RelationalAI, a pioneering startup that integrates artificial intelligence with relational data, has announced the general availability of its Knowledge Graph Coprocessor on the Snowflake Data Cloud. Launched after a successful preview last year, this innovative offering allows Snowflake users to create knowledge graphs and utilize advanced AI and analytics capabilities without the need to move data outside their Snowflake environment.
“This is a significant benefit for our customers,” stated Molham Aref, cofounder and CEO of RelationalAI, in a recent interview. “Typically, to perform tasks like graph analytics and predictive analytics, you would need to extract data from Snowflake and transfer it to a separate solution. If you’re a chief data officer who has invested years in migrating data to Snowflake, the last thing you want to do is move it again.”
The RelationalAI Knowledge Graph Coprocessor is specifically designed to apply AI directly to structured enterprise data stored in relational databases like Snowflake, setting it apart from traditional machine learning methods typically focused on unstructured data.
RelationalAI’s platform enables sophisticated AI functions on enterprise data directly within a customer's Snowflake account.
Tapping into the potential of structured data with machine learning, Aref emphasizes, “We’re the only solution that performs AI on relational data as comprehensively as we do. The most valuable enterprise data is often structured, yet machine learning and AI have not traditionally worked with that data natively.”
The company reports strong early adoption and significant demand for its solution, particularly in sectors such as financial services, telecommunications, retail, and consumer packaged goods. Notable customers, including AT&T, Block, Ritchie Bros, and Blue Yonder, are leveraging the platform to develop knowledge graphs that enhance their complex enterprise data.
The official launch on Snowflake marks a crucial milestone for RelationalAI, a 160-employee startup that has secured $122 million in funding. This partnership has been recognized by Snowflake during recent earnings calls as a testament to its expanding data cloud ecosystem.
As large language models like GPT-4 captivate public interest, Aref believes knowledge graphs will be vital in applying generative AI within enterprises. “These technologies require a knowledge graph to serve as an interface between the structured data and the applications, helping them utilize underlying business logic,” he explained.
With the launch of its Snowflake integration, RelationalAI is well-positioned to empower organizations to leverage AI capabilities directly on the structured data stored in the cloud. As interest in generative AI and knowledge graphs grows, the startup's technology addresses an essential gap in the enterprise AI landscape.