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Continual

Machine Learning Platforms · AI & Machine Learning

Overview

Employees

28

Founded

2019

Location

San Francisco, California

Industry

information technology & services

About

Continual is a San Francisco-based AI startup founded in 2019. The company offers an operational AI platform that simplifies the deployment and maintenance of predictive models within cloud data warehouses. Its core product is a warehouse-native AI platform that enables data teams to automatically generate and maintain predictions, such as customer churn, inventory forecasts, and sales predictions, without the need to move or duplicate data. The platform features a simple declarative workflow and end-to-end automation.

In addition to predictive modeling, Continual has developed an AI agent platform that allows product and engineering teams to create conversational experiences, AI automations, and intelligent agents. This platform integrates seamlessly with enterprise systems to automate workflows and optimize operations. Continual primarily serves businesses and organizations with modern data stacks, focusing on data, product, and engineering teams. The platform supports integration with major cloud data warehouses like Snowflake, BigQuery, and Databricks. The company has raised approximately $18.5M–$22M in funding, including a $14.5M Series A round.

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