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Continual is an advanced AI code assistant that helps businesses to build predictive models that are constantly improving. It is designed to work seamlessly with modern data stacks, and can be integrated with cloud data platforms such as Snowflake, BigQuery, Redshift, and Databricks. With Continual, businesses can easily predict customer LTV, inventory levels, and much more, without the need for complex engineering or MLOps platforms. Additionally, Continual allows businesses to maintain features and predictions directly in their data warehouse, eliminating the need for new infrastructure. The platform also features a centralized feature store, a declarative AI engine, and dbt integration, which helps to radically reduce the complexity of operational AI. Furthermore, Continual is CI/CD friendly, govern features, models, and policies with a declarative GitOps workflow as you scale. And it's also extensible with Python which makes it suitable for analytics and AI teams.



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