Best AI Training Data Providers in China

Ficstar is a fully managed web scraping and enterprise data extraction company headquartered in Toronto, Canada. Founded in 2005, Ficstar provides end-to-end data collection solutions that handle every aspect of the scraping pipeline — infrastructure, proxy management, data parsing, structuring, and delivery — so enterprise clients receive clean, accurate, real-time data without building or maintaining any in-house scraping systems. Serving 200+ major companies across industries including e-commerce, finance, retail, and market research, Ficstar specializes in large-scale, compliance-conscious web data extraction tailored to each client's specific requirements. Solutions are fully customized, scalable, and designed for seamless integration with existing business intelligence and data workflows. With over two decades of experience, Ficstar is a trusted partner for enterprises that depend on reliable, structured web data to power competitive intelligence, pricing analysis, lead genera

Keymakr provides image and video data annotation, along with data creation, collection, and validation services for AI and machine learning computer vision projects of any scale. The company’s core expertise lies in delivering high-quality training data for multimodal and embodied AI systems, and supporting human-verified annotation and LLM ground-truth validation of model outputs. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. This is why the company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems. To create precise datasets, Keymakr developed Keylabs.ai, a powerful enterprise-grade annotation platform that supports all annotation types. Keymakr also follows strict data security and compliance standards, holds ISO 9001 and ISO 27001 certifications, and maintains GDPR and HIPAA compliance.

Fast, Easy & Scalable Web Scraping. Scrape any website in minutes without coding using our ready made extractors or web based visual point and click tool. Get your Data in 3 easy steps. IDENTIFY. Enter URL, and Identify elements like text & images you would like to extract with our point and click feature. CREATE. Build and configure your extractor to get the data when and how you want it. EXPORT. Get structured data in your chosen format e.g JSON, CSV, XML. How can WebAutomation help your business? No matter your business type or sector, web scraping can help you understand your audience, generate leads or be more competitive with pricing. Online Finance & Investment Research Scrapers Finance & Investment Research. Enhance your financial models and track data to improve performance. Scrape and Aggregate data from… ONLINE. E-Commerce & Retail SCRAPER E-Commerce & Retail Monitor competitors, benchmark pricing, analyze customer reviews and gain competitor& market intelligence.

Bitext provides multilingual, hybrid synthetic training datasets specifically designed for intent detection and LLM fine‑tuning. These datasets blend large-scale synthetic text generation with expert curation and linguistic annotation, covering lexical, syntactic, semantic, register, and stylistic variation, to enhance conversational models’ understanding, accuracy, and domain adaptation. For example, their open source customer‑support dataset features ~27,000 question–answer pairs (≈3.57 million tokens), 27 intents across 10 categories, 30 entity types, and 12 language‑generation tags, all anonymized to comply with privacy, bias, and anti‑hallucination standards. Bitext also offers vertical-specific datasets (e.g., travel, banking) and supports over 20 industries in multiple languages with more than 95% accuracy. Their hybrid approach ensures scalable, multilingual training data, privacy-compliant, bias-mitigated, and ready for seamless LLM improvement and deployment.

The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.

Shaip offers end-to-end generative AI services, specializing in high-quality data collection and annotation across multiple data types including text, audio, images, and video. The platform sources and curates diverse datasets from over 60 countries, supporting AI and machine learning projects globally. Shaip provides precise data labeling services with domain experts ensuring accuracy in tasks like image segmentation and object detection. It also focuses on healthcare data, delivering vast repositories of physician audio, electronic health records, and medical images for AI training. With multilingual audio datasets covering 60+ languages and dialects, Shaip enhances conversational AI development. The company ensures data privacy through de-identification services, protecting sensitive information while maintaining data utility.

DataOcean AI is a leading provider of high-quality, labeled training data and comprehensive AI data solutions, offering over 1,600 off‑the‑shelf datasets and thousands of customized datasets for machine learning and AI applications. Dataocean's offerings cover diverse modalities (speech, text, image, audio, video, multimodal) and support tasks such as ASR, TTS, NLP, OCR, computer vision, content moderation, machine translation, lexicon development, autonomous driving, and LLM fine‑tuning. It combines AI-driven techniques with human-in-the-loop (HITL) processes via their DOTS platform, which includes over 200 data-processing algorithms and hundreds of labeling tools for automation, assisted labeling, collection, cleaning, annotation, training, and model evaluation. With almost 20 years of experience and presence in more than 70 countries, DataOcean AI ensures strong quality, security, and compliance, serving over 1,000 enterprises and academic institutions globally.

Synetic AI is a platform that accelerates the creation and deployment of real-world computer vision models by automatically generating photorealistic synthetic training datasets with pixel-perfect annotations and no manual labeling required, using advanced physics-based rendering and simulation to eliminate the traditional gap between synthetic and real-world data and achieve superior model performance. Its synthetic data has been independently validated to outperform real-world datasets by an average of 34% in generalization and recall, covering unlimited variations like lighting, weather, camera angles, and edge cases with comprehensive metadata, annotations, and multi-modal sensor support, enabling teams to iterate instantly and train models faster and cheaper than traditional approaches; Synetic AI supports common architectures and export formats, handles edge deployment and monitoring, and can deliver full datasets in about a week and custom trained models in a few weeks.

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Dataset Finder is an all-in-one workspace for AI training data. It enables AI engineers, researchers, startups, and enterprise teams to search tens of thousands of curated datasets using natural language, evaluate datasets across 30+ criteria including quality, licensing, bias, labels, and fine-tuning readiness, and organize their data into projects and collections. Beyond dataset discovery, Dataset Finder provides training data inventory and lineage capabilities, reusable AI training recipes, and on-demand custom data annotation backed by Innovatiana. The platform is designed to bring dataset discovery, evaluation, organization, governance, and custom data creation into a single workspace—helping teams spend less time searching and managing data and more time building AI.