Recently, at the AI and Robotics-themed event held during the 2025 Shenzhen Global Investment Promotion Conference, AI startup DreamTech took the stage to unveil its latest innovation: the new-generation foundational model architecture, Neural4D-2.5.

This cutting-edge architecture leverages the power of "native 3D mapping and perception integration" technology. By harnessing ultra-long context understanding capabilities that can process millions of Tokens, it pushes the cognitive boundaries of AI models to new heights. The essence of this breakthrough lies in the simultaneous "growth" of geometric structures, texture colors, and physical properties within three-dimensional space during the model generation process. This approach eradicates long-standing issues, such as misaligned textures and visible seams, which have plagued traditional models, and achieves industrial-grade precision in AI-generated 3D models.

In addition to its precision, Neural4D-2.5 boasts significant cost reductions. Its training costs are a mere one-thirtieth of the industry average, while inference costs are slashed to one-twentieth. When it comes to overall performance, Neural4D-2.5 outshines its second-place competitor by a substantial 30%. Moreover, its success rate in generating complex scenes has skyrocketed by 200% compared to its predecessor.

The architecture also features optimized geometric algorithms. These algorithms empower the generated models to be directly utilized for 3D printing and CNC engraving, eliminating the need for time-consuming manual repairs. Currently, Neural4D-2.5 has made its API available, with the cost of generating a high-precision 3D model as low as 1 yuan. This development is poised to propel 3D creation into a new era of large-scale industrial application.