Continual - Operational AI Platform for Predictive Models

Continual is a powerful operational AI platform that simplifies the process of building and maintaining predictive models on modern data stacks. With its user-friendly interface, users can easily create predictive models on popular cloud data platforms like BigQuery, Snowflake, Redshift, and Databricks.

Unlike traditional methods that require complex engineering or infrastructures such as MLOPS platforms, Continual enables users to build and maintain models through simple SQL or dbt declarations. This means there is no need for extensive coding or technical expertise.

One of the key advantages of Continual is its ability to share features across teams, which accelerates model development. This collaborative feature ensures that the models built on Continual continually improve, providing up-to-date predictions.

Data and models are stored directly on the warehouse, making them easily accessible to operational and BI tools. This seamless integration allows users to leverage their existing data infrastructure without any hassle.

Continual is versatile and can be particularly useful for businesses looking to predict customer churn, inventory demand, and customer lifetime value. Whether you are a data team who loves SQL and dbt or a data scientist looking to integrate Python, Continual is designed to meet your needs.

Take advantage of Continual's declarative approach to AI and start building accurate predictive models with ease. Join our growing community of analytics and data teams who are already benefiting from Continual's powerful capabilities.