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Snowflake

“The exponential growth of data in enterprise environments demands sophisticated AI solutions that can extract meaningful insights and maintain strict security standards.” “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.”

Prasanna Krishnan, Head of Collaboration and Horizon, Snowflake

Microsoft

“We’re excited about Contextual AI’s enterprise-grade platform that enables us to help our clients overcome the accuracy and auditability challenges that have previously limited production AI deployments. Their advanced context layer delivers transformative business impact across the industries we serve.”

Kshitij Vashishat, Co-founder and Chief Strategy Officer

Google Cloud

“At Google Cloud, we believe that enabling the next generation of generative AI services requires a purpose-built, AI-optimized infrastructure stack, spanning hardware, software, and services. We’re proud to offer customers unparalleled flexibility and performance, and excited to support Contextual AI’s world-class team of AI innovators as they build next generation LLMs for the enterprise on Google Cloud.”

Mark Lohmeyer, VP/GM, Compute and ML Infrastructure, Google Cloud

Elastic

Relevance has always been at the core of Elasticsearch, and this partnership takes that strength into the era of agentic AI. By combining Elastic’s hybrid search and vector database with Contextual AI’s context engineering platform, developers get a feature-rich unified experience for grounding their agents in accurate enterprise context without added complexity. It’s a powerful step forward in making AI both production-ready and scalable.

Steve Kearns, GM of Search Solutions, Elastic