Quality web data for AI and LLM
Infrastructure for successful data collection
with 15 million IP addresses from 195 countries.
Work with quality data to create AI and LLM models
We are trusted by 70,730 companies and specialists
since 2016
Why Professionals Choose Us
Go Global
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.
Ease of Use and Powerful Capabilities
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.
Bypass CAPTCHAs
Our proxies, by masking IP addresses, circumvent restrictions of systems like reCAPTCHA, making requests indistinguishable from the actions of real users.
This approach significantly increases data collection efficiency. In case of an IP block, the rotation system quickly replaces it with a new one, minimizing downtime.
Reliability Worthy of Trust
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 15 million IP addresses in 195 countries, our clients can efficiently collect data using IP addresses of real users.
The role of proxy when working with data to create AI and LLM
AI and LLM models require a huge amount of data to learn. The data should be diverse and present a wide range of languages, topics, and contexts. Resident proxy servers allow AI models to securely collect data from various sources around the world, bypassing geo-restrictions and locks. Also using resident proxies, AI developers can anonymously collect data, which is critical to protect privacy and prevent blockages by web services.
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.
Data collection for model training
AI and LLM models require a huge amount of data to learn. The data should be diverse and present a wide range of languages, topics, and contexts. Resident proxy servers allow AI models to securely collect data from various sources around the world, bypassing geo-restrictions and locks. Also using resident proxies, AI developers can anonymously collect data, which is critical to protect privacy and prevent blockages by web services.
Optimization of data processing processes
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.
Application in the development of AI and LLM
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.