Quality web data for AI and LLM
Infrastructure for successful data collection
with 22 millions IP addresses from 195 countries.
Work with quality data to create AI and LLM models
Infrastructure for successful data collection
with 22 millions IP addresses from 195 countries.
Work with quality data to create AI and LLM models
In the modern world, where access to information can be restricted due to geographical barriers, our proxy servers provide access to data from leading cities in 195 countries, using IP addresses of real users, facilitating the collection of local information for marketing, SEO, and other tasks.
Proxy.Market's infrastructure offers a convenient personal dashboard interface with traffic monitoring capabilities, quick start guides, and 24/7 support.
For experienced users, an API is available for proxy management, ensuring scalability and precise control.
We continuously work on improving our infrastructure, ensuring 99.8% service availability, low response times, and a 99% success rate for requests.
Thanks to our extensive network of 22 millions IP addresses in 195 countries, our clients can efficiently collect data using IP addresses of real users.
AI and LLM models require vast amounts of data for training. This data must be diverse, encompassing a wide range of languages, topics, and contexts. Residential proxies enable AI models to securely collect data from various sources worldwide. Additionally, by using residential proxies, AI developers can gather data while maintaining confidentiality.
Processing and analysis of huge data sets requires considerable computing resources. Resident proxies help to distribute queries, reducing load on servers and increasing efficiency of data collection.
To create more accurate and unbiased AI and LLM models, it is necessary to minimize data distortion. Proxies help collect data from different sources, providing a more balanced and objective data set.
Proxy servers allow the collection of text data from various sources, which is necessary to create powerful LLM models capable of understanding and generating human language at a high level. And in order for an AI model to interpret queries accurately and provide relevant answers, it must be trained on data that reflect the actual use of language in different contexts. Our resident proxies provide access to such data.
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