RelationalAI Native App for Snowflake now Generally Available

Intelligent applications have the potential to transform how organizations automate and accelerate decision-making, moving us towards the AI-assisted enterprise. To create these applications, organizations must first address the inherent challenges in business decision-making. Business decisions are often complex, slow and hindered by silos. Data clouds have helped break down some of these silos, giving us access to more data than ever before. Yet companies still struggle to contextualize and fully understand their data. This is worsened by the fact that the technology required to capture business context, enhance decision-making and build intelligent applications remain fragmented, difficult to use, and are not well integrated with today’s data cloud environments.

This week at Snowflake’s annual developer conference, BUILD 2024 we announced the General Availability of the RelationalAI Native App for Snowflake. RelationalAI’s relational knowledge graph fills a critical gap in the enterprise AI infrastructure and together with Snowflake, provides a platform for intelligent applications. As a coprocessor for the Snowflake data cloud, RelationalAI natively integrates knowledge graph capabilities with Snowflake. RelationalAI extends the Snowflake platform with compound AI capabilities for conceptual modeling, rule based reasoning, graph analytics and prescriptive analytics. Available on the Snowflake marketplace, the RelationalAI Native App operates securely within a Snowflake consumer account.

Snowflake customers are already using RelationalAI to enhance user experiences in payment networks, model supply chain complexity and disruptions, improve asset management in equipment supply, and modernize clinical trial management. Agero, a company powering the next generation of driver safety, is using RelationalAI to reduce fraud and improve driver experience.

"Agero supports over 30,000 drivers every day through a combination of intelligent software and human expertise. With RelationalAI, we expect to significantly enhance our fraud detection capabilities using their advanced graph algorithms. RelationalAI's knowledge graph empowers our team to model drivers, service providers, and the web of interactions between them. Thanks to RelationalAI's similarity analysis, we can now identify complex fraud rings within our provider network and uncover second- and third-degree connections to fraudulent actors—something that was impossible with traditional methods. We're excited to continue working with RelationalAI to reduce fraud and improve service for our customers." - Soumya Braganza, Director of Data & Analytics at Agero

With General Availability, RelationalAI is now ready to support production use of compound AI workloads in Snowflake AWS regions with Azure support coming soon.

Build faster with familiar languages and tools

Snowflake developers can build faster and more effectively with native integration of Snowflake developer tools including Snowflake notebooks. RelationalAI’s Python package allows users to easily create models, rules, and relationships from Snowflake data. The Python query builder simplifies the process of utilizing the knowledge graph to uncover new insights. By exporting models as Snowflake procedures, models and logic become accessible to anyone using SQL through existing tools. Additionally, coupled with Snowflake Cortex AI, developers can use a single platform to build AI workloads such as GraphRAG (Graph Retrieval Augmented Generation) and Qirk (Question Answering on Knowledge Graphs), creating more accurate and relevant solutions with GenAI.

Bring intelligence to every business decision

With RelationalAI’s compound AI capabilities, customers can unlock the full potential of their Snowflake data by lifting it into a conceptual model of their business. Rule-based reasoning simplifies the sharing of knowledge and business logic with expressive, scalable reasoning. Customers can use RelationalAI’s scalable graph analytics to uncover hidden patterns and insights through advanced graph algorithms for community detection, centrality, similarity, pathfinding, and more. Coming soon, prescriptive analytics will empower businesses to optimize operations with solvers for mixed-integer programming and satisfiability.

Secure data and knowledge together

RelationalAI runs natively within Snowflake consumer accounts and integrates with Snowflake security, ensuring customer data is protected and never egresses from their account. With support for advanced Snowflake security features such as Tri-Secret Secure encryption, RelationalAI allows customers to confidently build knowledge graphs over their most sensitive data. The support of PrivateLink secures network communication between customer environments and RelationalAI's Native App.

Operate effortlessly and efficiently

By leveraging the simple, in-platform provisioning through Snowflake Marketplace, administrators can acquire and configure the RelationalAI Native App directly from the Snowflake portal, ensuring a smooth and fully integrated experience. SQL management interfaces provide administrators the control to manage and monitor application resources. The new auto-suspend and resume features simplify management while optimizing costs.

RelationalAI for Snowflake is developed with the Native App Framework running on Snowpark Container Services. This makes RelationalAI one of the first native platform extensions to Snowflake with procurement, development, processing, data management, and payment all happening within Snowflake. We are excited to partner with Snowflake to deliver a unique and differentiated platform for organizations to embrace AI and start building intelligent applications.

If you are a Snowflake customer you can get started today by accessing the RelationalAI listing in the Snowflake Marketplace.