Kumo is a Snowflake Native App – Available in Snowflake Marketplace

Join our webinar to learn more about Kumo in Snowflake: Register now

Kumo, a predictive AI solution that helps data scientists better predict user and customer behavior with highly accurate predictive AI models, is now available as a Snowflake Native App in Private Preview in the Snowflake Marketplace.

Today more than ever, organizations strive to maximize revenue impacting KPIs like conversion, cart size, and retention using insights uncovered from historic data but struggle for efficient approaches and significant model improvements. Kumo quickly learns from Snowflake tables to create immediately actionable predictions for uses like personalized recommendations and next best actions. 

Offered as a Snowflake Native App, Kumo is built using Snowpark Container Services so it can be deployed directly in Snowflake without moving or compromising data security. Kumo’s Snowflake Native App combines the power of AI with the scalability and flexibility of the Data Cloud to build better predictive AI models faster.

“Snowflake data holds a tremendous amount of value that can be unlocked with AI. With the Snowflake Native App Framework and its new support for Snowpark Container Services, partners like Kumo can bring their AI solutions directly to customers, running directly on their secure and governed data inside Snowflake,” said Prasanna Krishnan, Head of Collaboration and Horizon at Snowflake. “This means data scientists can quickly and easily take full advantage of all their Snowflake data by transforming it into actionable insights quickly, securely, and powerfully in the Data Cloud.”

Kumo’s founders know how hard it is to build high performing models – even getting access to the data can be a challenge. Kumo’s partnership with Snowflake simplifies the process and eliminates many of the usual hurdles.

“Kumo is the fastest way we’ve found to build better ML models. Its AI learns from all the data we have in Snowflake and then creates out-of-the-box models that we can fine-tune,” Damon Bryan, Co-founder and CTO.

Kumo represents a paradigm shift in how predictive AI models are built. Instead of manual feature engineering, Kumo uses a specialized AI to identify and maximize the signal hidden in Snowflake data—producing predictive AI models that are up to 75% more accurate. This means a data scientist can answer a variety of business questions with very high accuracy in hours instead of months, opening a more strategic partnership between data teams and the business they support. 

Key Benefits of Kumo as a Snowflake Native App in Snowflake Marketplace

Build predictive AI in Snowflake

Bring the power of deep learning inside Snowflake to better use tabular, relational data for predictions. Combine Kumo with Cortex for superior predictive AI models. Existing Snowflake workloads like ETL and EDA and code can be reused to accelerate development.

Control all data inside Snowflake

When using Kumo in Snowflake, no data leaves the customer’s Snowflake environment. Data and artifacts generated by Kumo are stored securely within the customer’s Snowflake environment and adhere to Snowflake retention policies.

Retain Snowflake’s security, compliance, and governance

Because Kumo runs inside the customer’s Snowflake environment, it inherits all Snowflake security, governance rules, and capabilities like column and row level security. Data scientists can seamlessly integrate with existing Snowflake workflows and policies for managing data by directly using Snowflake as the data source and processing engine.

Simplify adoption

Snowflake customers can easily access Kumo in the Snowflake Marketplace and pay for it with Snowflake credits. Snowflake Single Sign-On (SSO) can be used for authentication and a 30-day trial is available to select Snowflake customers.

Improve model performance

Kumo improves prediction accuracy by eliminating hand-crafted feature engineering and instead learning embeddings directly from raw relational data, while providing advanced controls so the data scientist can add business value at each step.

Go from raw data to predictions

Deploy predictive AI in production. Kumo learns directly from your Snowflake data and uses AI to generate a model in hours, not months. Kumo’s automated pipelines keep models fresh so the AI always learns from the latest Snowflake tables.

The Kumo’s Snowflake native app brings AI to the very tedious process of machine learning and  empowers organizations to quickly unlock the full potential of their Snowflake data to fuel data-driven decisions and forecast future trends. Together, Kumo and Snowflake offer a streamlined and efficient solution for organizations looking to maximize the value of their data using AI. 

To learn more about Kumo’s Snowflake Native App, join our webinar.