The easiest way to continually predict

Maintain continually improving predictions – from customer churn to inventory forecasts – directly in your data warehouse. No complex engineering required.

Crafted to work seamlessly with your cloud data warehouse

A Modern Guide to Operationalizing Customer Churn Prediction with Census & phData.
Continual $4M from Amplify Partners

The missing AI layer for
the modern data stack

Continual sits on top of your cloud data warehouse and makes it easy to build, deploy and maintain predictive models that never stop learning from your data. These models can predict anything, from customer LTV to equipment failure. Try it for free.
Learn more about how Continual brings AI to the modern data stack
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Built for modern data teams

If you like SQL or dbt, you'll love Continual.
Connect to your cloud data warehouse

Connect to your existing cloud data warehouse and leverage all your data where it already lives.

Define features and models declaratively

Share features and deploy state-of-the-art ML models with nothing but your SQL or dbt skills.

Get continually improving predictions at scale

Maintain predictions directly in your data warehouse for easy consumption by your BI and operational tools.

Simple and powerful

Zero Infrastructure

Maintain features and predictions directly in your data warehouse without new infrastructure.

Shared Feature Store

Share feature definitions defined in SQL across your team to accelerate model development.

Declarative AI Engine

Build state-of-the-art models that leverage all your data without writing code or pipelines.

Feature Time Travel

Avoid data leakage with point-in-time correct features from a collaborative feature store.

dbt Integration

Leverage your existing dbt models and workflow to radically reduce the complexity of operational AI.

CI/CD Friendly

Fully govern features, models, and policies with a declarative workflow that enables GitOps.

See how Continual empowers modern data and analytics teams
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“dbt was built on the idea that the unlock for data teams is a collaborative workflow that brings more people into the knowledge creation process. Continual brings this same viewpoint to machine learning, adding new capabilities to the analytics engineers' tool belt. We’re excited to partner with Continual to help bring operational AI to the dbt community.”

Nikhil Kothari,
Head of Technology Partnerships at dbt Labs

“Continual is enabling organizations to easily build, deploy, and maintain continually improving predictive models directly on top of Snowflake. As part of our partnership, we’re excited to help bring these benefits to the Snowflake community and to accelerate end-to-end machine learning workflows on top of Snowflake with Snowpark.”

Tarik Dwiek,
Head of Technology Alliances at Snowflake

“Continual gives data and analytics teams the power to build and operationalize predictive models in a fraction of the time.  By putting the data warehouse at the center, Continual radically simplifies enterprise AI.”

Pete Soderling
Founder of Data Council
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