Zuperix is the digital asset platform built for the AI era. Organize, search, version, and share images, videos, documents, and brand assets from a single source of truth. With AI-powered search, metadata management, integrations, and MCP support, both teams and AI agents can instantly discover, retrieve, and use the right assets. Turn scattered files into an AI-ready knowledge layer for your organization.
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Maker
📌
Hey Product Hunt 👋
We're excited to launch Zuperix today.
What inspired us to build it was a simple observation: AI has made content creation almost unlimited, but managing that content is still stuck in the past.
Teams now generate thousands of images, videos, documents, screenshots, and marketing assets across dozens of tools. Finding the right file often means digging through shared drives, folders, chats, and cloud storage. The more content you create, the harder it becomes to keep everything organized.
We believe digital assets should be accessible not only to people, but also to AI.
That's why we built Zuperix: a modern asset platform with AI-powered search, version control, integrations, and MCP support, allowing both teams and AI agents to discover and work with assets from a single source of truth.
Over the past months, we've spoken with marketers, designers, agencies, and content teams who all shared the same frustration: too many files, too many versions, and too much time wasted searching.
Zuperix is our attempt to solve that problem.
We're still early, and we'd love your feedback. What workflows are you using today to manage digital assets? What would you want an AI-ready asset platform to do for your team?
We'll be around all day answering questions and learning from your feedback.
Thank you for checking us out ❤️
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The AI search part looks promising but it'd be really useful to have a way to flag or tag assets that shouldn't be used by AI agents yet, like draft or unreleased images, so they stay hidden from MCP requests.
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Maker
@rzgarxblz Thanks for the feedback, we'll surely implement this thing in near feature.
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The MCP angle is genuinely useful, but it would be great to see granular permission controls so external AI agents can only access assets explicitly shared with them rather than the whole library by default.
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Maker
@arife364310 Thanks for the feedback, we'll surely implement this thing.
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honestly the MCP support sounds super useful, but one thing that would really seal the deal for me is a bulk auto-tagging feature that actually learns from how your team renames and categorizes stuff over time. like right now you still have to babysit the metadata a bit, and if it could just quietly pick up on our patterns it would feel way more hands off
The AI search part looks promising but it'd be really useful to have a way to flag or tag assets that shouldn't be used by AI agents yet, like draft or unreleased images, so they stay hidden from MCP requests.
@rzgarxblz Thanks for the feedback, we'll surely implement this thing in near feature.
The MCP angle is genuinely useful, but it would be great to see granular permission controls so external AI agents can only access assets explicitly shared with them rather than the whole library by default.
@arife364310 Thanks for the feedback, we'll surely implement this thing.
honestly the MCP support sounds super useful, but one thing that would really seal the deal for me is a bulk auto-tagging feature that actually learns from how your team renames and categorizes stuff over time. like right now you still have to babysit the metadata a bit, and if it could just quietly pick up on our patterns it would feel way more hands off