Your website says, and I quote directly:
What you can do
Six tools, built around one job: making 3D models. You don’t call them — you just ask.
From a prompt
Describe an object and get back a textured 3D model — no reference image needed.
Connect the UnrealizeX MCP server to Claude, ChatGPT, or your terminal. Describe an object, sketch it, or hand over a photo — get back a textured 3D model without leaving the conversation.
This is what would broadly be understood as “text to model”, where a piece of text is converted by an algorithm into a 3D model. In order for this conversion to take place, the intent of the text must be parsed and converted to vertex data and colored pixels as texture on that vertex data. There is no algorithmic connection between the word “cube” and the following .OBJ data:
# Blender 4.4.3 Goo Engine
# www.blender.org
o Cube
v -1.000000 -1.000000 1.000000
v -1.000000 1.000000 1.000000
v -1.000000 -1.000000 -1.000000
v -1.000000 1.000000 -1.000000
v 1.000000 -1.000000 1.000000
v 1.000000 1.000000 1.000000
v 1.000000 -1.000000 -1.000000
v 1.000000 1.000000 -1.000000
vn -1.0000 -0.0000 -0.0000
vn -0.0000 -0.0000 -1.0000
vn 1.0000 -0.0000 -0.0000
vn -0.0000 -0.0000 1.0000
vn -0.0000 -1.0000 -0.0000
vn -0.0000 1.0000 -0.0000
vt 0.375000 0.000000
vt 0.625000 0.000000
vt 0.625000 0.250000
vt 0.375000 0.250000
vt 0.625000 0.500000
vt 0.375000 0.500000
vt 0.625000 0.750000
vt 0.375000 0.750000
vt 0.625000 1.000000
vt 0.375000 1.000000
vt 0.125000 0.500000
vt 0.125000 0.750000
vt 0.875000 0.500000
vt 0.875000 0.750000
s 0
f 1/1/1 2/2/1 4/3/1 3/4/1
f 3/4/2 4/3/2 8/5/2 7/6/2
f 7/6/3 8/5/3 6/7/3 5/8/3
f 5/8/4 6/7/4 2/9/4 1/10/4
f 3/11/5 7/6/5 5/8/5 1/12/5
f 8/5/6 4/13/6 2/14/6 6/7/6
The translation between human language and numerical matrices is done by neural networks. In common parlance, neural networks with a human language interface are referred to as LLMs, or more generally, as generative AI.
There are two possibilities here.
One- you’ve discovered an algorithm that can interface human language with spatial data matrices without using LLMs, in which case, you’ve just solved the entire economic problem facing the AI industry- a multi-trillion dollar problem, at the very least.
If that’s the case, why would you waste this Earth-shattering discovery on a paltry subscription service when you would be the richest man in the world overnight if you sold it to any of the large tech companies? And how have you made such a discovery when teams of tens of thousands of researchers have failed, after burning billions of dollars, to do so?
Two- you’re using LLMs and you’re attempting to obscure that fact. However, you’ve clearly stated that, and I quote: “I still gotta show why we’re NOT generative AI!” followed immediately by “… our lack of generative AI”, and, most clearly- “Our process doesn’t use generative AI”. So, how do you answer the questions posed above since this option is not possible per your statements?
To restate those questions in one clear query:
- How have you solved the human-language to spatial data matrix challenge without using LLMs when teams of tens of thousands of the technology field’s greatest researchers have failed, after burning billions of dollars, and working on the problem for decades, to do so?