清研精准 Physical AI
清研精准 · 物理AI基础设施，深度覆盖具身智能、新能源、汽车、低空经济、智能制造等多个行业领域 TSING STANDARD · PHYSICAL AI INFRASTRUCTURE — EMBODIED AI · NEW ENERGY · AUTOMOTIVE · LOW-ALTITUDE · SMART MANUFACTURING

一套底座，一个大脑， 百个垂类场景 One Infrastructure, One Brain, Hundred Vertical Scenarios

让 AI 理解工业物理规律。清华大学孵化×8年工业场景工程化积累，构建工业 AI 基础设施。 Making AI understand industrial physical laws. Incubated at Tsinghua University × 8 years of industrial-scenario engineering — building industrial AI infrastructure.

查看新能源数据底座View New Energy Data Foundation → 了解平台能力Platform Capabilities
数万个工业场景感知节点Tens of thousands of industrial sensing nodes 覆盖数千个垂类场景工位Covering thousands of vertical workstations 覆盖 100+ 大型制造业客户Covering 100+ large manufacturing clients 10+ 汽车、能源、AI、机械、材料产业巨头股东加持Backed by 10+ industry-giant shareholders
SCROLL
8年
AI 领域深耕Years in AI
PB级
真实节点数据Real-World Node Data
100+
大型制造业客户Large Manufacturing Clients
公司定位Company Positioning

不是本体，不是大脑，
是让 AI 落地工业的基础设施Not the body, not the brain —
the infrastructure that brings AI to industry

机器人本体公司解决"身体"，大模型公司解决"大脑"，清研精准解决"让 AI 理解工业物理规律"的核心问题：真实工业场景数据采集、工程化数据资产沉淀、跨本体技能复用。 Robot embodiment companies solve the "body." Foundation model companies solve the "brain." Tsing Standard solves the core challenge of making AI understand industrial physical laws: real-site data capture, engineered data asset accumulation, cross-embodiment skill reuse.

本体公司

解决"身体"Solves the "Body"

四足机器人、人形机器人、协作臂、移动底盘。提供运动能力与物理执行。Quadruped, humanoid, cobot arm, mobile base. Provides locomotion and physical execution.

EMBODIMENT LAYER
清研精准

解决"让 AI 理解物理世界"Solves "Making AI Understand Physics"

真实工业现场数据采集 → 工程化数据资产 → Cross-Embodiment 跨本体复用 → 工业认知系统。Real-site data capture → Engineered data assets → Cross-embodiment reuse → Industrial cognition system.

INFRASTRUCTURE LAYER ← 我们在这里
大模型公司

解决"大脑"Solves the "Brain"

VLA、多模态大模型、通用推理。提供语言理解与通用决策能力。VLA, multimodal foundation models, general reasoning. Provides language understanding and general decision-making.

FOUNDATION MODEL LAYER
核心信念Core Belief

工业 物理AI 的瓶颈不在算力，不在模型，而在真实工业现场的数据缺口。没有真实工位数据，世界模型只是仿真幻觉；有了工程化数据闭环，才能让模型从表面拟合走向物理规律学习，从单一场景走向跨工况泛化。 The bottleneck of industrial Physical AI is not compute, not models — it's the data gap in real industrial sites. Without real workstation data, world models are just simulation illusions. With engineered data loops, models move from surface fitting to physical law learning, from single scenarios to cross-condition generalization.

工业 AI 闭环Industrial AI Loop

从真实工位到工业认知系统的完整闭环From real workstations to industrial cognition system

底层架构 Edge × TestOps × Data Hub × AI Platform，贯通多模态采集、Cross-Embodiment 跨本体映射、数据资产层、仿真评测、工业认知系统和现场反馈。 Underlying architecture Edge × TestOps × Data Hub × AI Platform, connecting multimodal capture, cross-embodiment mapping, data asset layers, simulation-evaluation, industrial cognition system and on-site feedback.

01

数据采集与资产化Data Capture & Assetization

真实工位多模态数据采集，沉淀为可复用的工业数据资产。Multimodal data capture from real workstations, accumulated as reusable industrial data assets.

02

跨本体智能迁移Cross-Embodiment Transfer

Cross-Embodiment 架构让数据跨机型、跨场景持续复用。Cross-Embodiment architecture enables data reuse across robot platforms and scenarios.

03

工业认知系统闭环Industrial Cognition Loop

工业认知系统在真实场景中持续学习、验证、迭代。Industrial cognition system continuously learns, validates and iterates in real scenarios.

了解技术平台Learn more →
数据采集工具链Data Capture Toolchain
DEX-UMI 灵巧手数据采集系统
DEX-UMI

灵巧手数据采集Dexterous-Hand Capture

20+ 自由度 · 高精度力觉反馈20+ DoF · High-precision haptic

EGO 第一视角空间感知系统
EGO

第一视角空间感知Egocentric Spatial Perception

6目相机阵列 · 360°空间感知6-camera array · 360° sensing

FLEX-UMI 跨本体遥操作采集器
FLEX-UMI

跨本体遥操作采集Cross-Embodiment Teleoperation

轻量便携 · 跨本体通用Lightweight · Cross-embodiment

公司演进Company Evolution

PB级工业检测数据，持续向工业 AI 基础设施演进PB-scale industrial inspection data, continuously evolving toward industrial AI infrastructure

8 年工程积累是基础，不是包袱。真实工业现场入口、工程化交付能力、规模化部署经验，是 物理AI 时代的重要起点。 8 years of engineering is a foundation, not a burden. Real industrial site access, engineering delivery capability, and scaled deployment experience are important starting points in the Physical AI era.

2018 — 2022 · PAST

工程积累Engineering Foundation

新能源三电测试、BMS/VCU/MCU、电池包、整车 EOL、HIL/BIL、仿真测试。数采 → 仿真 → 验证 → 评测 → 策略更新。New energy powertrain, BMS/VCU/MCU, battery packs, vehicle EOL, HIL/BIL. Capture → Simulate → Validate → Evaluate → Update.

真实工位入口 工程交付闭环 Sim2Real
→
2023 — 2025 · NOW

数据资产化Data Assetization

数据管线：场景准入 → 工装适配 → 多模态采集 → 数据编译 → 持续迭代。沉淀操作轨迹与认知增强数据包。Data pipeline: Scene entry → Fixture adaptation → Multimodal capture → Data compilation → Continuous iteration. Accumulating operation trajectories and cognitive-enhanced data packs.

多维管线 数据编译 持续迭代
→
2026+ · FUTURE

工业 AI 基础设施Industrial AI Infrastructure

Cross-Embodiment 跨本体平台、工业认知系统、跨物理域具身智能。统一认知系统支撑未知环境泛化决策。Cross-Embodiment platform, industrial cognition system, cross-physical-domain embodied AI. Unified cognition system for unknown-environment generalization.

跨场景迁移 可评测 工业认知
新能源数据闭环 · 已验证 · 超 100+ 客户交付New Energy Data Loop · Validated · 100+ Clients Delivered

新能源：数据闭环与工业 AI 第一站New Energy: Data Loop & Industrial AI First Stop

在电化学域跑通"感知—推理—执行"完整闭环。测试验证系统同时沉淀 PB 级真实工况数据资产，构成工业 AI 的数据入口。Proven "perception-reasoning-execution" loop in the electrochemical domain. Testing systems accumulate PB-scale real-condition data assets — the data gateway for industrial AI.

100+
头部新能源 / 制造企业交付Leading new energy / manufacturing clients delivered
PB级
真实工况数据
可授权 · 可训练Real-World Data
Licensable · Trainable
✓
头部储能客户
完成数据+模型授权闭环Leading ESS client
Data + model licensing loop closed

电化学多物理状态感知Electrochemical multi-physics sensing

电流 / 电压 / 温度 / 内阻 / BMS 等Current / Voltage / Temperature / Resistance / BMS

非线性动态建模Nonlinear dynamic modeling

MIL / SIL / HIL / BIL / Sim2Real / 策略验证MIL / SIL / HIL / BIL / Sim2Real / Strategy

毫秒级云-边协同闭环Millisecond cloud-edge loop

Edge × TestOps × Data Hub × AI PlatformEdge × TestOps × Data Hub × AI Platform

工业 AI 数据升级路径Industrial AI data upgrade path

测试系统 → 数据资产 → 模型训练 → 场景复制Testing systems → Data assets → Model training → Replication

查看新能源解决方案New energy solutions →
新能源三电测试系统 NEW ENERGY · VALIDATED · 100+ CLIENTS DELIVERED
行业方向Industry Directions

从新能源出发，向更多工业场景延伸Starting from new energy, extending to more industrial scenarios

我们在不同阶段深耕不同场景，以已验证的能力为基础，持续拓展工业 AI 的应用边界。 We focus on different scenarios at different stages, building on validated capabilities to continuously expand the application boundaries of industrial AI.

✓ 已验证 · 成熟交付
新能源智能化New Energy AI

100+ 客户交付 · PB级数据积累 · 从测试验证到 AI 升级的完整路径100+ clients delivered · PB-scale data · Complete path from testing to AI upgrade

▶ 深入拓展中
动力电池制造Battery Manufacturing

产线工位数据采集 · 质检智能化 · 工艺优化Production line data capture · Intelligent QC · Process optimization

汽车总装线Auto Assembly Line

总装全流程数字化 · 工位级 AI 能力建设Full assembly digitalization · Workstation-level AI capability

矿山巡检Mining Inspection

高危场景智能巡检 · 多模态感知 · 数据采集Intelligent inspection in high-risk environments · Multimodal sensing

机器人与具身智能Robotics & Embodied AI

真实场景数据 · 技能库建设 · 跨系统能力迁移Real-world data · Skill library · Cross-system capability transfer

○ 探索中 · 未来方向
通用工业智能General Industrial Intelligence

跨物理域能力迁移 · 统一工业 AI 底座Cross-physical-domain capability transfer · Unified industrial AI foundation

能源与电网Energy & Grid

预测性维护 · 巡检机器人 · 智能调度Predictive maintenance · Inspection robots · Intelligent scheduling

低空经济与智能装备Low-Altitude & Smart Equipment

无人系统 · 装备测试 · 跨系统能力迁移Unmanned systems · Equipment testing · Cross-system transfer

精准股东Our Shareholders

10+ 产业资本深度加持Backed by 10+ industrial-capital investors

产业资本是清研精准的关键场景入口、渠道网络与标准共建。 Industrial capital is Tsing Standard's key scenario gateway, channel network and standard co-builder.

星源资本
Xingyuan Capital
富晟集团
Fusheng Group
长城资本
Great Wall Capital
陕汽集团
SHACMAN
壳牌 Shell
Shell
百度风投
Baidu Ventures
58同城
58.com
奇绩创坛
MiraclePlus
100+
产业客户
覆盖具身智能 / 汽车 / 新能源Industrial Clients
Embodied AI / Auto / New Energy
8年
工业 AI
深耕积累Years Industrial AI
Deep Expertise
10+
产业资本股东
股东即场景Industrial Shareholders
Shareholders = Scenarios
查看标杆案例View Benchmark Cases →

与清研精准共建真实工业场景中的物理AI 能力Co-building Physical AI capabilities in real industrial scenarios with Tsing Standard

为机器人时代提供数据、技能、评测和工业世界模型。一套底座，一个大脑，百个垂类场景。Providing data, skills, evaluation and industrial world models for the robotics era. One infrastructure, one brain, hundred vertical scenarios.

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