For Data Science & AI Teams

End ML and AI Project Failure

Gone are the days when ML and AI projects withered on the vine, never seeing the light of day. The DataKitchen DataOps Observability and Automation software simplifies the operationalization of ML and AI models by orchestrating end-to-end pipelines for seamless development, training, deployment, and monitoring.

DataOps Software for Data Science and AI Teams

“DataOps provides the continuous delivery equivalent for machine learning and enables teams to manage the complexities around continuous training, A/B testing, and deploying without downtime. Automating these processes frees up the team's time to focus on developing new models and use cases.”

VP, Data Management & Analytics, Global Software Company

Collaborate Across the Entire Data Ecosystem

Your model is not an island. Data Science requires a high level of technical collaboration with other parts of the data organization. The DataKitchen Automation software orchestrates your entire pipeline -- from data access to value delivery -- for seamless integration of all the heterogeneous data centers, tools, infrastructure, and workflows required for successful model development and deployment.

Collaborate Across the Entire Data Ecosystem

Safely Develop and Train New Models

With the DataKitchen Automation software, quickly spin up aligned, fit-for-purpose 'Kitchens' where Data Scientists can experiment, test, and train models, safely and independently.

Safely Develop and Train New Models

Deploy Quickly and Efficiently

The DataKitchen Automation software stops manual deployment steps so that your process evolves from patchwork to a true continuous deployment pipeline. When new models are ready, Kitchens streamline deployments to different release environments by remapping to toolchain connections -- wherever they are located (cloud, hybrid, on-prem).

Deploy Quickly and Efficiently

Monitor Model Performance

DataKitchen's Observability and Automation software enable you to continuously test and monitor your models in production. Customize alerts so your teams are instantly notified when models drift or underperform so you can get a head start on retraining.

Monitor Model Performance

See DataKitchen in action

Learn how DataKitchen helps data teams deliver high-quality analytics with less stress and fewer errors.