Bring relevant enterprise context to AI agents with Cohesity and NVIDIA

AI agents can tackle increasingly complex business questions. But even powerful models struggle without relevant enterprise context. Organizations need to give agents access to the proprietary knowledge they need to deliver meaningful results.

That's where Cohesity Gaia comes in.

Turn protected data into enterprise context

Enterprises store valuable knowledge across SaaS applications, on-premises systems, and cloud repositories. Much of it lives in unstructured documents, making it difficult for AI applications and agents to find the right context for a particular task.

Cohesity already protects this data in the Cohesity Data Cloud. Cohesity Gaia builds on that foundation, using search and retrieval to help users and agents find relevant information embedded in protected business documents. 

Organizations can reuse the data they already protect to support AI workflows instead of building new data collection and preparation processes from scratch.

Cohesity Gaia builds on the enterprise data protected in the Cohesity Data Cloud to make relevant knowledge accessible to AI applications and agents, leveraging NVIDIA's Nemotron Rerank to improve enterprise retrieval.
 

Cohesity Gaia serves as an enterprise context data layer, connecting protected enterprise knowledge with the AI applications and agents that need it. Through its Model Context Protocol (MCP) interface, external AI applications and agents can access that knowledge using Cohesity Gaia’s search capabilities.

Improve enterprise retrieval with NVIDIA 

Cohesity Gaia uses NVIDIA Nemotron Retriever models, including Nemotron Rerank through NVIDIA NIM to surface relevant information from protected enterprise data. After Gaia retrieves candidate results, reranking evaluates their relevance to the question and prioritizes useful evidence for AI applications and agents.

At GTC Berlin, NVIDIA is introducing the NVIDIA Agent Knowledge Foundation, a collection of open NVIDIA models and accelerated libraries that help enterprise agents retrieve relevant context, understand business meaning, and use enterprise knowledge.

These modular technologies complement existing enterprise data platforms and align with our vision for Cohesity Gaia: helping enterprises turn proprietary data into useful context.

We're excited to explore how NVIDIA Agent Knowledge Foundation technologies could complement Cohesity Gaia as enterprises pursue more sophisticated AI workflows.

From enterprise knowledge to production AI 

The next step for enterprise AI isn’t simply giving agents more data. It’s helping them find and use the right information at the right time to solve complex business problems. With Cohesity Gaia and NVIDIA Agent Knowledge Foundation, we’re advancing the foundation for more sophisticated, context-aware AI applications and agents.