RelationalAI Launches Powerful Knowledge Graph Coprocessor for Snowflake Users

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RelationalAIa startup that applies artificial intelligence directly to relational data today announced its general availability Knowledge graph coprocessor on the Snowflake Data Cloud. The offering, first previewed last year (which we covered in detail here ), allows Snowflake customers to build knowledge graphs and leverage advanced AI and analytics capabilities without moving data from their Snowflake environment.

“This is a huge win for the customer,” said Molham Aref, co-founder and CEO of RelationalAI, in an interview with VentureBeat. “Typically, to do the things we do – graph analytics, rule-based reasoning, prescriptive analytics, predictive analytics – you have to take the data out of Snowflake and put it into a point solution. If you’re a Chief Data Officer and you’ve moved all your data into Snowflake over the last two or three years, the last thing you want to do is move it back out.”

The RelationalAI Knowledge Graph Coprocessor is uniquely designed to apply AI directly to structured business data in relational databases like Snowflake. This contrasts with most machine learning and AI approaches that focus on unstructured data such as text, images and audio.

RelationalAI’s architecture enables advanced AI on enterprise data directly within a customer’s Snowflake account. (Image credit: Relational AI)

Unleash the potential of structured business data with machine learning

“We are the only system, the only solution that applies AI to relational data as broadly and comprehensively as we do,” says Aref. “The most valuable data [in the enterprise] is actually often stored in a structured form. And historically, machine learning and AI have not worked natively or directly on that data.”


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RelationalAI reports strong early traction and “infinite demand” for its offerings, especially in the financial services, telecommunications, retail and consumer packaged goods sectors. Customers such as AT&T, Block, Ritchie Bros and Blue Yonder use the platform to build knowledge graphs that provide a semantic layer over their complex business data.

Enabling Generative AI for Businesses with Knowledge Graphs

The launch on Snowflake is a major milestone for the 50-person startup, which is estimated to have raised $122 million in funding at a valuation of $569 million. Pitch book. Snowflake, which has a market cap of more than $40 billion, cited the RelationalAI partnership in recent earnings calls as an example of the growing data cloud ecosystem.

While big language models like GPT-4o capture the public imagination, Aref sees knowledge graphs playing a key role in the application of generative AI in the enterprise.

“All of these things need something like a knowledge graph as an interface, to be able to talk to the underlying structured data, and to be able to talk to you and understand and leverage the business logic that is in applications,” he said.

With the Snowflake integration going GA, RelationalAI is well positioned to help companies leverage the power of AI on the valuable structured data they already have in the cloud. As interest in generative AI and knowledge graphs grows, the startup’s technology addresses a crucial missing piece in the enterprise AI stack.

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