Continual

Continual is an AI platform that simplifies the process of building and maintaining predictive models. It enables users to create predictive models on data stored in popular cloud data platforms such as BigQuery, Snowflake, Redshift, and Databricks with ease. Features can be shared across teams so that model development is accelerated. Predictions made with Continual are always up-to-date thanks to its continual improvement feature. Data and models are stored directly on the warehouse making them easily accessible for both operational and BI tools.

Continual is versatile enough to be used in a business setting for predicting customer churn, inventory demand, customer lifetime value, etc. It also provides a declarative approach to AI which makes it easier for analytics and data teams to work with. Additionally, data scientists can integrate Python into the platform if they desire more advanced capabilities. All these features make Continual the perfect tool for modern data teams who love SQL and dbt but still want access to useful AI features without complex engineering or MLOPS infrastructures