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Rebric helps enterprise clients make sure their machine learning models are always available, performant, and accurate in their predictions. We do this by combining training data, a machine learning model, and specialized supporting infrastructure elements into a package we call a Pattern that we are able to monitor and update continuously. We make these Patterns available to our customers through an API and charge a per transaction fee to access them. 

 

Current competitors do not provide support to monitor, manage, and implement a production ready machine learning model that can be used on a daily basis. SageMaker and Databricks are implementations of specific processes that provide pre-optimized models. Domino Data Labs and Onecloud provide a more flexible platform, but require operational staff from the client company to support and implement. Our competitors require a data scientist on staff or someone serving in that role to handle initial setup and continued operation of the system.

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