Data for AI & LLMs
We understand that vast amounts of accurate training data are critical for large language models (LLMs) and other machine learning applications. Our web intelligence solutions simplify large-scale data collection, empowering AI models to deliver greater inference.
102M+ proxy IPs in 195 countries
Scalable real-time data extraction
Ready-to-use datasets
Empower your AI with quality large-scale data
Oxylabs infrastructure is built to handle vast amounts of data, enabling you to focus on what matters most—labeling, training, and fine-tuning cutting-edge AI models—and leaving web data extraction to us.
Web data drives machine learning in top industries
AI development
Acquire training data to power chatbots, virtual assistants, or robotics, as AI development is becoming an industry of its own.
E-Commerce
Feed product and customer behavior data from online marketplaces for competitive intelligence insights.
Cybersecurity
Gather training material for risk detection and mitigation to predict anomalies and respond to cyberattacks.
Brand protection
Train your AI models to recognize and analyze trademark infringement, domain squatting, and counterfeiting.
Marketing and SEO
Collect data from major search engines and train neural networks to excel in SEO, digital marketing, and natural language processing.
Travel and hospitality
Scrape reviews, pricing trends, and travel itineraries to accumulate material for deep learning.
Overcome AI data collection challenges
Multimodal data
With proxies, you can unlock multimodal web data at scale–audio, text, image, and video–for machine learning applications.
Maintenance-free infrastructure
Reduce time and effort with automatization and generalized commands. Let us do the heavy lifting from our end and focus on AI training.
Unlimited scalability
Efficiently discover and extract petabytes of training data tailored to fit the unique depth and breadth of your AI projects.
Data cleaning
With data parsing, get clean, structured, and relevant training data, free from noise and redundant entries, enhancing the reliability of your AI outputs.
Real-time data extraction
Tailor our infrastructure to your specific requirements, ensuring you get the exact data you need in the format you prefer.
Minimal data bias
Access a wide range of data points across various industries and domains, ensuring your AI models are trained on diverse datasets.
Web intelligence solutions for training AI models
Simplify large-scale data extraction and avoid blocks with data gathering tools or increase predictive accuracy with ready-made diverse datasets.
Proxies
Proxies mask the scraper's IP address, distribute requests across multiple IPs, and avoid blocking by target websites.
Residential and Datacenter proxies for any use case
102M+ IPs
195 countries
99.9% uptime
From 8$/month
Web Scraper API
Web scraping services greatly simplify block-free data extraction and deliver structured (parsed) data.
Accurate real-time public web data collection
Large-scale data from almost any website
Automatic data structurization (parsing)
A full range of auxiliary tools
From $49/month
Web Unblocker
The AI-powered proxy solution built to bypass advanced anti-bot systems from the most challenging websites.
Organic user traffic resemblance
Public data from even the most difficult sites
Access to localized content worldwide
Automated unblocking process
From $75/month
Datasets
Web data from almost any public domain delivered at an agreed frequency fully tailored to your AI training needs.
Fresh, clean, and parsed data
Standardized or customized data schema
Data points from the most difficult data sources
Get datasets in CSV or JSON and directly to your cloud
From $1000/month
Custom solutions for high-traffic needs
Oxylabs infrastructure can collect petabytes of multimodal data without IP timeouts. You can customize any of our solutions to fit specific requirements:
Speed
Bandwidth
Scale
In AI training, quantity has a quality on its own, increasing predictive accuracy when provided with more data.
Added benefits
Dedicated account manager
Rest assured that your Dedicated account manager is always there for you.
High success rates
Make the most of the unbeatable success rate to achieve your goals.
Live chat support
Whenever you have questions or need support, we have your back.
Data from 195 countries
Access data from all over the world on a country, state and city level.
Insured award-winning products
Our products are covered by Technology Errors & Omissions and Cyber Insurance.
Certified data centers and upstream providers
All of our products are insured
All of our products are covered by Technology Errors & Omissions (Technology E&O) and Cyber Insurance.
Frequently asked questions
What is training data in AI?
AI training data is the material used to train machine learning models. It's the foundation of any AI model. After studying such data, an AI model can recognize patterns and make predictions.
The quality and quantity of AI training data directly impact the model's performance and accuracy. Properly curated and labeled AI training data helps build reliable systems.
Where to get training data for AI?
AI training requires large volumes of data, disqualifying the traditional hands-on data acquisition methods. Here are the four ways you can source AI training data for machine learning:
Scraping web data with automated means from public websites.
Acquiring AI training datasets from third-party providers.
Generating synthetic training data using graphics engines.
Partnering with businesses willing to share their proprietary data.
See this article about the main public data sources for LLM training to learn more on this topic.
How much training data does AI need?
The actual data volumes for machine learning are highly dependent on the specific use case. The best approach is to start with existing benchmarks and gradually scale up as necessary.
Generally, you can try to predict your AI training data needs.
Small models (simple tasks): 100s to 1,000s of examples:
Spam filters
Website guidance (recommendations)
Voice assistants
Medium models (moderately complex tasks): 10,000s to 100,000s of examples:
Natural language processing (chatbots)
Facial recognition for smartphones
Translators
Large models (highly complex tasks): millions of examples:
Generative AI
Autonomous driving
Robotics
What format is AI training data?
With Oxylabs solutions, you get collected data in either structured JSON or raw HTML format. For datasets, we provide AI training data in the format of your choice.
Scale up your business with Oxylabs®