Datatron

Founded 2016

Deploy, monitor, and govern machine learning models in production environments

Pricing model

Demo

You can use Datatron to deploy, manage, and govern machine learning models in production environments. It connects with your continuous delivery pipeline so you can roll out models without writing custom deployment scripts. The system tracks live models to detect drift, bias, and performance drops, sending alerts before issues impact users. You can run A/B tests between different model versions and generate audit reports to meet compliance and risk regulations across various business departments, all while managing infrastructure needs through simplified container orchestration.

What Datatron does

Deploy a trained model to a Kubernetes clusterConfigure drift alert thresholds for incoming inference dataGenerate model risk management compliance reportsRun A/B split tests on live production trafficCatalog enterprise machine learning models and track ownershipInspect model explainability charts during performance dropsReal-time tracking of model drift and biasCentralized model catalog and inventoryAutomated A/B testing for production modelsAudit-ready model governance and risk reportingBuilt-in JupyterHub integration for data scientistsKubernetes management for virtual private cloud setupsCustom metric alerts and threshold notifications