RelationalAI Announces New Reasoning Capabilities for Sophisticated Intelligent Apps in Snowflake

Core Insights - RelationalAI launched new product capabilities at Snowflake Summit 2025, enhancing its native app for the Snowflake AI Data Cloud, enabling enterprises to build intelligent, data-centric applications without data movement or architectural complexity [1][2][3] Product Enhancements - The new capabilities allow organizations to transition from reactive analytics to reasoning-powered decisions, providing a complete foundation for building semantics-aware, AI-native applications [2] - Key features include: - Support for next-generation LLM question answering with text-to-reasoner capabilities, enhancing decision-making processes [4] - Interoperability with Snowflake Semantic Views, improving accuracy and consistency in business semantics [4] - Integrated prescriptive reasoning using mathematical optimization solvers for optimal decision-making in complex domains [4] - Expanded support for graph reasoning, enabling applications to navigate complex data relationships [4] - Integrated predictive reasoning with graph neural networks (GNNs) for improved accuracy in demand forecasting, churn prediction, and risk scoring [4] Industry Impact - The collaboration with Blue Yonder demonstrates the practical application of RelationalAI's knowledge graph in AI-powered supply chain management, significantly reducing legacy code by 90% [2] - The enhancements are expected to streamline processes for Snowflake customers, helping them realize the full potential of their data [2][3]