Continual

Continual is an AI platform that simplifies the process of creating predictive models on popular cloud data platforms like BigQuery, Snowflake, Redshift, and Databricks. It eliminates the need for complex engineering or MLOPS platforms by allowing users to build and maintain models through simple SQL or dbt declarations. Additionally, Continual allows for easy sharing of features across teams, speeding up model development. The models built on Continual continuously improve, ensuring up-to-date predictions. Data and models are stored directly on the warehouse, making them easily accessible to operational and BI tools. Continual is versatile and can be used in various business scenarios, such as predicting customer churn, inventory demand, and customer lifetime value. It is designed for modern data teams who prefer SQL and dbt, but it is also accessible to data scientists who can integrate Python. The declarative approach of Continual makes it user-friendly for analytics and data teams.