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RelationalAI

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About

RelationalAI empowers organizations to make fast, repeatable, and future-ready decisions by operationalizing their knowledge. It achieves this by leveraging a relational knowledge graph and integrating four distinct AI workloads directly into the Snowflake data cloud. This includes powerful decision-making tools such as graph reasoning for uncovering hidden patterns and community detection, rules-based reasoning for simplified intelligent application development, predictive reasoning utilizing GenAI and Graph Neural Networks to forecast decision impacts, and prescriptive reasoning with sophisticated solvers for mixed integer programming and satisfiability to optimize business operations. RelationalAI acts as a coprocessor within Snowflake, ensuring all data, rules, relationships, and decision systems remain securely within the existing data perimeter, enabling comprehensive intelligence for all data and workloads.

Platform
Web
Task
decision making

Features

operationalize data, rules, relationships, and decision systems

native application integration within snowflake data cloud

relational knowledge graph for collective common sense

prescriptive reasoning with mip and sat solvers

predictive reasoning using genai and graph neural networks

rules-based reasoning for intelligent application development

graph reasoning for pattern detection and graph algorithms

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