Through powerful, composable and self-serve tools, Dataspine enables organizations to manage the AI lifecycle from end to end.
Write or import your own models into zero-setup data science environments that are scalable and production ready, so you can focus on data science and not worry about infrastructure. Use version control & experiment tracking functionality to keep track of your growing model portfolio.
Package trained models into deployment ready containers and deploy those containers as cloud-native microservices in a single click. Private model registries and Role Based Access Control allow for granular control to ensure governance needs are met.
Split live traffic to multiple models in real time, observe individual model performance through our monitoring dashboard and select the model which performs best on live data. A/B testing, shadow mode deployments, champion-challenger mode work straight out of the box.
Use the model monitoring dashboard to keep an eye on things like real-time model performance, data drift, and anomaly detection. Continuous rollout/rollback capabilities of the Dataspine platform ensure that you minimize model risk at all times.