Our DataKitchen DataOps platform enables the quick iterations and deployment new predive models into production while monitoring model quality. We move data science model pipelines into production, automates orchestration, and guarantee machine learning performance.
We provide simple, single platform where data scientists, data engineers, IT Operations, and business analysts come together to automate and optimize machine learning across the enterprise:
• Orchestrate from data, to ML model, to customer value. We have an integrate data and model pipeline with integrated quality checks to make sure bad results does not slip into your customers' hands or systems. Our platform also manage the code produced by your tools.
• Deploy ideas to production - Our platform will help you get your new model into production quickly by simplifying the process of branching & merging code, creating and managing work environments, automating deployment, parameterizing the process, and promoting re-use.
• Automate and monitor quality - while orchestrating data to customer value or deploying ideas to production our platform provides a framework for automated tests so you can work with confidence.