Put your knowledge to work
Capture your collective “common sense”
RelationalAI’s knowledge graph provides a common model of your business to help you observe, decide, and act.
Streamline and enhance decisions
RelationalAI’s coprocessor powers advanced analytics and AI to ensure you can make consistent, high quality decisions at unprecedented speed across the entire organization.
Leverage your data cloud to its full potential
Our deep integration means you get powerful new decision tools all while maintaining your existing security and governance.
A different level of integration
We believe that rather than creating yet another silo, knowledge graphs should live with your data and take advantage of the tremendous value you get from centralizing everything in Snowflake’s data cloud.
Since RelationalAI’s native application is built on top of Snowpark Container Services, data never leaves the Snowflake perimeter. You get the same governance and the same security, but with a new set of tools for decision making.
That gives you super powers
Built for Compound AI
Analyze interconnected data to uncover hidden patterns and relationships by leveraging advanced graph queries for path finding and graph algorithms for community detection, centrality, similarity, link prediction and path analysis. Build intelligent applications like fraud detection, customer 360,supply chain risk management, entity resolution, and more.
Simplify intelligent application development with expressive and scalable rule-based based reasoning, by bringing knowledge and semantics closer to your data, reduce your code footprint by 10x, improve accuracy, and drive consistency and reusability across your organizations with common business models understood by all.
Predict the impact of your decisions by leveraging GenAI and Graph Neural Networks to build accurate models directly from your knowledge graph without the need for manual feature engineering. (Coming soon)
Optimize complex business operations faster and more efficiently with sophisticated solvers for mixed integer programming (MIP) and satisfiability (SAT). Understand business objectives and use a conceptual model of your business to identify optimization potential quickly and easily. (Private preview)
For problems that matter
Customer 360
Uncover important relationships and connections to improve engagement. By integrating data from various sources, gain a comprehensive view of your customers, enabling more personalized interactions and targeted marketing strategies.
Fraud detection
Build graph-based features to augment your fraud model predictions. Leverage advanced analytics to detect unusual patterns and suspicious activities, reducing the risk of fraudulent transactions and protecting your business.
Recommendations
Identify similar consumers or products for personalized recommendations. Enhance customer satisfaction and drive sales by offering tailored suggestions based on user behavior and preferences, fostering a more engaging shopping experience.
Supply chain visibility
Track products throughout your supply chain with ease. Enhance operational efficiency by identifying bottlenecks and potential disruptions, ensuring timely deliveries and optimized inventory management.
Entity resolution
Use a knowledge graph to “see” through noisy data to find related information and duplicated data. Achieve higher data accuracy and consistency, improving decision-making and operational efficiency by eliminating redundancies and ensuring reliable insights.
Influencer analysis
Identify influencers and communities in your customer base. Leverage insights to amplify your marketing campaigns by targeting key opinion leaders and understanding the social dynamics within your customer network.