清华大学苏州汽车研究院（吴江）
清华大学苏州汽车研究院（吴江） is a Tsinghua University-affiliated research institute in Suzhou providing data collection, AI pre-labeling, and human data labeling services to automotive enterprises developing autonomous driving systems under customized multi-year B2B contracts.
- Company typePrivate
- Founded-
- HeadquartersSuzhou (Wujiang), China
- Headcount11–50
- GTM typeB2B
- OfferingServices
清华大学苏州汽车研究院（吴江） firmographics
Firmographics- Name
- 清华大学苏州汽车研究院（吴江）
- Legal name
- 清华大学苏州汽车研究院（吴江）
- Website
- https://label-ai.com
- Company type
- Private
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- 清华大学苏州汽车研究院（吴江） is a Tsinghua University-affiliated research institute in Suzhou providing data collection, AI pre-labeling, and human data labeling services to automotive enterprises developing autonomous driving systems under customized multi-year B2B contracts.
- Ownership category
- akta.pro rank
清华大学苏州汽车研究院（吴江） industry classification
Industry- Product category
- Automotive Data Services
- akta.pro industry
- Data Labeling & Annotation ServicesHardware, Technology & Telecom/Artificial Intelligence & Machine Learning/Synthetic Data, Data Labeling & Training Data ToolsDomain-Specific Training Data Solutions (e.g., medical, AV, geospatial)Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/Synthetic Data, Data Labeling & Training Data Tools
Keywords
Where 清华大学苏州汽车研究院（吴江） is headquartered
LocationHeadquarters
- HQ city
- Suzhou (Wujiang)
- HQ country
- China
- HQ region
- Asia
Offices1 record
Markets served
清华大学苏州汽车研究院（吴江） business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations
Revenue model
- Data Annotation Services: Professional data annotation services for automotive autonomous driving systems, including precise labeling of pedestrians, vehicles, traffic signs and other road elements. Revenue is generated through customized B2B service contracts with automotive enterprises.
- Data Collection Services: Comprehensive data collection covering various road scenarios (urban streets, highways, rural roads), different lighting conditions, weather conditions, and vehicle behavior data including acceleration, braking, and turning patterns.
- AI Pre-labeling Services: AI-powered preliminary data labeling that improves processing efficiency and reduces costs for automotive data service projects. Provides high-quality pre-annotation results as a foundation for subsequent manual refinement.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Customized service plans based on client project requirements |
Go-to-market motion1 record
Distribution channels1 record
Marketing channels1 record
清华大学苏州汽车研究院（吴江） product offering
Product offeringCore offering
The institute provides professional data labeling, data collection, and AI pre-labeling services tailored for the automotive industry, particularly supporting autonomous driving system development. Services include precise annotation of road elements (pedestrians, vehicles, traffic signs), comprehensive road scenario data collection using advanced sensors, and AI-powered preliminary labeling to accelerate processing.
Differentiator
Problem solved
Functional benefit
Quantifiable outcome
- AI pre-labeling greatly improves data processing efficiency and reduces manual annotation workload, shortening project cycles.
- +1 more outcomes
Companies that use 清华大学苏州汽车研究院（吴江）
Customer profileNamed customers1 record
Segments1 record
Ideal customer profiles1 record
清华大学苏州汽车研究院（吴江） technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability5 records
Feature3 records
清华大学苏州汽车研究院（吴江） partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Automotive enterprises (unspecified)coreThe institute has established long-term cooperative relationships with numerous automotive enterprises, providing professional data annotation, data collection, and AI pre-labeling services to support their autonomous driving system development.
清华大学苏州汽车研究院（吴江） competitors and assessment
Company assessmentEmerging players
- Segments.ai: Segments.ai provides data labeling tooling and services with a focus on multi-modal and 3D/sensor-fusion annotation relevant to autonomous driving. Comparable as a specialized data labeling vendor for AV use cases.
- Mindtech: Mindtech specializes in synthetic training data for autonomous driving and ADAS perception. Partially comparable as a provider of AV-specific training data, though differentiated by synthetic (vs. real-world collection + labeling) approach.
Broad incumbents
- Appen: Appen is a global incumbent in training data services spanning images, text, audio, and automotive data. Comparable as a multi-vertical data annotation services provider serving enterprise AI teams, though with much broader scope and scale than this institute's automotive focus.
- Tusimple (data services operations): TuSimple operates one of the world's largest autonomous trucking fleets and historically generated massive volumes of annotated driving data internally. Comparable as an organization that consumes/produces AV training data at scale, though primarily as an integrated AV developer rather than a pure services vendor.
Direct peers
- Labelbox: Labelbox provides a data labeling platform with services for computer vision applications including autonomous driving. Comparable as a platform-plus-services data annotation vendor serving AI/ML teams, though more platform-centric and US-headquartered.
- SuperAnnotate: SuperAnnotate provides a data annotation platform with AI-assisted labeling for computer vision. Comparable as a focused data labeling services and tooling vendor targeting AV and other vision-heavy AI applications.
- Scale AI: Scale AI is the leading data labeling and annotation platform, with significant automotive and autonomous driving work (e.g., partnerships with AV developers). Directly comparable as a high-quality data annotation services provider for AV/ADAS use cases, though at much greater scale.
- V7 Labs: V7 Labs offers AI-assisted data labeling for computer vision, with particular strength in industrial and automotive image/video annotation. Comparable as a data annotation services and tooling provider focused on visual AI use cases.
- BasicAI: BasicAI is a China-based data labeling platform offering annotation tools and services across computer vision and autonomous driving use cases. Closely comparable as a domestic peer serving Chinese AV developers with similar data labeling capabilities.
- Understand AI: Understand AI provides high-quality data labeling services specifically for autonomous driving, including sensor fusion and 3D annotation. Directly comparable as an AV-focused annotation services vendor; was acquired by Bosch, illustrating exit pathways in this space.
Market position
Customer concentration
清华大学苏州汽车研究院（吴江） social profiles
Digital presence清华大学苏州汽车研究院（吴江） financial estimates
Financial estimateRevenue estimate
Valuation estimate
清华大学苏州汽车研究院（吴江） leadership team
Management profileNumber of profiles
清华大学苏州汽车研究院（吴江） funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
清华大学苏州汽车研究院（吴江） M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about 清华大学苏州汽车研究院（吴江）
What does 清华大学苏州汽车研究院（吴江） do?
The institute provides professional data labeling, data collection, and AI pre-labeling services tailored for the automotive industry, particularly supporting autonomous driving system development. Services include precise annotation of road elements (pedestrians, vehicles, traffic signs), comprehensive road scenario data collection using advanced sensors, and AI-powered preliminary labeling to accelerate processing.
When was 清华大学苏州汽车研究院（吴江） founded?
清华大学苏州汽车研究院（吴江） was founded in -1. It employs 11 to 50 people.
Where is 清华大学苏州汽车研究院（吴江） based?
清华大学苏州汽车研究院（吴江） is headquartered in Suzhou (Wujiang), China, in the Asia region.
How does 清华大学苏州汽车研究院（吴江） make money?
Three revenue lines are on record. Data Annotation Services are the primary driver. The others are data Collection Services and AI Pre-labeling Services.
Who are 清华大学苏州汽车研究院（吴江）'s main competitors?
Emerging players on record are Segments.ai and Mindtech. Broad incumbents are Appen and Tusimple (data services operations). Direct peers are Labelbox, SuperAnnotate, Scale AI, V7 Labs, BasicAI and Understand AI.
Does 清华大学苏州汽车研究院（吴江） have an API?
No public API is recorded for 清华大学苏州汽车研究院（吴江）.
What industry is 清华大学苏州汽车研究院（吴江） in?
清华大学苏州汽车研究院（吴江）'s product category is Automotive Data Services. Its primary akta.pro industry code is HDAAALAB, Data Labeling & Annotation Services, with a secondary code of HDAAALAL, Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial).