Why I Built Land of Assets
After two decades building 3D infrastructure for Hollywood and enterprise, I kept watching companies solve the same painful problems from scratch. Here's what I saw — and why I built Land of Assets to fix it.
Ben Houston • 5 min read • February 3, 2026
Let me describe three conversations I've had dozens of times over the past decade.
The first is with a digital commerce manager at a furniture brand. They've just launched a new fabric colorway across thirty products. Marketing needed lifestyle shots. The configurator team needed updated swatches. The ecommerce platform needed refreshed SKU imagery for every affected product. Each team needed slightly different outputs, and none of them were talking to each other. By the time everything was updated, the seasonal campaign it was meant to support had already run.
The second is with an engineering manager at a manufacturer. Their CAD team updates product dimensions regularly. The 3D artists who build the web-ready models for the configurator are always a few revisions behind. Nobody knows exactly which version the configurator is currently showing. When a customer orders based on what they saw and the actual product is slightly different, the blame gets passed around.
The third is with a sales operations lead at a B2B equipment company. Every custom configuration requires a salesperson to validate it with engineering, manually build a bill of materials, and quote it by hand. Their best reps spend half their time on paperwork for orders that should be self-serve. They know the throughput problem is real. They don't have a good answer for it.
These aren't edge cases. They're the normal operating condition for companies selling complex, configurable products with serious 3D visualization needs.
Why I was the right person to notice
I've spent twenty years in 3D infrastructure — co-founding Frantic Films Software (Deadline, Krakatoa), contributing to Three.js and the Khronos glTF standard, founding Clara.io, and building enterprise visualization tooling at Threekit. The companies I worked with ranged from Hollywood VFX studios to Fortune 500 retailers.
At every scale, the same foundational problem kept appearing: there was no authoritative place for 3D product content to live. Not in a way that worked for the full lifecycle.
Models lived in scattered folders, in artists' local drives, in S3 buckets with no structure. Configurators were built on top of manually exported, manually versioned, manually maintained asset libraries. When engineering updated a CAD model, someone — usually a technical artist, sometimes me — had to manually re-export, re-optimize, re-upload, and re-test every downstream experience that depended on it.
The bigger the organization, the worse the problem. The companies that could afford to solve it built expensive custom internal tooling. Everyone else improvised.
The gap nobody filled
The tools that existed were built for adjacent problems, not this one.
General-purpose DAMs understand images and video. They have no concept of format conversion, no idea what a PBR material is, no ability to serve geometry to a WebGL renderer. They store files. That's about it.
CDNs deliver files fast. They don't understand 3D. Serving an unoptimized GLB at full resolution to a mobile user is technically "delivery" — just not useful delivery.
Configurator platforms solve the experience layer. But they require you to bring your assets already prepared, already optimized, already in their format. They are not asset management systems. They are experience systems built on top of an asset management problem they punt back to you.
AI image generation platforms produce impressive output. But without accurate 3D geometry and PBR materials as the reference layer, the results look like a sofa — not your sofa. The output is only as good as what you feed in.
What I built
Land of Assets is the 3D content management platform that fills this gap.
It is the visual source of truth that every downstream experience draws from. Upload CAD files, Blender projects, or glTF models — the platform handles conversion, optimization, versioning, and global delivery automatically. Your configurators, AI image pipelines, and marketing experiences all pull from the same managed source.
When engineering updates a model, everything downstream reflects it. When a material changes, every experience using that material is current. When a new colorway launches, the AI image pipeline generates every combination automatically — no photo shoot scheduled, no studio booked.
The platform also connects the configuration session to the commercial outcome. An AI sales agent embedded in the configurator guides complex sessions toward a quote or order. The session output flows directly into the ecommerce platform or the sales team's pipeline — with a bill of materials, engineering drawings, and structured order data attached. Standard custom orders close without a salesperson in the loop.
That's the furniture team's photo shoot problem solved. That's the manufacturer's CAD version drift problem solved. That's the sales ops team's quoting bottleneck reduced to the deals that actually need human attention.
Why now
Two things have changed that make this the right moment.
The first is generative AI. AI has compressed 3D content creation from months to days — generating production-ready models and materials from product photography, CAD files, and specification sheets. The cold start problem that made comprehensive product visualization economically impossible for most catalogs is largely solved. The demand for 3D product content is accelerating precisely because the cost of creating it has dropped.
The second is the maturation of open standards. glTF has become the universal web 3D format. Blender has become the dominant open-source 3D creation tool. FreeCAD is maturing as an open-source parametric CAD platform. The ecosystem that Land of Assets is built on is more stable, more open, and more widely adopted than it has ever been.
Companies that establish a proper 3D content management foundation now — a visual source of truth that their configurators, AI pipelines, and commerce platforms all draw from — will compound that investment over years. The ones that keep improvising will keep paying the coordination overhead I've watched slow teams down for two decades.
Land of Assets is built for the teams who are ready to stop improvising.
This post is also available on Ben Houston's blog.