Crafted to work natively with modern cloud data platforms
Connect to your existing cloud data warehouse and leverage all your data where it already lives.
Share features and deploy state-of-the-art ML models with nothing but SQL or dbt or extend with Python.
Maintain predictions directly in your data warehouse for easy consumption by your BI and operational tools.
Maintain features and predictions directly in your data warehouse without new infrastructure.
Share feature definitions defined in SQL across your team to accelerate model development.
Build state-of-the-art models that leverage all your data without writing code or pipelines.
Leverage your existing dbt models and workflow to radically reduce the complexity of operational AI.
Govern features, models, and policies with a declarative GitOps workflow as you scale.
Unite analytics and AI teams with full extensibility of Continual's declarative AI engine.