The easiest way to continually predict

Continual is an operational AI platform for the modern data stack. Build predictive models that never stop improving without complex engineering. Try it for free.

Crafted to work natively with modern cloud data platforms

Practical Intro to Generative AI: Tips & Tricks
Continual $4M from Amplify Partners

The missing AI layer for
the modern data stack

Continual sits on top of cloud data platform like Snowflake, BigQuery, Redshift, and Databricks and makes it easy to build predictive models that never stop learning. These models can predict anything, from customer LTV to inventory levels.
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 SQL or dbt or extend with Python.

Get continually improving predictions at scale

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

Say goodbye to complex MLOps platforms and fragmented ML tools

Zero Infrastructure

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

Centralized 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.

dbt Integration

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

CI/CD Friendly

Govern features, models, and policies with a declarative GitOps workflow as you scale.

Extensible with Python

Unite analytics and AI teams with full extensibility of Continual's declarative AI engine.

See how Continual unites analytics and AI 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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