Tecton and Modelbit have partnered to release an integration that enables a more streamlined ML model deployment and feature management workflow. This integration allows machine learning teams to use Modelbit to rapidly train and deploy ML models that retrieve and utilize features built in their Tecton feature store, reducing operational complexity and enabling real-time feature access. The integration simplifies the process from feature management to model deployment, making it a valuable tool for any team working in the machine learning space, particularly those requiring dynamic and consistent feature sets like fraud detection models. With this integration, ML teams can focus on model development and experimentation without worrying about the intricacies of feature management and model deployment, reducing the time from model conception to deployment and enabling rapid prototyping and deployment.