We’re thrilled to announce that the Contextual AI Platform is now available as a native application on the Snowflake Marketplace. This integration marks a significant milestone for enterprises looking to deploy generative AI to extract valuable insights from their data and documents in Snowflake, all while maintaining robust security and governance.

The native application enables joint customers to build and deploy specialized RAG agents directly within their Snowflake customer environment—no data movement required. Deployment takes minutes: simply install the Contextual AI Platform from the Snowflake Marketplace, connect your data sources or upload documents, and begin building agents that actively retrieve and reason over your enterprise knowledge.

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The Enterprise AI Challenge

Despite AI’s transformative potential, many organizations still struggle to implement production-grade AI systems that deliver consistent value. Building effective enterprise AI systems requires expertise across multiple domains—from document chunking to multimodal retrieval to grounded generation. When these components are not seamlessly integrated, errors multiply throughout the system, compromising overall performance and limiting potential production use cases. 

The Contextual AI Platform was purposefully designed to address these technical challenges and help enterprises accelerate their path to production. Instead of piecing together a brittle architecture composed of disparate models, our platform jointly optimizes state-of-the-art components as part of a single, unified system. The result is superior accuracy and performance out of the box, enabling teams to tackle more ambitious AI use cases and deliver ROI to their business.

However, there are other operational challenges enterprises face in reaching production. Security reviews for AI systems can hold up projects, especially when sensitive data is involved. Procurement cycles can be equally protracted, with multiple approvals required across IT, legal, and finance teams. These delays mean lost opportunities and competitive disadvantage.

Contextual AI and Snowflake—A Powerful Partnership

The Contextual AI native application on Snowflake Marketplace shifts how enterprises approach their AI initiatives. Rather than creating pipelines to move data between different platforms—introducing security, compliance, and synchronization challenges—the Contextual AI Platform brings advanced AI capabilities directly to where customer data already lives.

The direct integration with Snowflake eliminates critical barriers to enterprise AI adoption:

• Data Stays Put: Analyze massive volumes of data directly within your Snowflake environment
• Enterprise-Grade Security: Leverage Snowflake’s robust security architecture, RBAC, and governance controls to keep sensitive information protected
• Simplified Procurement: Familiar consumption-based pricing makes controlling costs easy; pay with existing Snowflake credits bypassing lengthy approval cycles
• Effortless Scaling: Handle growing data volumes and user demands with Snowflake’s elastic infrastructure
• Time to Value: Seamlessly deploy a state-of-the-art platform and transform how your enterprise interacts with enterprise data in just hours.

Data teams can easily add sophisticated AI capabilities to their preferred data platform to extract deeper insights from documents, images, and tabular data to power intelligent automation and augment human capabilities. Enterprises can dramatically reduce implementation time while increasing the adoption of AI tools.

“The exponential growth of data in enterprise environments demands sophisticated AI solutions that can extract meaningful insights and maintain strict security standards,” said Prasanna Krishnan, Head of Collaboration and Horizon, Snowflake. “Contextual AI’s Snowflake Native App gives joint customers the capabilities to build specialized RAG agents that can analyze their most complex data, all while enabling customers to keep their data secure.”

Start in Minutes, Not Months

With the Contextual AI Platform, enterprises can reach production in days instead of months, streamlining development and minimizing infrastructure management. Getting started with the Contextual AI Platform through the Snowflake Marketplace is simple and straightforward:

1. Deploy: Install the Contextual AI Platform directly from Snowflake Marketplace
2. Connect: Upload directly to the platform or connect to your enterprise data sources
3. Create: Build specialized RAG agents to augment your experts and automate your specific business workflows
4. Analyze: Start querying your data using natural language and receive highly accurate, contextual responses

Through our early partnerships with leading enterprises like Qualcomm and HSBC, the platform has been battle-tested in production across a variety of industries and functional domains. Joint customers of Contextual AI and Snowflake are now able to pursue similarly ambitious and high-value AI use cases. By analyzing your data and documents stored in Snowflake, specialized RAG agents built on the Contextual AI Platform increase the efficiency of knowledge workers across the business, saving hundreds of hours each month by automating complex workflows.

Building on a Strong Foundation

The Snowflake Marketplace integration strengthens an already robust partnership between Contextual AI and Snowflake. Snowflake Ventures participated in Contextual AI’s Series A funding round, recognizing the transformative potential of our platform for building specialized RAG agents and addressing high-value enterprise AI use cases. We’re also excited to announce our sponsorship of the upcoming Snowflake Summit in San Francisco, June 2-5, where we’ll showcase new platform capabilities, expanded integrations, and customer success stories. Visit our booth #2423 to see a demo and learn more!

Ready to transform how your organization leverages AI? Visit the Snowflake Marketplace today to deploy the Contextual AI Platform. 

For more information or to schedule a personalized demo, contact us and learn how to get your most critical AI use cases into production.