更高质量的数据，更有竞争力的AI
数据堂 (Datatang) (datatang.com) scores 66 out of 100 on Brand Analyzer, placing it in the Developing tier among SaaS brands, Technology brands, in the 14th percentile of 29936 SaaS brands.
数据堂 (Datatang) is a 数据堂（Datatang）成立于2010年，是专业的人工智能训练数据服务企业。数据堂提供全栈式数据服务，包括版权数据集、数据定制、行业解决方案。数据堂已助力上千家企业提升模型表现力。. 为人工智能企业提供高质量的训练数据服务，助力其提升模型表现力。.
| Brand Name | 数据堂 (Datatang) |
|---|---|
| Domain | datatang.com |
| Industry | SaaS, Technology |
| Founded | 2010 |
| Main Competitors | Appen (93/100), Scale AI (90/100), iMerit (87/100), Speechocean (海天瑞声), Testin (云测数据), Samasource (Sama) (92/100) |
Moz Domain Authority 22/100 vs category average 37 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #1,448,847 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "数据堂（Datatang）成立于2010年，是专业的人工智能训练数据服务企业。数据堂提供全栈式数据服务，包括版权数据集、数据定制、行业解决方案。数据堂已助力上千家企业提升模型表现力。" (Meta description too short (1 words). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Vue.
Social footprint: verified profiles on Instagram, GitHub; no detected presence on X (Twitter), LinkedIn, Facebook, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is 数据堂 (Datatang)?", Claude could identify the brand as of October 2026. 数据堂 (Datatang) is a Chinese data services company that provides AI training data, including speech, image, text, and video datasets, along with data annotation and collection services for machine learning and AI companies. Best known for Providing large-scale annotated datasets and data collection services for AI and machine learning model training.
When asked "Best brands similar to 数据堂 (Datatang)?", Claude would recommend 数据堂 (Datatang) as of October 2026. It is one of the well-known Chinese AI training data providers, so it would be relevant if someone asked about data annotation or dataset vendors in that market.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
数据堂 (Datatang)'s main competitors in SaaS: Appen (93/100), Scale AI (90/100), iMerit (87/100), Samasource (Sama) (92/100).
Sources: Brand Analyzer scan
数据堂 (Datatang) has low AI-search visibility, scoring 19/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 19, recommendation 52). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: 数据堂 (Datatang) official site
数据堂提供的产品与服务包括：版权数据集（可授权使用的标准化训练数据）、数据定制服务（根据客户具体需求采集和标注数据）、以及针对大模型、具身智能、计算机视觉、语音识别等领域的行业解决方案。
Sources: 数据堂 (Datatang) official site
数据堂 (Datatang) scores 52/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: 数据堂 (Datatang) official site
数据堂（Datatang）是一家成立于2010年的中国人工智能训练数据服务企业，专注于为AI企业提供高质量的训练数据支持。公司提供版权数据集、数据定制及行业解决方案，服务覆盖大模型、具身智能、计算机视觉和语音识别等领域。
Sources: 数据堂 (Datatang) official site
数据堂提供全栈式AI训练数据服务，包括版权数据集的授权与销售、根据客户需求定制的数据采集与标注服务，以及针对特定行业的数据解决方案，帮助人工智能企业提升其模型的表现力。
Sources: 数据堂 (Datatang) official site
数据堂 (Datatang) can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: 数据堂 (Datatang) official site
数据堂以其专业的人工智能训练数据服务而闻名，自2010年成立以来深耕AI数据领域，已为上千家企业提供版权数据集、数据定制和行业解决方案，是大模型与具身智能时代重要的数据基础设施提供商之一。
Sources: 数据堂 (Datatang) official site
数据堂的客户主要是人工智能企业、大模型研发团队、具身智能及机器人公司，以及其他需要高质量训练数据以提升模型性能的科技企业。公司表示已服务上千家此类企业。
Sources: 数据堂 (Datatang) official site
数据堂 (Datatang) scores 19/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
数据堂 (Datatang) has a weak AI-visibility profile at 19/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (52/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #1,448,847 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 22/100. In a live check, Claude could already identify 数据堂 (Datatang) from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to 数据堂 (Datatang): DataInventa (66/100), Datafy (66/100), Datazoom (66/100), D.A.W. Systems, Inc. (66/100).
A step up - brands to learn from: Zocket (71/100), ZeroTrusted.ai (71/100).
Category leader: Hostinger (97/100).
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