Use Cases / AI & Machine Learning

AI & ML Training Data Proxy Solutions

Efficiently collect diverse, high-quality training datasets for LLMs and machine learning projects. Access multilingual, multi-regional authentic data through global proxy networks to eliminate data bias and boost model performance.

200+
Data Source Regions
99.9%
Success Rate
<0.5s
Avg Response
No Concurrency Limits

Why Do You Need Proxies for AI Data Collection?

High-quality AI models need large-scale, diverse training data — proxies are key to efficiently accessing authentic global data

Multilingual Data Collection

Collect text data from websites in different language environments worldwide, building rich corpora for multilingual model training. Coverage of 100+ languages of authentic web content.

Eliminate Data Bias

Data from a single region leads to model bias. Collect data from different cultural, social, and economic backgrounds through global proxy networks to build more balanced, fair training datasets.

Image & Media Collection

Collect images, video thumbnails, and multimedia content at scale for diverse visual training data for computer vision models. Proxies ensure block-free high-speed downloads.

Structured Data Extraction

Extract structured data from knowledge bases, encyclopedias, and specialized databases to build high-quality training sources for knowledge graphs and Q&A systems.

Start Collecting in 3 Steps

From sign-up to building your AI training data pipeline in just minutes

1

Choose a Plan

Select residential or datacenter proxies based on data volume and target regions — residential recommended for large-scale collection

2

Configure Data Pipeline

Set target data sources, language regions, and collection rules — integrate proxies into your data collection framework

3

Build Training Datasets

Automate collection, cleaning, and labeling workflows to continuously supply your AI model with fresh, diverse training data

Core Advantages

Global Data Diversity

Collect authentic data from 200+ regions with diverse cultural backgrounds, languages, and consumer habits. Data diversity is the foundation for training unbiased, highly generalizable AI models.

High-Throughput Collection

AI model training requires massive amounts of data. Our infrastructure supports large-scale concurrent connections and high-speed data transfer with smart IP rotation, letting you collect millions of records at maximum speed.

High-Quality Authentic Data

Residential proxies deliver unfiltered, original data from each region, avoiding data distortion caused by geo-restrictions or content personalization. Ensure your training data authentically reflects internet diversity.

FAQ

AI model quality depends on training data diversity and quality. Proxies let you collect data globally, accessing multilingual, multicultural authentic content while avoiding data bias from geographic restrictions and content personalization — resulting in more accurate, fairer models.
No limits. Our infrastructure supports massive concurrent connections with no restrictions on request volume or data transfer. Whether you need millions or billions of records, we've got you covered.
Our proxies support standard HTTP/HTTPS/SOCKS5 protocols, compatible with Python's Scrapy, Requests, aiohttp, Node.js's Puppeteer, Playwright, and any data collection tool or custom script that supports proxy configuration.

Ready to Fuel Your AI Project with Training Data?

Sign up for free trial credits and start building your high-quality AI training data pipeline

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