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Run sovereign AI on your protected enterprise data – without moving a byte

Your protected data – now AI-ready – without moving it, duplicating it, or rebuilding permissions.

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overview

Cohesity Gaia: The governed platform for AI-ready data

You’ve already protected years of enterprise data. But AI can’t reach it easily. 

On-prem file servers, NAS systems, and backup environments sit outside the reach of cloud-native AI. Getting that data into AI workflows means copying it, building pipelines, and accepting new compliance risk – before a single agent delivers any value. 

Gaia eliminates that tradeoff. It makes your protected enterprise data AI-ready in place – searchable, summarizable, and agent-accessible – without moving a byte or rebuilding permissions. 

And Gaia is fully ready to deploy as an air-gapped sovereign AI solution for regulated environments. 

Activate enterprise data – without copying it

Activate immutable, time-series unstructured data directly from protected backups – including on-prem environments – without duplicating sensitive content or building complex ingestion pipelines. 

Improve AI accuracy with historical context

Provide AI systems with consistent historical versions across years of enterprise files. Deliver context-aware analysis grounded in immutable enterprise data. 

Connect governed enterprise data to AI platforms

Inject governed historical context into enterprise AI platforms such as Microsoft Copilot, Google Gemini, and Glean (coming soon). No need to retrain users or introduce new workflows.

Available in Gaia SaaS. Also supported in self-managed hybrid deployments where on-prem data connects to cloud-based agentic tools via MCP.

Deploy anywhere. Maintain sovereignty.

Run Gaia as SaaS or fully self-managed on-prem – including fully air-gapped environments – to meet data residency, regulatory, and compliance requirements.

Benefits

Make the safest copy of your data the smartest copy of your data 

Activate backup data for enterprise AI. No data duplication. No new ETL pipelines to build. 

Activate historical backup data within enterprise AI tools – without copying data

Make immutable backup data available to AI systems directly from the Cohesity Data Cloud. Avoid costly data duplication and custom ETL (Extract, Transform, Load) architectures.

Improve AI performance with immutable, time-series historical context

Enable AI systems to reason over consistent historical versions of enterprise content – not just the latest snapshot – improving completeness and trust.

Preserve governance and permissions by design

Enforce granular role-based access controls (RBAC), immutability, and auditability before any data is returned to AI tools.

Deploy on-prem with full data control – including air-gapped environments

Run Gaia entirely within your own infrastructure on validated hardware from NVIDIA, Cisco, and HPE – with no data leaving your environment. Supports hybrid and fully air-gapped deployments for regulated industries and strict residency requirements.

Deploy Gaia based on your data and AI requirements

SaaS
(Cohesity-managed)

Hybrid
(Self-managed)

Air-gapped
(Self-Managed Sovereign AI)

Agent interface

Cloud (Agentic Al integration)

Cloud (Agentic Al integration)

On-prem (Gaia UI)

Compute

Cohesity-managed cloud

On-prem

On-prem

AI Engine

Cohesity-managed

Customer-managed
(powered by NVIDIA)

Customer-managed
(powered by NVIDIA)

Data

On-Prem, SaaS, Cloud

On-Prem

Air-gapped

Data movement

No

No

No

Best fit

Fastest time to value

Regulated organizations with
internet-connected environments

Air-gapped, strict data residency mandates

Examples

Cloud-first enterprises

Financial Services, Healthcare, Public Sector

Air-gapped Public Sector, Defense, Intelligence
Ecosystem

Built with the leaders in enterprise AI 

Gaia Self-Managed deployments are validated and production-ready on reference architectures from NVIDIA, Cisco, and HPE – so your team isn’t starting from scratch. 

NVIDIA logo
NVIDIA

Gaia Self-Managed is powered by NVIDIA AI Enterprise – including NIM for optimized LLM inference, NeMo Reranker for retrieval precision, and Nemo Guardrails for policy-aligned AI responses. Every self-managed deployment runs on NVIDIA GPU compute. 

Cisco icon
Cisco

Gaia runs on a Cisco UCS-based Secure AI Factory reference architecture – validated compute infrastructure for on-prem enterprise AI workloads. For organizations already running Cisco, Gaia extends existing infrastructure investments without requiring new hardware procurement. 

HPE logo
HPE

Gaia runs on an HPE ProLiant reference architecture – purpose-built for on-prem AI in regulated environments. HPE GreenLake customers can deploy Gaia as part of an existing managed infrastructure agreement. 

Demo

Experience Cohesity Gaia in action

Interact with Cohesity Gaia through the Cohesity Data Cloud, as well as the agentic AI tools you already use. Connect Gaia to agentic tools such as Microsoft Copilot, Google Gemini, and Glean (coming soon).

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Features

Trusted historical context for AI agents

AI-powered search, retrieval, and summarization

Search and analyze time-series backup data using natural language. Extract answers, generate summaries, and explore historical context across enterprise content. 

Semantic search and vector indexing 

Build a secure semantic layer on top of backup data. Extract text, generate embeddings, and enable vector search to support advanced AI reasoning. Powered by NVIDIA AI Enterprise technologies, including NIM LLM, Nemotron Reranking NIM, and NeMo Guardrails.

Context injection into enterprise AI platforms 

Integrate with Microsoft Copilot, Google Gemini, and Glean (coming soon). Bring governed, time-series enterprise context into agentic workflows. Available for Gaia SaaS and hybrid self-managed.

Granular RBAC, immutability, and auditability 

Preserve file-level permissions and enforce governance policies before returning any results. Ensure AI responses remain compliant and secure. 

Unite sources and file types graphic on Cohesity Gaia page

Unify and activate your protected enterprise data 

Unlock value from immutable, historical unstructured data already protected in the Cohesity Data Cloud. 

Unify your protected data  

Activate data across on-prem, SaaS, and cloud environments without copying or migrating it into new silos. 

Search across data types – across time 

Securely search enterprise file formats including PDF, PPT, DOC, TXT, HTML, XML, and CSV – with full historical context preserved. 

Connect across enterprise data sources 

Aggregate and govern data from Microsoft OneDrive, SaaS platforms, and on-prem NAS systems – without duplicating data. 

Use cases

Enterprise data insights and historical trend analysis

Analyze how events evolved over time using consistent historical versions of enterprise data. 

Agentic AI enhancement with governed enterprise context

Inject trusted, permission-aware historical context into AI agents to improve accuracy and decision support. 

Sovereign, on-prem AI for regulated environments

Deploy enterprise AI within your own infrastructure to activate AI while meeting strict residency and regulatory requirements.

Coming soon: Gaia Catalog

Gaia Catalog will extend the Cohesity Data Cloud by enabling secure, governed access to curated, time-series enterprise data for advanced AI and analytics use cases. Activate immutable backup data directly within your analytics and AI platforms such as Databricks and Microsoft Fabric – without copying it or rebuilding permissions.

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Testimonials

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JSR Corporation

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Read the case study
Bethany Children's Health Center

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Tift County Schools

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Customer Spotlight

Proven in production: what AI-ready data delivers

80-90%
reduction in AI token usage per query
2-5x
faster query response times
100%
of data stays in place – no migration, no duplication, no new pipelines

Learn more about Gaia and AI-ready data 

Cohesity Gaia is the AI-ready data platform that makes on-premises enterprise data accessible to AI agents and copilots – without moving it, duplicating it, or rebuilding permissions. 

Most enterprise AI tools are cloud-native. The data they need most – years of files, documents, and records sitting in on-prem backup environments – is effectively invisible to them.  

Gaia closes that gap. It indexes, vectorizes, and exposes governed enterprise data in place, so AI agents can search, retrieve, and reason over it through a secure semantic layer. 

Gaia runs on the Cohesity Data Cloud and is available as SaaS or fully self-managed on-prem – including fully air-gapped environments for organizations with strict data residency or regulatory requirements. 

Gaia sits on top of the data you already protect in the Cohesity Data Cloud and makes it queryable by AI — without any data movement or new ingestion pipelines. 

Here's how it works: 

  1. Index and vectorize in place. Gaia scans your protected on-prem data — file servers, NAS systems, backup snapshots — and generates semantic embeddings directly from that data without copying it to a new location. 
  2. Enforce permissions before retrieval. Every query inherits the file-level RBAC already set in your environment. Gaia enforces access controls before returning any result, so AI responses only surface data the requesting user is authorized to see. 
  3. Retrieve and rerank. When a user or AI agent submits a query, Gaia uses vector search and NVIDIA-accelerated reranking to surface the most relevant content across years of historical enterprise data — not just the most recent snapshot. 
  4. Return grounded, cited responses. Gaia generates responses with source citations, so users can trace every answer back to the original data. 

Gaia exposes this semantic layer through two integration paths: MCP (for turnkey connections to Microsoft Copilot, Google Gemini, and Glean (coming soon) in SaaS and hybrid self-managed deployments) and API (for custom agents and technical teams building bespoke integrations).  

In fully air-gapped environments, the Gaia UI serves as the primary AI interface. 

Traditional AI search tools require copying enterprise data into new platforms or cloud-based data lakes before it can be analyzed. Gaia activates immutable, time-series backup data directly from the Cohesity Data Cloud — without duplicating it. Gaia preserves governance, RBAC, and auditability while enabling AI systems to reason over trusted enterprise history. 

No. Gaia can run as SaaS or fully self-managed on-prem – including fully air-gapped deployments with no cloud connectivity. Organizations can activate AI directly where their protected backup data resides, maintaining data residency and regulatory compliance requirements. 

Yes. In Gaia SaaS and hybrid self-managed deployments, Gaia integrates with enterprise AI platforms including Microsoft Copilot, Google Gemini, and Glean (coming soon) – injecting governed permission-aware historical context into agentic workflows without requiring users to change tools or retrain teams. 

In fully air-gapped deployments, the Gaia UI serves as the primary AI interface. 

Retrieval augmented generation (RAG) AI is a technique that grounds AI responses in specific source data rather than relying solely on a model’s training. Instead of hallucinating answers, a RAG system retrieves relevant context first, then generates a response grounded in that content.

Gaia applies RAG directly to your protected on-prem enterprise data – using semantic search, vector indexing, and NVIDIA-accelerated reranking to retrieve the most relevant historical content before generating a response. This means AI answers are grounded in your actual enterprise data, with source citations and inherited permissions preserved.

Gaia lets AI agents and copilots search, retrieve, and summarize enterprise data stored on-premises – without moving or duplicating it. Common use cases include knowledge worker productivity, compliance research on historical enterprise data, and grounding AI assistants like Microsoft Copilot in governed enterprise data they otherwise can’t reach. 

AI-ready data is enterprise data that has been indexed, vectorized, and structured so AI agents can query and reason over it – with permissions, governance, and source citations intact. Gaia makes your existing on-prem data AI-ready in place, so you bypass the extra data pipelines, migrations, and duplication that most AI projects require.

Sovereign AI means running AI workloads entirely within your own infrastructure — your hardware, your data, your control — with no dependency on external cloud providers or internet connectivity.

Gaia supports fully air-gapped sovereign AI deployments for organizations that require absolute data isolation, such as defense, federal intelligence, and classified environments. For regulated enterprises in healthcare, financial services, and public sector that want on-prem data governance without full air-gap, Gaia also supports hybrid self-managed deployments — where data stays on-prem but connects to cloud-based AI tools via MCP. 

Resources

Solution Brief
Solution Brief
Cohesity Gaia self-managed on Cisco UCS
Read the solution brief
Solution Brief
Solution Brief
Cohesity Gaia self-managed on HPE ProLiant
Read the solution brief
Solution Brief
Solution Brief
The Platform for AI-Ready Data
Read the solution brief

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