Merlin by Encord: Manage Your AI Data Infrastructure in a Single Conversation
Encord launches Merlin, an agentic intelligence layer for its multimodal data platform, enabling users to manage AI data infrastructure through conversational interfaces. It supports building projects from prompts, on-demand metrics and coverage gap analysis, and issue fixing. Currently in beta via MCP on Claude, Codex, and other agentic coding platforms, with Slack integration coming soon.
Merlin by Encord: Manage your AI data infrastructure in a single conversation | Product Hunt
Merlin by Encord
Launching today
Manage your AI data infrastructure in a single conversation
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Manage your AI data infrastructure in a single conversation
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AI Infrastructure Tools
Merlin is the agentic intelligence layer for Encord. Set up a project from a prompt, get the metrics and coverage gaps that matter on demand, and fix the issues holding your model back. This release lets you manage your AI data infrastructure in a single conversation, from the tools you already work in. Now in beta via MCP, in Claude, Codex and all other agentic coding platforms – with Slack and more coming soon.
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Hey Product Hunt 👋
We're the team behind Encord, the multimodal data platform for the leading physical AI and enterprise teams. Today we're introducing Merlin, the agentic intelligence layer for Encord that works with you, wherever you work — helping you build, observe and optimize your AI data infrastructure in a single conversation. Now in beta via MCP, in Claude, Codex and all other agentic coding platforms – with Slack and more coming soon.
Software is changing faster than ever. Interfaces are becoming more conversational and intent-driven, and iteration cycles are getting rapidly shorter. Merlin is how we're making sure AI teams building on Encord keep pace with this evolution — with agentic capabilities that extend the Encord experience to the tools you already live in.
Here's what you can do with Merlin:
- Build — go from a document or a prompt to a fully configured project designed for your use case.
- Observe — see the metrics and coverage gaps that matter, and get a clear read on the state of your data on demand.
- Optimize — find the issues holding your model back, and jump back into Encord to fix the data and workflows behind them.
Merlin is launching in Beta. We're opening early access to a small group of customers to build Merlin alongside us and shape where it goes. Early access to Merlin via MCP is live now, with more integrations coming soon.
We’d love to hear from anyone working with AI data at scale — what would you actually want an agent to do with your data stack? Tell us in the comments.
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21h ago