deploying multiple ML...

Our verdict: RTE Runner addresses the critical 'last mile' of the machine learning lifecycle: production deployment and monitoring. By automating model execution and health checks, it reduces operational risk and technical debt. For teams scaling their ML initiatives, it is a valuable tool for ensuring models remain accurate and useful.

This platform is for MLOps engineers, data scientists, and application developers who need to move models from experimental notebooks into robust, scalable production systems. It is crucial for any company deploying multiple ML models that require scheduling, monitoring, and integration with live data feeds.

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