Runway™ is an enterprise MLOps platform that integrates model development, deployment, and monitoring into a single platform for continuous development and stable operation.
Supports various types of deployment environments
Runway supports a wide range of deployment environments, from edge devices in the industrial site to cluster nodes in the cloud, as well as the overall process such as deployment of machine learning models, operation, and monitoring.
Provides an intuitive and simple user interface
Possible to configure the complex infrastructure with user-friendly screens and intuitive user interface settings. Even if you are not a developer, you can register and deploy a machine learning model after simple training.
Provides a highly liberal model development environment
By using Link™, an AI/ML modeling tool, you can build learning pipelines for both development and production, and easily modify and transform the pipelines.
Provides a flexible operation environment
The same models developed in the experimental phase are deployed in the production environment, allowing evaluation of new models without any impact on operations.
Supports automatic retraining
It detects data flows and changes in real time and automatically retrains operation models, maintaining the performance level of the machine learning application.