Masset

Masset is an AI-powered digital asset management (DAM) platform designed to serve as the single, unified home for all of a company's business content. It solves the pervasive problem of content chaos, where critical assets like sales decks, case studies, brand guidelines, videos, and one-pagers are scattered across shared drives, email attachments, Slack threads, and personal desktops. This fragmentation forces teams to waste time searching for materials and often results in using outdated or incorrect versions, which can damage brand consistency and sales effectiveness. Masset centralizes every asset into one searchable library, ensuring the entire team always has access to the most current, approved versions. The platform's core differentiator is its native integration with the AI ecosystem. It connects directly into the AI tools teams already use, such as ChatGPT, Claude, Copilot, and Cursor, through a standard protocol called MCP (Model Context Protocol). This allows these AI tools to pull content directly from the approved library, ensuring that AI-generated drafts, summaries, and responses are grounded in the company's actual, verified materials rather than generic guesses. Masset is built for cross-functional teams including marketing, sales, enablement, partners, and operations. It offers unlimited seats on a month-to-month basis, is SOC 2 compliant, and explicitly states it never trains AI models on customer data, providing a secure and scalable solution for organizations of any size.

Unified Library with Natural Language Search

Masset provides a single, searchable home for every type of business asset, including presentations, PDFs, images, videos, and documents. Users can find any file in seconds using natural language search, simply describing what they need rather than remembering exact file names or folder structures. The library maintains version control, so the team always sees the most current file, and every asset is tagged for discoverability.

MCP Server for AI Tools

This is Masset's core differentiator. The platform includes an MCP (Model Context Protocol) server that acts as a bridge between the content library and popular AI tools like ChatGPT, Claude, Copilot, and Cursor. When a user asks an AI to draft a document or answer a question, the AI can retrieve and cite the exact, approved content from Masset instead of generating generic or hallucinated responses. This ensures story consistency and accuracy across all AI-generated outputs.

Myca: AI Assistant for Slack and Teams

Myca is Masset's built-in AI assistant that lives directly within Slack and Microsoft Teams. Team members can ask Myca for any asset, like the latest pricing deck or a specific case study, and receive the current, approved version instantly. This eliminates the need to dig through shared drives or message colleagues, dramatically reducing the time spent searching for content and ensuring everyone uses the correct materials.

Trackable Shares with CRM Writeback

Masset allows users to share any asset via a trackable link. The platform provides analytics on who viewed the content, when, and for how long. Crucially, this engagement data can be written back directly into CRM systems like HubSpot and Salesforce. This gives sales and marketing teams direct visibility into prospect interest and content effectiveness, enabling more informed follow-ups and strategic decision-making.

Sales Enablement and Deal Acceleration

Sales teams can use Masset to instantly find and share the most current sales decks, battle cards, case studies, and ROI one-pagers with prospects. Instead of hunting for files or using outdated materials, a sales rep can ask Myca in Slack for the latest pricing overview and share a trackable link in seconds. The CRM writeback feature then logs the prospect's engagement, providing valuable insight into what content is resonating and helping to prioritize follow-up activities.

Marketing Content Distribution and Governance

Marketing teams can centralize all brand assets, campaign materials, and content templates in one library. This ensures that every piece of content is the approved version and easily accessible by the entire organization, from sales to partners. When a one-pager or video is updated, Masset's version control ensures the change ripples across every board, shared link, and AI draft, preventing the distribution of outdated materials and maintaining brand consistency.

AI-Powered Content Creation and Drafting

Teams using generative AI tools like ChatGPT or Claude can leverage Masset's MCP server to ground their outputs in company-approved content. For example, a marketing manager can ask an AI to draft a one-pager about a new product feature. Instead of generating generic text, the AI pulls the latest product specs, brand voice guidelines, and competitive analysis from Masset, producing a draft that is accurate, on-brand, and cites real company materials.

Partner and Channel Enablement

Organizations can use Masset to provide a single source of truth for their partner ecosystem. Partners can access the latest product training videos, sales collateral, and co-branded materials directly from a shared library. Trackable shares allow the company to see which materials partners are using most effectively, and version control ensures partners are always presenting the most current information to their customers.

How does Masset ensure AI tools use the correct content?

Masset uses the MCP (Model Context Protocol) server, an open standard that allows AI tools to access real content. When a user asks an AI like ChatGPT or Claude to perform a task, the AI can query the Masset library through this protocol. It retrieves and cites the specific, approved files that are relevant to the request, ensuring the AI's output is based on the company's actual materials, not guesses.

Is my data secure, and does Masset use it to train AI models?

Masset is SOC 2 compliant and takes data security seriously. The platform explicitly states that it never trains AI models on customer data. Your content remains private and is only used within your organization's library. The MCP server allows AI tools to read your content for the purpose of generating responses, but that content is not used to train or improve external AI models.

How does version control work across the platform?

When a file is updated in Masset, the change propagates instantly across the entire ecosystem. Every trackable share link that points to the old version now serves the new one. Any board featuring the asset is updated. Any answer Myca provides in Slack or Teams will reference the latest file. And any AI draft generated through the MCP server will use the current version. This eliminates the "version chase" entirely.

How many users can I add, and what is the commitment?

Masset offers unlimited seats for all users. There are no per-user fees, which makes it cost-effective for organizations that want to provide access to everyone from marketing and sales to partners and operations. The platform is available on a month-to-month basis with no long-term contract required, providing flexibility for growing teams.