Thordata, a provider of enterprise-grade proxy and web data infrastructure, announced a major expansion of its global residential proxy network. The upgrade is designed to address the data requirements of large language model (LLM) developers, e-commerce platforms, and data-driven enterprises that need reliable, compliant access to real-time web data.
The enhanced infrastructure now includes over 100 million compliant residential IP addresses spanning more than 195 countries and regions, with city-level and ASN-level targeting capabilities. This expansion aims to bridge the gap between AI and public web data, enabling enterprises to access real-time structured data without technical hurdles like IP blocks or geo-restrictions.
“The next generation of AI and business intelligence depends not just on algorithms, but on the quality and timeliness of the data they ingest,” said Acen, Chief Product Officer at Thordata. “We’re building the data pipelines that let enterprises access this strategic asset at scale—without worrying about technical hurdles like IP blocks or geo-restrictions.”
The upgraded platform provides high-performance data retrieval with sub-500ms response times and a 99.82% connection success rate, ensuring uninterrupted data pipelines for mission-critical applications. Thordata’s infrastructure supports unlimited concurrent sessions and seamless API integration, making it suitable for development teams seeking high-speed global data collection.
Thordata has also emphasized its commitment to ethical compliance and security. The company has implemented rigorous vetting protocols to ensure its network complies with major privacy regulations, including GDPR, CCPA, and KYC standards. This commitment extends to SOC 2 Type 1 certification and a strict zero-data-retention policy, providing enterprise clients with assurance when integrating third-party data infrastructure into sensitive workflows.
“Security and compliance are the foundations of our architecture,” Acen added. “Our clients need more than just proxy services—they need a partner that mitigates risk. Our strict adherence to ethical data acquisition standards provides the data they need while protecting their brand reputation.”
Thordata’s infrastructure is currently deployed across multiple sectors, including AI training data collection, e-commerce intelligence, real-time AI workflows, and continuous model training and validation. One user reported a jump in scraper success rate from 40% to 98% overnight after switching to Thordata’s residential proxy network.
Beyond residential proxies, Thordata offers a comprehensive product ecosystem including a Universal Scraping API, SERP API, Scraping Browser, and Dataset Marketplace. These tools are designed to streamline the data collection lifecycle, with features like AI-powered unblocking, smart IP rotation, browser fingerprint simulation, and JavaScript rendering.
As AI training and real-time applications accelerate, high-quality data has become a critical bottleneck. Thordata provides the robust “plumbing” for the AI economy, bridging the gap between the public web and vector databases. The platform supports MCP, LangChain, and RAG pipelines, enabling AI teams to feed clean, structured web data directly into AI workflows.
“We’ve seen a fundamental shift in how teams think about data ingestion,” said Acen. “It’s no longer an afterthought—it’s critical, production-grade infrastructure. That’s the foundation that lets AI teams build with confidence for the long term.”
For more information, visit Thordata.
