Kainos MLOps leverages end-to-end DevOps and ML technologies on AWS, industry best practice playbooks and model IP that enables organisations to quickly and efficiently transition from tactical to strategic use of data science in production at scale.

MLOps will transform your adoption of data science using best practice to drive common policy, process and practice. We leverage industry-leading cloud-native technologies such as AWS SageMaker, while including playbooks and model tools that enable transition from tactical to strategic cloud data science in production at scale.

By establishing a shared set of guidelines, Kainos MLOps drives alignment between data science, engineering and operations teams. Kainos will provide you with a tailored service ranging from a Fully Managed Service to the enablement of inhouse teams based on your requirements.

What do you get?

Increase automation while maintaining the quality and security of data

Ensure compliance with regulation for ML predictions and decision-making

Adopt cloud scale for ML safely and confidently through standardisation

Optimise technical investment required to upskill and retrain

Reduce risk of failure through automation of monitoring and alerts for live services.