RelationalAI: AI coprocessor for data clouds and language models with a groundbreaking relational knowledge graph system

The

AI Coprocessor

For Your Data Cloud

Graph Analytics

Optimization

Business Rules

"Acting as an AI coprocessor, RelationalAI enables us to enhance our semantic models and perform sophisticated analysis like graph analytics to understand latent patterns in our data."

Mark Austin
VP of Data Science and AI

See RelationalAI in Action

To learn more about using RelationalAI with the Snowflake Data Cloud, please Contact Us.

RelationalAI is the industry's first AI coprocessor for data clouds and language models. Its groundbreaking relational knowledge graph system expands data clouds with integrated support for graph analytics, business rules, optimization, and other composite AI workloads, powering better business decisions.

RelationalAI is cloud-native and is built with the proven and trusted relational paradigm. These characteristics enable RelationalAI to seamlessly extend data clouds and empowers you to implement intelligent applications with semantic layers on a data-centric foundation.

Complete your data cloud with relational knowledge graph capabilities

Power better decisions with enriched semantic models

Build intelligent apps on a data-centric foundation

Drive efficiencies and savings

Use Cases

Unlike point solutions, which provide a sliver of capabilities and operate outside your data cloud, RelationalAI is always in sync with your data and enables you to apply multiple AI techniques to solve a problem. The result is a level of insight that is simply unmatched in the market. Common use cases for RelationalAI include:

Fraud Detection — Identify sophisticated fraudulent activity in ecommerce, financial services, telecommunications, and more by surfacing meaningful patterns and predictive elements in your data to reduce loss and protect your customers.

Supply Chain Optimization — Quickly adapt to dynamic environments and calculate your best course of action to reduce costs, maximize resource utilization, and meet the changing needs of your customers.

Contextual Recommendations — Go beyond personalization with behavior-based recommendations, paired with supply chain signals to improve customer experience, increase basket value, and align with business priorities.

Benefits

Complement your investments with multiple AI capabilities, natively integrated with your data cloud. Benefit from a fully managed cloud service that is always in sync with your business.

Gain deeper knowledge faster through enriched semantic models that everyone can understand. Capture latent insights from your data through sophisticated analyses.

Simplify application development and accelerate time-to-value with a common set of compact and expressive models that derive intelligence from your data.

Harness your existing governance and security solutions, eliminate duplicate effort and infrastructure, and enhance productivity and collaboration by instantly sharing knowledge.

Use Cases

Get Started!