# 光轮智能 / 为物理AI构建可被看见的基础设施

- ID: 434
- URL: https://www.stoyard.com/works/434
- English URL: https://www.stoyard.com/en/works/434
- Year: 2026
- Cover: https://static.glabcms.stoyard.com/stoyard/project/cover/20260713/ppk1bv1gly.png
- Categories: 平面设计服务, 标志设计, 字体设计, 视觉规范(VI)手册, AI 人工智能
- English Categories: Communication Materials Design, Logotype, Wordmark, VI Manual, AI Artificial Intelligence
- Author: 葛熙呈
- English Author: Xicheng Ge
- Publish: 2026-03-10
- Editor: STOYARD BEIJING

## 中文主体

### 项目简介

光轮智能是全球领先的物理AI数据与评测基础设施企业。公司以全栈自研的仿真技术为核心,打通人类行为数据、仿真合成数据、模型评测与真实部署,构建机器人持续学习的完整闭环。成立三年内,光轮智能已累计交付超过150万小时高质量数据,服务全球头部具身智能与世界模型团队,并成为下一代物理AI行业标准的重要共建者。

作为物理AI基础设施领域的领先企业,光轮智能需要一套与其技术实力和发展速度相匹配的全新企业形象。我们从“构建物理AI基础设施”的核心价值出发,为其建立更具识别度、科技感与国际化表达的视觉系统。

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/y3mi92pzl9q.png)

构建逻辑

结构源自物理世界的数字映射
标志以三维空间为基础语境,将物理世界的数字化过程抽象为分层结构。底层代表 AI 物理底座,中层构建世界与行为模型,上层形成评测与反馈闭环。

层级即系统能力
三层结构并非装饰堆叠,而是能力递进关系的可视化表达。自下而上,由承载到建模,由行为到评测,形成完整的系统逻辑。

结构生成识别
核心识别形态由层级转折与负形空间自然生成,而非符号叠加。识别来自结构关系本身,体现光轮智能的工程理性与平台属性。

严谨制图
标志基于统一结构单位与轴向关系构建,确保比例、角度与间距的高度一致,体现企业在物理 AI 领域的精度标准与系统化能力。

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260723/j13g0xf7gp.mp4)

本标志设计以光轮智能物理 AI 仿真基础设施的核心定位为原点,通过三维空间结构与分层逻辑,构建了一个兼具工程理性、平台属性与科技辨识度的视觉符号:

标识以分层结构呈现物理 AI 的系统能力。底层代表 AI 物理底座,中层构建世界与行为模型,上层形成评测与反馈闭环。三层并非简单堆叠,而是从承载、建模到评测的能力递进,体现光轮智能作为基础设施平台的系统性。

虚实映射: 图形以三维空间为基础语境,将物理世界的数字化过程转化为可视化结构。层级转折与空间关系,象征从真实世界到仿真环境的映射过程,呼应品牌以仿真连接物理现实与AI计算的技术路径。

负形生成: 核心识别由层级转折与负形空间自然生成,避免单纯符号叠加,使标识在理性结构中保留呼吸感与识别记忆点。正负形之间的关系,也暗示物理世界与数字模型之间的相互校准。

闭环进化: 标识整体呈现向上生长与循环反馈的趋势,呼应求解-测量-生成的技术逻辑。它既表达基础设施的稳定承载,也传递物理AI在不断训练、验证与生成中持续进化的品牌想象。

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/ecckfpofd87.mp4)

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260723/v4pmwl47xb.mp4)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/amxpfledf7b.png)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/ux50al4etig.jpg)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/md0qfti4xjn.png)

光轮智能的品牌色彩体系以深空蓝紫为核心视觉语言,构建理性、稳定且具有未来感的科技表达。

主色光蓝承载品牌的核心识别力,象征能量与计算驱动;文紫用于强化层级与结构表达,增强视觉深度与专业气质;夜黑作为基础对比色,确保在高信息密度环境中的识别稳定性。

极白与雾银构成功能性色阶系统,用于背景、信息分层与界面构建,提升整体视觉的克制感与现代感。色彩系统在不同媒介环境下应保持对比度与层级清晰度,确保品牌识别的持续稳定。

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260722/j3xl9ytw54.mp4)

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260721/ypvcty8xiv.mp4)

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260723/cb8z435566.mp4)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/k104co7piqo.jpg)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/6hwpsm0w0hx.jpg)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/26t2173pbru.png)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/xchgzey5ybh.png)

全新的品牌形象将复杂的技术能力转化为清晰、统一且易于感知的视觉语言,帮助光轮智能在客户沟通、人才吸引、融资合作与全球市场拓展中建立更鲜明的行业认知,也让品牌成为其持续发展的重要助力。

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260723/lvbme78lkg.mp4)

光轮智能已累计交付超过150万小时高质量人类行为数据内容、覆盖25,000多个环境节点和100,000种任务、2026年一季度新增订单5.5亿元、参与国内外20多项相关行业标准建设。

光轮智能目前已跻身20亿美元的物理AI基础设施独角兽企业。截至2026年6月,光轮智能在2026年内已公开完成3轮合计30亿元人民币融资:

## English Content

### Introduction

Guanglun Intelligence is a globally leading provider of physical AI data and evaluation infrastructure. Leveraging its independently developed, full-stack simulation technology as its core, the company seamlessly integrates human‑behavior data, synthetic simulation data, model evaluation, and real‑world deployment, thereby establishing a complete closed loop for continuous robot learning. Within three years of its establishment, Guanglun Intelligence has cumulatively delivered over 1.5 million hours of high-quality data, serving leading global embodied intelligence and world-modeling teams, and has become a key co-builder of industry standards for the next-generation physical AI.

As a leading company in the field of physical AI infrastructure, Light Wheel Intelligence needs a new corporate image that matches its technical strength and development speed. Starting from the core value of "building physical AI infrastructure", we build a visual system with more recognition, sense of science and technology and international expression.

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/y3mi92pzl9q.png)

Building Logic

The digital mapping logo of the structure derived from the physical world abstracts the digital process of the physical world into a hierarchical structure based on three-dimensional space. The bottom layer represents the AI physical base, the middle layer builds the world and behavior model, and the upper layer forms a closed loop of evaluation and feedback.

The three-layer structure is not a decorative stack, but a visual expression of the progressive relationship between capabilities. From bottom to top, from bearing to modeling, from behavior to evaluation, a complete system logic is formed.

Structure-generated recognition The core recognition morphology is naturally generated by hierarchical transitions and negative spaces, rather than symbolic superposition. The identification comes from the structural relationship itself, reflecting the engineering rationality and platform attributes of light wheel intelligence.

The rigorous cartography mark is based on a unified structural unit and axial relationship, ensuring that the proportions, angles and spacing are highly consistent, reflecting the enterprise's precision standards and systematization capabilities in the field of physical AI.

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260723/j13g0xf7gp.mp4)

This logo design takes the core positioning of the light wheel intelligent physical AI simulation infrastructure as the origin, and constructs a visual symbol with engineering rationality, platform attributes and scientific and technological identification through three-dimensional spatial structure and hierarchical logic:

Identifies the system's ability to present physical AI in a hierarchical structure. The bottom layer represents the AI physical foundation, the middle layer builds world and behavior models, and the top layer forms an evaluation and feedback loop. The three layers are not simply stacked, but progressive from carrying, modeling to evaluation capabilities, reflecting the systematicness of light wheel intelligence as an infrastructure platform.

Virtual-real mapping: graphics are based on three-dimensional space, transforming the digital process of the physical world into a visual structure. The hierarchical transition and spatial relationship symbolize the mapping process from the real world to the simulation environment, echoing the brand's technological path of connecting physical reality and AI computing with simulation.

Negative shape generation: the core recognition is naturally generated by the hierarchical transition and negative shape space, avoiding the superposition of simple symbols, so that the logo retains the sense of breathing and recognition memory in the rational structure. The relationship between positive and negative forms also implies a mutual calibration between the physical world and the digital model.

Closed-loop evolution: The overall trend of upward growth and circular feedback is identified, echoing the technical logic of solution-measurement-generation. It not only expresses the stable bearing of infrastructure, but also conveys the brand imagination of continuous evolution of physical AI in continuous training, verification and generation.

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/ecckfpofd87.mp4)

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260723/v4pmwl47xb.mp4)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/amxpfledf7b.png)

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The brand color system of light wheel intelligence takes deep space blue and purple as the core visual language, and constructs a rational, stable and futuristic scientific and technological expression.

The main color light blue carries the core recognition power of the brand, symbolizing energy and calculation drive; Wen Zi is used to strengthen the expression of hierarchy and structure, enhance visual depth and professional temperament; night black is used as the basic contrast color to ensure recognition stability in a high information density environment.

Extremely white and foggy silver form a functional color scale system for background, information layering and interface construction to enhance the overall visual sense of restraint and modernity. The color system should maintain contrast and hierarchical clarity in different media environments to ensure the continued stability of brand recognition.

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260722/j3xl9ytw54.mp4)

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260721/ypvcty8xiv.mp4)

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260723/cb8z435566.mp4)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/7w54tiqecac.jpg)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/k104co7piqo.jpg)

![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/6hwpsm0w0hx.jpg)

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![](https://static.glabcms.stoyard.com/stoyard/gallery/20260713/xchgzey5ybh.png)

As a leading company in the field of physical AI infrastructure, Guanglun Intelligence needs a brand image that matches its technological prowess and pace of development. Guided by our core value of “bridging the physical and digital worlds,” we have developed a visual system that is more distinctive, technologically advanced, and globally resonant.

The new brand image transforms complex technical capabilities into a clear, unified and easy-to-perceive visual language, helping Light Wheel Intelligence to establish a more distinct industry awareness in customer communication, talent attraction, financing cooperation and global market expansion, and making the brand an important boost to its sustainable development.

[Video](https://static.glabcms.stoyard.com/stoyard/gallery/20260723/lvbme78lkg.mp4)

Light Wheel Intelligence has delivered more than 1.5 million hours of high-quality human behavior data, covered more than 25,000 environmental nodes and 100,000 tasks, added orders of 0.55 billion yuan in the first quarter of 2026, and participated in the construction of more than 20 relevant industry standards at home and abroad.

Light Wheel Intelligence has now become a $2 billion physical AI infrastructure unicorn. As of June 2026, Light Wheel Intelligence has publicly completed three rounds of financing totaling RMB 3 billion in 2026: