SwiftXR - Create interactive 3D, AR and VR experiences with AI

SwiftXR brings AI creation, product customisation and engagement analytics together for interactive 3D, AR and VR experiences. This release introduces SwiftXR Assistant: describe what you want, then refine lighting, camera angles, dimensions and colour options through conversation. Publish to your website or store so customers can explore products and preview them in their space. The update also brings improved analytics and Web MCP support. No coding required.

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Hi Product Hunt! I'm Hammed from SwiftXR. We're back with a major SwiftXR update that connects the whole journey: create an interactive product experience, customise it, publish it and understand how customers engage. The headline addition is SwiftXR Assistant. Start with your product and describe what you want to build. Then ask the Assistant to refine lighting, camera framing, dimensions or colour options, and review the changes before publishing. This release also brings improved engagement analytics and Web MCP support, alongside interactive product customisation and publishing for websites and online stores. For customers, the result is an experience they can explore in 3D and preview in their space with AR or interactively in VR. For creators and businesses, it's a simpler path from a product idea to a published experience, with visibility into views, engagement, and customer actions. We'd love your feedback: what would you build first, and where does your current product experience workflow get stuck?

 great to see built-in engagement tracking so we can actually see if customers use the AR view. congrats for launching🙌

How does the workflow scale if a store has hundreds of product SKUs to convert?

 Our Image-to-3D pipeline is task-based so that store owners can submit multiple products simultaneously at scale.

tracking exactly how customers rotate and explore the product is a brilliant analytics feature.

The Web MCP support is the detail that jumps out most to me here. We build an AI agent product ourselves, and giving an agent a structured way to actually query a 3D/AR scene - camera state, what the customer is looking at, which colour option is active - is a very different integration story than just embedding a viewer widget. Is the MCP surface read-only for analytics right now, or can an agent also drive the scene (change angle, swap material) through it?

 WebMCP is a real agent unlock; WebMCP has full control of the scene context and can visually change designs and configurations at will.

 That answers it, full write access rather than read-only analytics changes what I'd actually build with it. Being able to say "swap to the walnut finish and rotate 30 degrees" and have the agent execute that on the live scene instead of just describing it is a much bigger unlock than a chat widget bolted onto a viewer. Will be digging into the docs for this.

ai doing the 3d asset work is the unlock here, that was always the expensive peice 👏 any ecom brands seeing conversion lift yet?