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无问智科

Category: AI Infrastructure

Physical AI data infrastructure provider building the industry's first data base platform for embodied intelligence, offering AI data annotation, synthetic data generation, and simulation verification solutions. 无问智科 was founded in 2022. The company is led by 刘盛翔 (Liu Shengxiang). Based in Deqing, Zhejiang, China (HQ); Beijing, China. Team size: 101-500. Total funding raised: $20.0M. Latest round: Series A. Key investors include 浙创投资 (Zhechuang Investment), 力合资本 (Leaguer Capital), 力合金融 (Leaguer Financial), 盈确控股 (Yingque Holdings), 启迪之星创投 (TusStar Ventures), 架桥资本 (Bridge Capital), 海邦投资 (Haibang Investment), 甬科天使创投 (Yongke Angel Ventures), 澄凯灵澄未来基金 (Chengkai Lingcheng Future Fund), 九识智能 (Jiusi Intelligence).

Founded
2022
Headquarters
Deqing, Zhejiang, China (HQ); Beijing, China
Team size
101-500
Total funding
$20.0M

Value proposition

Industry's first physical AI data base platform that provides end-to-end "collection - processing - training - evaluation - deployment" data infrastructure for embodied intelligence, solving the core bottlenecks of data scarcity, high cost, and scene disconnection in the physical AI industry.

Products and solutions

1. "无垠" (Wuyin) Physical AI Data Base Platform - industry's first physical AI data base platform, 2. WWAutoLabeler - AI automatic annotation platform (v3.0), 3. WWSim - Generative simulation platform, 4. WWDataCenter - Data management platform, 5. WWModelZoo - Automatic annotation model library (BEV+Transformer, SAM, GLIP, GroundingDINO), 6. Real2Sim2Real full-chain toolchain and evaluation framework, 7. 长三角(德清)具身智能数据采集训练场 (Yangtze River Delta Deqing Embodied Intelligence Data Collection Training Ground) - China's first virtual-real fusion closed-loop training facility

Unique value

Only company with a full-stack physical AI data base platform combining real-world data collection grounds (Deqing training facility), synthetic data generation, Real2Sim2Real pipeline, and standardized evaluation framework for embodied intelligence.

Target customer

Autonomous driving companies (OEMs, Tier 1 suppliers, autonomous driving solution providers), AI large model companies, robotics/embodied intelligence companies, L4 autonomous driving companies (Robotaxi, RoboBus, RoboTruck, logistics, mining, ports)

Industries served

Autonomous driving, Embodied intelligence / Robotics, AI large models, Smart manufacturing, New energy (wind power), Smart retail, Logistics

Technology advantage

Full-stack self-developed technology: multi-source heterogeneous data collection, cross-ontology data migration tools, generative simulation, multi-modal LLM-based auto-annotation, Real2Sim2Real asset generation pipeline; world model × data factory × world simulator three-in-one strategy; daily production of thousands of hours of real data and tens of thousands of synthetic data samples; three-tier training system

How they differentiate

First-mover as the industry's first physical AI data base platform provider; owns China's first virtual-real fusion closed-loop embodied intelligence data collection training ground; full-stack self-developed technology from data collection to simulation to evaluation; deep Baidu Apollo heritage with proven autonomous driving expertise; exclusive national pilot for embodied intelligence high-quality dataset construction in Zhejiang province; strategic partnership with Horizon Robotics (founder Yu Kai serves as Chief Advisor)

Main competitors

灵初智能 (Lingchu Intelligence) - embodied intelligence data/training, 亮道智能 (Liangdao Intelligence) - autonomous driving data factory, 云测数据 (CloudTest Data) - AI data annotation for autonomous driving, 库帕思 (Kupasi) - embodied intelligence scenario data

Key partnerships

金山云 (Kingsoft Cloud) - strategic partnership for cloud infrastructure, 地平线 (Horizon Robotics) - Chief Advisor Yu Kai (Horizon founder), joint EmbodiedGen digital cousin work, 浙创投资 (Zhechuang Investment) - state capital platform for policy and regional resource integration, 长三角(德清)具身智能数据采集训练场 - built with local government support, 50+ ecosystem partners including embodied intelligence companies and scenario enterprises

Notable customers

星动纪元 (Xingdong Jiyuan/Star Dynamics), 它石智航 (Tashi Zhihang), 灵心巧手 (Lingxin Qiaoshou), 零次方 (Lingcifang), 字节跳动 (ByteDance), 无界动力 (Wujie Dongli), 章鱼动力 (Zhangyu Dongli)

Major milestones

2022-11: Company founded, 2023-05: Official operations launch, 2024-01: Seed round from leading autonomous driving solution provider, 2024-03: WWAutoLabeler v1.0 launched, strategic partnership with Kingsoft Cloud, 2024-08: Angel round (tens of millions RMB) led by Leaguer Capital, 2026-03: Launched industry's first Physical AI Data Base Platform "Wuyin" and Yangtze River Delta (Deqing) Embodied Intelligence Data Collection Training Ground, 2026-04: Series A (over RMB 100M) with state, industrial, and VC investors, 2024 revenue exceeded tens of millions RMB, 2025 maintained double-digit growth, 2026 Q1 signed orders with ByteDance and others totaling hundreds of millions RMB

Growth metrics

2024 revenue: 数千万 (tens of millions RMB); 2025: maintained double-digit growth; 2026 Q1: signed orders totaling hundreds of millions RMB; projected 2026 revenue to exceed RMB 100M; daily production: thousands of hours real data + tens of thousands synthetic data samples; 50+ ecosystem partners

Market positioning

Pioneer and leader in physical AI data infrastructure in China; positioned as the "data base" layer for embodied intelligence industry, analogous to what cloud computing infrastructure is to the internet industry; designated as Zhejiang province's sole national pilot unit for embodied intelligence high-quality dataset construction

Geographic focus

China (primary); expanding from autonomous driving to embodied intelligence/robotics ecosystem

About 刘盛翔 (Liu Shengxiang)

Ex-Baidu Apollo - former Head of Autonomous Driving Testing and Head of Intelligent Vehicle Testing at Baidu, Top 20 employee of Baidu Autonomous Driving team; one of China's first autonomous driving technical professionals; built Baidu Apollo autonomous driving test tool platform, AI data annotation platform, and the industry's largest autonomous driving test scenario library.

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