Today, with Snowflake’s announcement of General Availability of Snowflake Intelligence, we’re excited to share how RelationalAI extends Snowflake’s new, generative AI-powered experience with Q&A on business ontologies and advanced reasoning to unlock high-stakes decision intelligence, directly where your data lives. Going forward, with superalignment, RelationalAI seeks to achieve an even deeper and more nuanced understanding of the business, pushing the decision intelligence frontier further. 

Snowflake Intelligence lets anyone ask business questions in plain language and get accurate, actionable answers on enterprise data with enterprise security and governance. By breaking down data silos and providing an intuitive experience, Snowflake Intelligence democratizes access to business data to everyone in the organization and accelerates decision-making, freeing up technical experts to focus on more strategic initiatives. 

RelationalAI extends Snowflake Intelligence to truly understand your business. It enables users to ask questions about foundational business concepts, relationships, and rules that drive decisions, such as definitions, policies, and governance logic. Users can also uncover relationships and causal dependencies between these concepts that influence key business outcomes, including supply chain disruptions, customer churn, fraud detection, and risk propagation. With RelationalAI, users in the organization can rely on Snowflake Intelligence for subject matter expertise aiding their day-to-day work, and ask not only “what happened?” but also “what will happen?” and “what should we do?” questions without moving data out of Snowflake.  

For example, a procurement manager at a supply chain company can answer nuanced, complex operational questions such as the ones below, to make informed business decisions rapidly: 

• “What type of revenue should be classified as at-risk from international transactions?” 
• “How to optimize the supply chain if [nation] imposes a [%] universal tariff?”
• “What is the shortest feasible supply path for [component] if [supplier] goes offline?”
• “Which customers will likely churn next month, and what interventions can minimize risk?”

Customers can enable these insights in Snowflake Intelligence by integrating with the RelationalAI native app, enabling natural language interaction and advanced reasoning inside the data warehouse.  With semantic models based on relational knowledge graphs and reasoners in RelationalAI native app integrated as Snowflake Cortex Agent custom tools, Snowflake Intelligence interprets the user’s question, selects the appropriate custom tool, and invokes RelationalAI to query the business ontology or to execute the reasoners - returning grounded, explainable results. 

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To enable RelationalAI integration with Snowflake Intelligence, follow the steps outlined here. 
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About RelationalAI

RelationalAI brings frontier decision intelligence natively into Snowflake’s AI Data Cloud. Powered by superaligned LLMs, semantic models based on relational knowledge graphs, and advanced reasoners, RelationalAI enables organizations to build decision agents and intelligence applications that understand business semantics, reason over complex data, and drive high-stakes decisions - all without moving data. Learn more at relational.ai. 

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