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About Continual

Continual is an AI platform that is specifically designed for modern data stacks. Its primary objective is to simplify the process of building predictive models. Continual is compatible with popular cloud data platforms such as BigQuery, Snowflake, Redshift, and Databricks. One of its key features is that it eliminates the need for complex engineering or MLOPS platforms. Instead, users can build models using SQL or dbt declarations.

Continual also allows for accelerated model development by sharing features across teams. Additionally, models improve over time, ensuring that predictions are always up-to-date. Data and models are stored directly on the warehouse, making them easily accessible with operational and BI tools.

Continual is a versatile platform that caters to various business needs. It can be used to predict customer churn to improve retention strategies, forecast inventory demand for efficient supply chain management, and estimate customer lifetime value to optimize marketing efforts.

Continual is designed for modern data teams and is accessible to both SQL and dbt enthusiasts, as well as data scientists integrating Python.

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