Masset

Masset is an enterprise-grade digital asset management (DAM) platform engineered to eliminate content chaos by providing a single, searchable repository for all business content, including decks, one-pagers, images, videos, documents, and more. The platform is architected with a native Model Context Protocol (MCP) server, enabling direct integration with major AI tools such as ChatGPT, Claude, Copilot, and Cursor. This technical architecture ensures that when AI tools generate content, they pull from Masset's approved library rather than relying on generic training data or internet searches. The system supports unlimited users with no per-seat licensing, operates on a month-to-month subscription model, and maintains SOC 2 compliance. Crucially, Masset explicitly does not train AI models on customer data, addressing enterprise data privacy and security requirements. The platform is designed for cross-functional teams including marketing, sales, enablement, partner operations, and corporate operations, providing a unified content infrastructure that enforces brand consistency, version control, and real-time updates across all distribution channels. Masset's core value proposition centers on eliminating the inefficiencies of distributed content storage across shared drives, Slack threads, email attachments, and personal desktops, replacing guesswork with deterministic content retrieval through natural-language search and AI assistant integration.

Unified Library with Natural-Language Search

Masset provides a centralized repository that indexes all approved business assets with full metadata tagging and version history. The natural-language search engine allows users to find any asset by describing it conversationally, eliminating the need for exact file names or folder navigation. Search results are filtered by approval status, version number, file type, and custom tags, ensuring users always retrieve the correct current version. The library supports all common file formats including PPTX, PDF, DOCX, XLSX, MP4, and image formats, with automatic thumbnail generation and preview capabilities.

MCP Server for AI Tool Integration

Masset implements the Model Context Protocol (MCP), an open standard that enables bidirectional communication between the DAM and AI tools. When an AI tool like Claude, ChatGPT, Copilot, or Cursor needs to reference company content, it queries Masset's MCP server which returns only approved, current assets based on the user's permissions. This architecture ensures AI-generated content cites real company materials rather than producing generic or hallucinated output. The MCP server supports read and write operations, allowing AI tools to both retrieve content and update assets with proper version control.

Myca AI Assistant for Slack and Teams

Myca is a dedicated AI assistant that operates natively within Slack and Microsoft Teams, providing instant access to the Masset library without requiring users to leave their messaging platform. Users can query Myca using natural language commands such as "latest pricing deck" or "Q3 battle card," and Myca returns the current approved version with metadata including last update timestamp and approval status. Myca maintains conversation context, supports multi-file retrieval, and can push content directly into CRM systems like HubSpot and Salesforce with full tracking and analytics.

Boards, Trackable Shares, and CRM Writeback

Masset Boards allow users to curate collections of assets for specific campaigns, personas, or sales plays, with automatic version synchronization across all boards. Every share generates a trackable link that records view counts, download events, and time spent per asset. The CRM writeback feature automatically logs these interactions into Salesforce, HubSpot, or other CRM platforms, associating content engagement with specific contacts and opportunities. This provides granular analytics on which assets drive pipeline velocity and deal progression.

Sales Enablement and Deal Acceleration

Sales teams use Masset to eliminate the "latest version" problem during prospect meetings. When a sales representative needs the current pricing deck, case study, or competitive battle card, they query Myca in Slack and receive the approved version within seconds. Trackable shares allow sales leaders to monitor which assets prospects actually engage with, and CRM writeback automatically logs these interactions to opportunity records. This reduces sales cycle time by ensuring every prospect interaction uses current, compliant materials.

Marketing Content Operations and Brand Governance

Marketing teams leverage Masset as the single source of truth for all campaign assets, from one-pagers and whitepapers to video recordings and social graphics. Version control ensures that when a pricing update occurs, updating the source file automatically refreshes all boards, shared links, and AI-generated drafts referencing that asset. Natural-language search enables new team members to find any historical asset without navigating complex folder structures. The platform enforces brand consistency by only surfacing approved content to both human users and AI tools.

Partner and Channel Enablement

Partner organizations often operate with outdated materials because distribution is fragmented. Masset provides partners with controlled access to a curated library of approved assets, with automatic version updates pushed to all partner boards and shared links. Partners can use trackable shares when presenting to end customers, giving the parent organization visibility into partner content usage and deal progression. The MCP server integration allows partner-facing AI tools to generate proposals and presentations using only the approved partner materials.

AI Content Generation and Knowledge Management

Organizations deploying AI assistants for internal knowledge management or external content generation use Masset to ground AI outputs in verified company data. When an employee asks an AI assistant to draft a proposal, create a customer presentation, or answer a technical question, the AI queries Masset's MCP server to retrieve relevant approved documents. This prevents AI hallucination and ensures all generated content cites current, authoritative sources. The system supports multiple AI tool integrations simultaneously, providing a unified content layer across the entire AI ecosystem.

Masset operates on a month-to-month subscription model with unlimited seats. There are no per-user licensing costs, meaning organizations can add as many internal users, partners, and contractors as needed without incremental fees. The platform maintains SOC 2 compliance and does not train AI models on customer data. Specific pricing tiers and plan details are available upon request through the Masset website's pricing page.

How does Masset ensure AI tools only use approved content?

Masset implements the Model Context Protocol (MCP), which provides a standardized interface between the DAM and AI tools. When an AI tool requests content, it sends a query to Masset's MCP server, which returns only assets that have been explicitly approved and are the current version. The server enforces user-specific permissions, so each AI tool only accesses content the requesting user is authorized to view. Masset does not expose any unapproved or draft content to AI tools, and the platform's architecture prevents AI models from training on customer data.

What integrations does Masset support beyond AI tools?

Masset integrates natively with Slack and Microsoft Teams through the Myca AI assistant, with Salesforce and HubSpot for CRM writeback, and with Google Drive, SharePoint, and other cloud storage providers for content ingestion. The MCP server supports integration with any AI tool that implements the MCP standard, including Claude, ChatGPT, Copilot, and Cursor. The platform also provides REST APIs for custom integrations with other enterprise systems, enabling automated content workflows and custom analytics dashboards.

Is my data used to train AI models?

No. Masset explicitly does not train any AI models on customer data. The platform's architecture ensures that all content stored in the library remains confidential and is only used for retrieval and distribution purposes. Masset does not share customer content with third-party AI model providers, and the MCP server operates as a read-only interface that does not contribute to model training. This policy is contractually guaranteed and audited as part of the SOC 2 compliance certification.

How does version control work across all distribution channels?

When an asset is updated in Masset, the change propagates automatically to every location that references that asset. This includes all Boards containing the asset, all previously shared trackable links, all Myca responses in Slack and Teams, and all AI tool integrations via the MCP server. The system maintains a complete version history, allowing users to view previous versions and restore them if needed. Each version is timestamped and tagged with the user who made the update, providing full auditability for compliance purposes.