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Datatang

Full company profile

uuid0008lx2

Namestring
Datatang
Legal namestring
数据堂(北京)科技股份有限公司
Websiteurl
datatang.com
Company typeenum
Private
Founded yearint
2010
Descriptiontext

Datatang (数据堂), founded in 2010 and headquartered in Beijing's Haidian District (Aobei Technology Park), is a privately held B2B AI training data services provider serving global enterprise customers building computer vision, speech, natural language, multi-modal, and large language model (LLM) systems. The company operates a full-stack service portfolio built around four pillars: (1) pre-built copyright datasets covering speech recognition/synthesis across 200+ languages and dialects (2M+ hours), computer vision (~1M IDs / 800TB), OCR, pronunciation dictionaries, and natural language understanding; (2) data customization services spanning multi-modal, LiDAR point cloud, street view, OCR, behavior/identity recognition, and speech; (3) vertical-specific industry solutions for autonomous driving, smart customer service, smart home, intelligent entertainment, new retail, and smart healthcare; and (4) the proprietary Shujiajia (数加加) data annotation platform supporting 2D, 3D, and 4D labeling with algorithm-assisted pre-recognition that delivers 30%+ efficiency improvements.

Underlying technology centers on the Shujiajia platform's algorithm-assisted pre-identification pipeline and an 8,000 sqm dedicated physical data collection factory for embodied AI/robotics research, complemented by an in-house professional annotation workforce and medical-specialist labeling teams. The company holds ISO9001, ISO27001, and ISO27701 certifications and secures national IP certificates on finished datasets, with a subject-authorized consent regime that addresses enterprise buyer due diligence.

Datatang's go-to-market is a sales-led enterprise motion: direct consultation via the website, customer service system, phone (13051623904), and email ([email protected]) under quote-based custom pricing on multi-year contracts. Revenue mechanics combine one-time copyright dataset licensing, professional services for custom collection/annotation, and recurring/subscription access to the Shujiajia platform and training edition. The company claims 5,000+ global enterprise customers served and a product footprint spanning China, Japan, Korea, the US, UK, France, Germany, and Russia.

Short descriptiontext

Datatang is a Beijing-based AI training data services provider offering copyright datasets, custom data collection/annotation, vertical solutions, and the proprietary Shujiajia annotation platform, serving 5,000+ global enterprise customers across autonomous driving, LLM, speech, vision, and embodied AI.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersBeijing, China
HQ citystring
Beijing
HQ countrystring
China
HQ regionstring
Asia
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI training data, data annotation services, large language model datasets, computer vision datasets, speech recognition datasets
Industry5 codes
1Data Labeling & Annotation Services
CodeHDAAALABPrimaryYes
2Data Pipelines for GenAI (Curation, Filtering, Deduplication, Copyright)
CodeHDAAACAJPrimaryNo
3Dataset Discovery, Marketplaces & Licensing
CodeHDAAALAEPrimaryNo
4Data Monetization & Data Products Services
CodeBPAEAHALPrimaryNo
5Data Augmentation & Programmatic Labeling
CodeHDAAALAHPrimaryNo
NAICS code3 codes
  • Custom Computer Programming Services541511
  • Software Publishers5132
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services51821
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Computer Processing & Data Preparation7374
Product category
AI Training Data Services
No data
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model4 records
1Copyright Dataset Sales
TypeOne Time License
Description

Sales of pre-built, copyright-cleared AI training datasets including speech, computer vision, NLP, and LLM data. All data is authorized by subjects, enabling immediate use by customers.

datatang.com
2Data Customization Services
TypeProfessional Services
Description

Custom data collection and annotation services tailored to specific customer needs across various modalities including multi-modal, LiDAR point clouds, street view, OCR, behavior recognition, identity recognition, speech recognition, and speech synthesis.

datatang.com
3Industry Solutions
TypeSubscription Recurring
Description

Vertical-specific AI training data solutions for industries including autonomous driving, intelligent customer service, smart home, intelligent entertainment, new retail, healthcare, high-quality dataset construction, and large model services.

datatang.com
4Data Annotation Platform Access
TypeSubscription Recurring
Description

Access to the proprietary data annotation platform (数加加) for customer data labeling needs, including training platform for education purposes.

datatang.com
Marketing channels2 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Operations, Technology or R&D, Marketing or Sales, Infrastructure
Pricing details1 tier
1Custom quotation-based pricing
ModelOtherBilling cadenceMulti-year contract
Notes

No public pricing listed; customers must request quotes through sales consultation forms on the website.

datatang.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 record
1数加加
Description

Self-developed data annotation platform supporting 2D, 3D, and 4D data annotation for various AI training needs.

datatang.com
Core offering1 text field

Datatang provides copyright-cleared AI training datasets, customized data collection and annotation services, vertical-specific industry solutions, and its self-developed Shujiajia annotation platform for buyers developing AI and machine learning models. Offerings span large language model, computer vision, speech recognition/synthesis, OCR, and embodied intelligence data, with subject authorization that lets customers deploy the data immediately.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • Per capita annotation efficiency improved by 30%+
+1 more record
Product overview1 text field

Datatang (数据堂) is a global AI training data service provider founded in 2010, offering a comprehensive full-stack data service portfolio. The core offerings include: (1) Training Datasets - copyright datasets for embodied AI, LLM, computer vision, speech recognition, speech synthesis, OCR, pronunciation dictionary, and natural language understanding; (2) Data Customization Services - tailored collection and processing for multimodal, LiDAR point cloud, street view, OCR, behavior recognition, identity recognition, speech recognition, and speech synthesis; (3) Industry Solutions - high-quality dataset construction, LLM solutions, and vertical solutions for smart driving, smart customer service, smart home, smart entertainment, new retail, and smart healthcare; (4) Data Annotation Platform (Shujiajia) - self-developed annotation tool supporting 2D/3D/4D labeling with algorithm-assisted automation. The company has built 1000+ copyright datasets, 2 million+ hours of speech data, and 800TB of computer vision data, covering 100+ languages and dialects, serving over 3000 global enterprise customers.

Product and service20 records
1Embodied AI Training Datasets (具身智能训练数据集)
CategoryAI Training Data
Description

Multi-scenario, real-world data collection for embodied AI applications, delivered as large-scale proprietary copyright finished datasets used to build high-precision, multi-modal intelligent robot training data loops.

2LLM Training Datasets (大模型训练数据集)
CategoryAI Training Data
Description

PB-level copyrighted large language model datasets including large-scale high-quality unsupervised corpora, instruction-tuning Q&A pairs, and image-text-video multi-modal data for foundation model training.

3Computer Vision Training Datasets (计算机视觉训练数据集)
CategoryAI Training Data
Description

Approximately 800TB of computer vision copyright datasets covering roughly 1 million IDs across face, body, traffic scenes, and multi-modal models for computer vision AI training.

4Speech Recognition Training Datasets (语音识别训练数据集)
CategoryAI Training Data
Description

More than 10 million hours of speech datasets covering 200+ languages and dialects across varied recording equipment, scenarios, and formats for ASR model development.

5Speech Synthesis Training Datasets (语音合成训练数据集)
CategoryAI Training Data
Description

Multi-language, multi-voice, multi-style speech synthesis resources recorded in NR15 acoustic environments with professional voice actors for TTS applications.

6OCR Training Datasets (OCR训练数据集)
CategoryAI Training Data
Description

Optical character recognition training datasets supporting text extraction from images and documents across multiple languages and scenarios.

7Pronunciation Dictionary Training Datasets (发音词典训练数据集)
CategoryAI Training Data
Description

Pronunciation dictionary datasets engineered for speech recognition and synthesis model training.

8Natural Language Understanding Training Datasets (自然语言理解训练数据集)
CategoryAI Training Data
Description

Natural language understanding datasets for NLP model training, covering text classification, entity recognition, and semantic understanding tasks.

9Shujiajia Data Annotation Platform (数据标注平台 / 数加加)
CategorySoftware Platform
Description

Self-developed annotation platform supporting 2D, 3D, and 4D data labeling with algorithm-assisted pre-identification for semi-automatic annotation, improving per-capita efficiency by over 30%.

10Data Annotation Training Platform (数据标注实训平台)
CategorySoftware Platform
Description

Training platform for data annotation skill development and education, extending the Shujiajia platform for workforce training purposes.

11Multimodal Data Customization (多模态数据定制)
CategoryCustom Data Service
Description

Custom multimodal data collection and processing services tailored to specific AI training requirements.

12LiDAR Point Cloud Data Customization (激光雷达点云数据定制)
CategoryCustom Data Service
Description

Custom LiDAR point cloud data collection and annotation tailored for autonomous driving applications.

13High-Quality Dataset Construction Solution (高质量数据集建设解决方案)
CategoryIndustry Solution
Description

End-to-end industry dataset construction solution helping enterprises release data element value and continuously deliver high-quality, trustworthy training data for AI applications.

14LLM Solution (大模型解决方案)
CategoryIndustry Solution
Description

One-stop large model data services combining copyrighted datasets, model fine-tuning annotation, and model evaluation, delivered with proprietary full-stack LLM annotation tools.

15Smart Driving Solution (智能驾驶解决方案)
CategoryIndustry Solution
Description

Autonomous driving data solution offering large-scale proprietary finished datasets covering in-cabin intelligence R&D and supporting 2D, 3D, and 4D annotation for full driving coverage.

16Smart Customer Service Solution (智能客服解决方案)
CategoryIndustry Solution
Description

Customer service AI solution leveraging 2 million+ hours of speech data to improve voice recognition models and multi-type data processing for AI model performance.

17Smart Home Solution (智能家居解决方案)
CategoryIndustry Solution
Description

Smart home data solution covering multi-scenario, multi-modal, and diverse data types to improve sensing and interaction precision for home devices.

18Smart Entertainment Solution (智能娱乐解决方案)
CategoryIndustry Solution
Description

Entertainment AI solution drawing on 800TB of computer vision data and 2 million+ hours of speech data to enhance AI performance in gaming and entertainment.

19New Retail Solution (新零售解决方案)
CategoryIndustry Solution
Description

New retail data solution providing precise, efficient data for intelligent, personalized shopping experiences.

20Smart Healthcare Solution (智能医疗解决方案)
CategoryIndustry Solution
Description

Healthcare AI solution supporting multi-type data annotation through the proprietary platform and professional medical annotation teams for auxiliary diagnosis and health monitoring applications.

Scale indicator4 records

Each record includes

Type, Value, Description, Source

Partnership3 partners
Strategic tierMinorTypeOthers
Description

OpenMPD is listed as a friendly link on Datatang's website footer, indicating some form of partnership or resource sharing relationship in the data ecosystem.

2数加加 (Shujiajia)
Strategic tierMinorTypeOthers
Description

Shujiajia is a related data annotation platform brand, listed as a friendly link. It appears to be an affiliated or sister platform for data annotation services.

datatang.com
3帕依提提 (Payititi)
Strategic tierMinorTypeOthers
Description

Payititi is listed as a friendly link, suggesting a partnership or collaboration in the data services ecosystem.

datatang.com
Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Labelbox offers a data labeling platform with managed annotation services across computer vision and NLP use cases. It competes directly with Datatang's Shujiajia annotation platform and annotation service offering.

TypeDirect peer
Description

Appen provides human-annotated datasets for machine learning and AI across speech, text, image, and video modalities, serving global enterprise customers. It directly competes with Datatang in copyright dataset licensing and custom annotation services.

TypeDirect peer
Description

Scale AI is a global leader in training data for AI, offering data annotation, evaluation, and RLHF services across computer vision, NLP, and autonomous driving. It is the most direct competitor to Datatang's full-stack data services model.

TypeEmerging player
Description

Snorkel AI uses programmatic labeling and weak supervision to reduce reliance on manual annotation, serving enterprise ML teams. It represents an adjacent, technology-driven threat to Datatang's manual annotation services.

TypeDirect peer
Description

Clickworker offers crowdsourced data collection and annotation services for AI training, including text, image, and audio labeling. It is a comparable peer in the custom data and crowdsourced annotation space.

TypeEmerging player
Description

Turing provides AI training data services including RLHF and code labeling through a distributed expert workforce. It is an emerging player with partial overlap in LLM and code training data services adjacent to Datatang's offerings.

TypeDirect peer
Description

CloudFactory provides managed data annotation and labeling workforces for AI/ML teams across computer vision and NLP. It is a direct competitor in the custom data annotation services segment Datatang serves.

TypeEmerging player
Description

Surge AI focuses on high-quality NLP data labeling and RLHF for foundation models, a fast-growing niche within AI training data. It represents emerging competition in Datatang's LLM dataset and annotation business.

TypeDirect peer
Description

Defined.ai operates an AI training data marketplace with pre-built datasets and custom data services across speech, vision, and NLP. It directly parallels Datatang's copyright dataset and customization offering.

TypeBroad incumbent
Description

AWS SageMaker Ground Truth is a broad cloud platform offering managed data labeling services integrated with the AWS ecosystem. It competes as a broad incumbent in the same data annotation category Datatang serves.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers1 record

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability10 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance3 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors1 record

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment1 record

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Datatang

AI Training Data Servicesdatatang.com

Datatang is a Beijing-based AI training data services provider offering copyright datasets, custom data collection/annotation, vertical solutions, and the proprietary Shujiajia annotation platform, serving 5,000+ global enterprise customers across autonomous driving, LLM, speech, vision, and embodied AI.

What Datatang does

Datatang (数据堂), founded in 2010 and headquartered in Beijing's Haidian District (Aobei Technology Park), is a privately held B2B AI training data services provider serving global enterprise customers building computer vision, speech, natural language, multi-modal, and large language model (LLM) systems. The company operates a full-stack service portfolio built around four pillars: (1) pre-built copyright datasets covering speech recognition/synthesis across 200+ languages and dialects (2M+ hours), computer vision (~1M IDs / 800TB), OCR, pronunciation dictionaries, and natural language understanding; (2) data customization services spanning multi-modal, LiDAR point cloud, street view, OCR, behavior/identity recognition, and speech; (3) vertical-specific industry solutions for autonomous driving, smart customer service, smart home, intelligent entertainment, new retail, and smart healthcare; and (4) the proprietary Shujiajia (数加加) data annotation platform supporting 2D, 3D, and 4D labeling with algorithm-assisted pre-recognition that delivers 30%+ efficiency improvements.

Underlying technology centers on the Shujiajia platform's algorithm-assisted pre-identification pipeline and an 8,000 sqm dedicated physical data collection factory for embodied AI/robotics research, complemented by an in-house professional annotation workforce and medical-specialist labeling teams. The company holds ISO9001, ISO27001, and ISO27701 certifications and secures national IP certificates on finished datasets, with a subject-authorized consent regime that addresses enterprise buyer due diligence.

Datatang's go-to-market is a sales-led enterprise motion: direct consultation via the website, customer service system, phone (13051623904), and email ([email protected]) under quote-based custom pricing on multi-year contracts. Revenue mechanics combine one-time copyright dataset licensing, professional services for custom collection/annotation, and recurring/subscription access to the Shujiajia platform and training edition. The company claims 5,000+ global enterprise customers served and a product footprint spanning China, Japan, Korea, the US, UK, France, Germany, and Russia.

Datatang firmographics

Firmographics
Name
Datatang
Legal name
数据堂(北京)科技股份有限公司
Website
https://datatang.com
Company type
Private
Founded year
2010
Operating status
Operating
Headcount range
101–250 employees
Short description
Datatang is a Beijing-based AI training data services provider offering copyright datasets, custom data collection/annotation, vertical solutions, and the proprietary Shujiajia annotation platform, serving 5,000+ global enterprise customers across autonomous driving, LLM, speech, vision, and embodied AI.
Ownership category
akta.pro rank

Datatang industry classification

Industry
Product category
AI Training Data Services
NAICS
Custom Computer Programming Services (541511), Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
SIC
Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
akta.pro primary industry
Data Labeling & Annotation Services (HDAAALAB)
akta.pro secondary industries
Data Pipelines for GenAI (Curation, Filtering, Deduplication, Copyright) (HDAAACAJ), Dataset Discovery, Marketplaces & Licensing (HDAAALAE), Data Monetization & Data Products Services (BPAEAHAL), Data Augmentation & Programmatic Labeling (HDAAALAH)

Keywords

  • AI training data
  • Data annotation services
  • Large language model datasets
  • Computer vision datasets
  • Speech recognition datasets

Where Datatang is headquartered

Location

Headquarters

HQ city
Beijing
HQ country
China
HQ region
Asia

Offices1 record

Markets served

Datatang business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Operations, Technology or R&D, Marketing or Sales, Infrastructure

Revenue model

  1. Copyright Dataset Sales: Sales of pre-built, copyright-cleared AI training datasets including speech, computer vision, NLP, and LLM data. All data is authorized by subjects, enabling immediate use by customers.
  2. Data Customization Services: Custom data collection and annotation services tailored to specific customer needs across various modalities including multi-modal, LiDAR point clouds, street view, OCR, behavior recognition, identity recognition, speech recognition, and speech synthesis.
  3. Industry Solutions: Vertical-specific AI training data solutions for industries including autonomous driving, intelligent customer service, smart home, intelligent entertainment, new retail, healthcare, high-quality dataset construction, and large model services.
  4. Data Annotation Platform Access: Access to the proprietary data annotation platform (数加加) for customer data labeling needs, including training platform for education purposes.

Pricing tiers

ModelBillingPrice
OtherMulti-year contractCustom quotation-based pricing

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

Datatang product offering

Product offering

Core offering

Datatang provides copyright-cleared AI training datasets, customized data collection and annotation services, vertical-specific industry solutions, and its self-developed Shujiajia annotation platform for buyers developing AI and machine learning models. Offerings span large language model, computer vision, speech recognition/synthesis, OCR, and embodied intelligence data, with subject authorization that lets customers deploy the data immediately.

Product overview

Datatang (数据堂) is a global AI training data service provider founded in 2010, offering a comprehensive full-stack data service portfolio. The core offerings include: (1) Training Datasets - copyright datasets for embodied AI, LLM, computer vision, speech recognition, speech synthesis, OCR, pronunciation dictionary, and natural language understanding; (2) Data Customization Services - tailored collection and processing for multimodal, LiDAR point cloud, street view, OCR, behavior recognition, identity recognition, speech recognition, and speech synthesis; (3) Industry Solutions - high-quality dataset construction, LLM solutions, and vertical solutions for smart driving, smart customer service, smart home, smart entertainment, new retail, and smart healthcare; (4) Data Annotation Platform (Shujiajia) - self-developed annotation tool supporting 2D/3D/4D labeling with algorithm-assisted automation. The company has built 1000+ copyright datasets, 2 million+ hours of speech data, and 800TB of computer vision data, covering 100+ languages and dialects, serving over 3000 global enterprise customers.

Differentiator

Problem solved

Functional benefit

Brands

  • 数加加: Self-developed data annotation platform supporting 2D, 3D, and 4D data annotation for various AI training needs.

Products and services

  • Embodied AI Training Datasets (具身智能训练数据集) Multi-scenario, real-world data collection for embodied AI applications, delivered as large-scale proprietary copyright finished datasets used to build high-precision, multi-modal intelligent robot training data loops.
  • LLM Training Datasets (大模型训练数据集) PB-level copyrighted large language model datasets including large-scale high-quality unsupervised corpora, instruction-tuning Q&A pairs, and image-text-video multi-modal data for foundation model training.
  • Computer Vision Training Datasets (计算机视觉训练数据集) Approximately 800TB of computer vision copyright datasets covering roughly 1 million IDs across face, body, traffic scenes, and multi-modal models for computer vision AI training.
  • Speech Recognition Training Datasets (语音识别训练数据集) More than 10 million hours of speech datasets covering 200+ languages and dialects across varied recording equipment, scenarios, and formats for ASR model development.
  • Speech Synthesis Training Datasets (语音合成训练数据集) Multi-language, multi-voice, multi-style speech synthesis resources recorded in NR15 acoustic environments with professional voice actors for TTS applications.
  • OCR Training Datasets (OCR训练数据集) Optical character recognition training datasets supporting text extraction from images and documents across multiple languages and scenarios.
  • Pronunciation Dictionary Training Datasets (发音词典训练数据集) Pronunciation dictionary datasets engineered for speech recognition and synthesis model training.
  • Natural Language Understanding Training Datasets (自然语言理解训练数据集) Natural language understanding datasets for NLP model training, covering text classification, entity recognition, and semantic understanding tasks.
  • Shujiajia Data Annotation Platform (数据标注平台 / 数加加) Self-developed annotation platform supporting 2D, 3D, and 4D data labeling with algorithm-assisted pre-identification for semi-automatic annotation, improving per-capita efficiency by over 30%.
  • Data Annotation Training Platform (数据标注实训平台) Training platform for data annotation skill development and education, extending the Shujiajia platform for workforce training purposes.
  • Multimodal Data Customization (多模态数据定制) Custom multimodal data collection and processing services tailored to specific AI training requirements.
  • LiDAR Point Cloud Data Customization (激光雷达点云数据定制) Custom LiDAR point cloud data collection and annotation tailored for autonomous driving applications.
  • High-Quality Dataset Construction Solution (高质量数据集建设解决方案) End-to-end industry dataset construction solution helping enterprises release data element value and continuously deliver high-quality, trustworthy training data for AI applications.
  • LLM Solution (大模型解决方案) One-stop large model data services combining copyrighted datasets, model fine-tuning annotation, and model evaluation, delivered with proprietary full-stack LLM annotation tools.
  • Smart Driving Solution (智能驾驶解决方案) Autonomous driving data solution offering large-scale proprietary finished datasets covering in-cabin intelligence R&D and supporting 2D, 3D, and 4D annotation for full driving coverage.
  • Smart Customer Service Solution (智能客服解决方案) Customer service AI solution leveraging 2 million+ hours of speech data to improve voice recognition models and multi-type data processing for AI model performance.
  • Smart Home Solution (智能家居解决方案) Smart home data solution covering multi-scenario, multi-modal, and diverse data types to improve sensing and interaction precision for home devices.
  • Smart Entertainment Solution (智能娱乐解决方案) Entertainment AI solution drawing on 800TB of computer vision data and 2 million+ hours of speech data to enhance AI performance in gaming and entertainment.
  • New Retail Solution (新零售解决方案) New retail data solution providing precise, efficient data for intelligent, personalized shopping experiences.
  • Smart Healthcare Solution (智能医疗解决方案) Healthcare AI solution supporting multi-type data annotation through the proprietary platform and professional medical annotation teams for auxiliary diagnosis and health monitoring applications.

Quantifiable outcome

  • Per capita annotation efficiency improved by 30%+
  • +1 more outcomes

Companies that use Datatang

Customer profile

Named customers1 record

Segments7 records

Ideal customer profiles2 records

Datatang technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability10 records

Feature6 records

Datatang partnerships and signals

Strategic signal

Partnerships

Three partnerships are on record, tiered minor.

  • openMPDminorOthersOpenMPD is listed as a friendly link on Datatang's website footer, indicating some form of partnership or resource sharing relationship in the data ecosystem.
  • 数加加 (Shujiajia)minorOthersShujiajia is a related data annotation platform brand, listed as a friendly link. It appears to be an affiliated or sister platform for data annotation services.
  • 帕依提提 (Payititi)minorOthersPayititi is listed as a friendly link, suggesting a partnership or collaboration in the data services ecosystem.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Datatang competitors and assessment

Company assessment

Direct peers

  • Labelbox: Labelbox offers a data labeling platform with managed annotation services across computer vision and NLP use cases. It competes directly with Datatang's Shujiajia annotation platform and annotation service offering.
  • Appen: Appen provides human-annotated datasets for machine learning and AI across speech, text, image, and video modalities, serving global enterprise customers. It directly competes with Datatang in copyright dataset licensing and custom annotation services.
  • Scale AI: Scale AI is a global leader in training data for AI, offering data annotation, evaluation, and RLHF services across computer vision, NLP, and autonomous driving. It is the most direct competitor to Datatang's full-stack data services model.
  • Clickworker: Clickworker offers crowdsourced data collection and annotation services for AI training, including text, image, and audio labeling. It is a comparable peer in the custom data and crowdsourced annotation space.
  • CloudFactory: CloudFactory provides managed data annotation and labeling workforces for AI/ML teams across computer vision and NLP. It is a direct competitor in the custom data annotation services segment Datatang serves.
  • Defined.ai: Defined.ai operates an AI training data marketplace with pre-built datasets and custom data services across speech, vision, and NLP. It directly parallels Datatang's copyright dataset and customization offering.

Emerging players

  • Snorkel AI: Snorkel AI uses programmatic labeling and weak supervision to reduce reliance on manual annotation, serving enterprise ML teams. It represents an adjacent, technology-driven threat to Datatang's manual annotation services.
  • Turing: Turing provides AI training data services including RLHF and code labeling through a distributed expert workforce. It is an emerging player with partial overlap in LLM and code training data services adjacent to Datatang's offerings.
  • Surge AI: Surge AI focuses on high-quality NLP data labeling and RLHF for foundation models, a fast-growing niche within AI training data. It represents emerging competition in Datatang's LLM dataset and annotation business.

Broad incumbents

  • Amazon SageMaker Ground Truth: AWS SageMaker Ground Truth is a broad cloud platform offering managed data labeling services integrated with the AWS ecosystem. It competes as a broad incumbent in the same data annotation category Datatang serves.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

Datatang compliance and trust

Trust signal

Compliance3 records

Datatang financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Datatang leadership team

Management profile

Number of profiles

Profiles1 record

Datatang funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Datatang M&A and investment

M&A and investment

M&A

Investments1 record

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Datatang

What does Datatang do?

Datatang provides copyright-cleared AI training datasets, customized data collection and annotation services, vertical-specific industry solutions, and its self-developed Shujiajia annotation platform for buyers developing AI and machine learning models. Offerings span large language model, computer vision, speech recognition/synthesis, OCR, and embodied intelligence data, with subject authorization that lets customers deploy the data immediately.

Is Datatang a public or private company?

Datatang is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Datatang founded?

Datatang was founded in 2010. It employs 101 to 250 people.

Where is Datatang based?

Datatang is headquartered in Beijing, China, in the Asia region.

How does Datatang make money?

Four revenue lines are on record. Copyright Dataset Sales are the primary driver. The others are data Customization Services, industry Solutions and data Annotation Platform Access.

Who are Datatang's main competitors?

Direct peers on record are Labelbox, Appen, Scale AI, Clickworker, CloudFactory and Defined.ai. Emerging players are Snorkel AI, Turing and Surge AI. Amazon SageMaker Ground Truth is listed as a broad incumbent.

Does Datatang have an API?

No public API is recorded for Datatang.

What industry is Datatang in?

Datatang's product category is AI Training Data Services. Its primary akta.pro industry code is HDAAALAB, Data Labeling & Annotation Services, with a secondary code of HDAAACAJ, Data Pipelines for GenAI (Curation, Filtering, Deduplication, Copyright). Its NAICS code is 541511 and its SIC code is 7370.

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