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    Nasuni AI Activate - Enterprise File Data for AI via MCP

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    Sold by: Nasuni 
    Deployed on AWS
    Nasuni AI Activate gives AI agents governed access to enterprise file data at petabyte scale, enforcing NTFS permissions at query time. No data copies or custom pipelines required.

    Overview

    Nasuni AI Activate - Governed AI Access to Enterprise File Data

    Give AI the access, context, and security to do real work - safely. Nasuni AI Activate combines the Nasuni Platform's governed file infrastructure with a hosted MCP server and continuously updated index, enabling enterprise teams to put their unstructured file data to work without building new AI infrastructure.

    The Problem: Enterprise File Data Is AI's Biggest Blind Spot

    More than 90% of organizational data is unstructured - documents, contracts, specifications, records, and files distributed across enterprise environments. AI agents, LLMs, and copilots cannot reach it efficiently or safely without purpose-built infrastructure.

    Building that infrastructure from scratch requires a vector database, a custom indexing pipeline, an access control enforcement layer, and an MCP gateway - along with ongoing maintenance as permissions and file estates evolve. Nasuni analysis estimates this costs $400,000-$600,000 in development costs. Meanwhile, 43% of enterprises cite data security as the number one barrier to scaling AI, and only 31% centrally enforce data access policies for AI agents.

    How AI Activate Works

    1. The Nasuni Platform provides the governed file foundation. Enterprise file data is unified across distributed locations - on-premises, cloud, and edge - in a single, governed, permission-aware namespace.

    2. AI Activate continuously indexes the enterprise file estate. A hosted indexing service processes file content and metadata at petabyte scale across all configured volumes. No separate vector database or custom indexing pipeline required.

    3. A hosted MCP server provides the secure AI gateway. AI agents and applications connect via standard MCP. Every query is checked against file-level NTFS permissions before any result is returned.

    4. AI applications receive governed, current results. Claude, ChatGPT, Microsoft 365 Copilot, and any MCP-compatible AI app retrieve permission-scoped results that reflect the live state of the enterprise file estate.

    Key Capabilities

    • Permission enforcement at the identity layer: Pre-query enforcement uses file-level NTFS permissions. No privileged service accounts. No permission drift. Permission changes propagate to AI query results in near real time.

    • No separate infrastructure to build or maintain: Includes a fully hosted MCP server and indexing service. Nasuni analysis estimates $400,000-$600,000 in avoided development costs versus an internally built equivalent.

    • Petabyte-scale indexing: Continuously indexes Microsoft Office (Word, Excel, PowerPoint), searchable PDFs including OCR-processed scanned documents, email, HTML, text, source code, and more across distributed, multi-site, and multi-cloud environments.

    • SOC 2 Type II certified infrastructure: Enterprise security and compliance reviews have a documented, auditable security posture to evaluate.

    • Live file access when indexed context is insufficient: The MCP server enables AI agents to retrieve full file contents directly from object storage - live, not from a snapshot.

    • MCP-native, AI-agnostic: Works with Claude, ChatGPT, Microsoft 365 Copilot, and any MCP-compatible AI application. No vendor lock-in.

    Enterprise Use Cases

    Architecture, Engineering and Construction: Surface submittals, RFI responses, and project specs across active and archived jobs. Identify scope conflicts between mechanical and structural submittals before they become claims. Draft RFI responses from current project specs and comparable prior-project archives.

    Manufacturing: Find maintenance procedures and safety requirements instantly. Analyze failure patterns across warranty claims to identify supplier issues. Build corrective action reports from NCR history and supplier correspondence.

    Financial Services: Retrieve due diligence documents and regulatory filings with permission-scoped access. Surface representation and warranty language across M&A transaction archives. Analyze covenant compliance documentation across active lending portfolios.

    Prerequisites and Requirements

    • Active Nasuni Platform deployment
    • File-level NTFS permissions configured across target volumes
    • Enterprise Active Directory integration (no new identity architecture required)
    • MCP-compatible AI application (Claude, ChatGPT, Microsoft 365 Copilot, or other)

    Getting Started

    Nasuni AI Activate is available via AWS Marketplace Private Offer. All purchases include custom EULA, contract terms, and onboarding support. Contact aws-marketplace@nasuni.com  to initiate a discovery call or request a guided demo.

    Why Nasuni

    Nasuni has earned a sixth consecutive NorthFace ScoreBoard Award for customer satisfaction and ranks top in 15 G2 categories.

    Highlights

    • Permission-first by design: File-level NTFS permissions are enforced at the identity layer before every AI query - no new access control policy to configure, no privileged service accounts. An AI agent can retrieve nothing through MCP that the authenticated user could not access in a standard file session. Permission changes propagate to AI query results in near real time. Covered under Nasuni's SOC 2 Type II certification.
    • Complete governed solution - no infrastructure to build: Combines the Nasuni Platform's unified file foundation with a hosted MCP server and continuously updated index. No data migration, no vector database to provision, no custom RAG architecture required. Nasuni analysis estimates $400,000-$600,000 in avoided development costs versus an internally built equivalent.
    • Petabyte-scale indexing with any MCP-compatible AI: Continuously indexes file content and metadata - including Office documents, searchable PDFs with OCR, email, and source code - across distributed, multi-site environments. Connects to Claude, ChatGPT, Microsoft 365 Copilot, and any MCP-compatible AI application. Recognized with a sixth consecutive NorthFace ScoreBoard Award and top rankings in 15 G2 categories.

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    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

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    Nasuni AI Activate Support

    Nasuni provides dedicated support for AI Activate customers covering product setup, configuration, troubleshooting, MCP integration assistance, and general inquiries about AI Activate functionality.

    Contact: aws-marketplace@nasuni.com 

    Support includes assistance with:

    • Initial onboarding and activation
    • MCP server connectivity and AI application integration
    • Permission configuration and Active Directory integration
    • Indexing configuration across Nasuni volumes
    • Troubleshooting query results and file access issues
    • Subscription management and refund requests

    Customer Satisfaction: Nasuni has earned a sixth consecutive NorthFace ScoreBoard Award and ranks top in 15 G2 categories for customer satisfaction and support excellence.

    For purchase inquiries, custom EULA terms, or to request a guided demo, contact aws-marketplace@nasuni.com .

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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