Product Introduction
Continual is an operational artificial intelligence platform designed to help build predictive models on modern data stacks. Users can easily create predictive models on popular cloud data platforms such as BigQuery, Snowflake, Redshift, and Databricks. Continual simplifies the process of building and maintaining predictive models, eliminating the need for complex engineering or infrastructure like MLOPS platforms, through simple SQL or dbt statements. The functionality can also be shared among teams, accelerating model development. Models built on Continual continuously improve, ensuring that predictions are always up-to-date. Data and models are stored directly in the repository, making them easy to manipulate and accessible to BI tools. Continual is highly flexible and can be used for various business scenarios, including predicting customer churn, inventory demand, and customer lifetime value. It is designed for modern data teams who love SQL and dbt, but it is also suitable for data scientists who can extend the platform through Python integration. Continual's declarative approach makes it easy to collaborate with analytics and data teams.