Thordata, a provider of enterprise-grade proxy and web data infrastructure, today announced a major expansion of its global residential proxy network, adding tens of millions of IP addresses to address the growing demand for real-time web data in AI and business intelligence. The network now encompasses over 100 million compliant residential IP addresses spanning more than 195 countries and regions, with city-level and ASN-level targeting capabilities.
The upgrade is designed to tackle the critical data hunger challenges facing large language model (LLM) developers, e-commerce platforms, and data-driven enterprises that require reliable, compliant access to real-time web data. In an increasingly data-driven global economy, the ability to access real-time structured data has become the dividing line between market leaders and followers, according to the company.
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. The company is building 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.
In an industry where transparency is often scrutinized, Thordata has positioned itself as a leader in ethical data practices. 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 Thordata's architecture, Acen added. The company's strict adherence to ethical data acquisition standards provides the data clients need while protecting their brand reputation.
Thordata's infrastructure is currently deployed across multiple sectors, delivering measurable results for data-dependent operations. For AI training data collection, the network captures text, image, and video content from diverse websites and platforms in real-time, providing rich training data for AI models. One user reported a jump in scraper success rate from 40% to 98% overnight after switching to Thordata's residential proxy network.
In e-commerce intelligence, the network enables retailers to monitor competitor pricing and inventory across global markets in real-time, supporting dynamic pricing strategies and market positioning. Teams leverage Thordata for live AI applications such as chatbots, recommendation engines, and dynamic pricing systems that need to fetch and process current data from external sources reliably, without being blocked or fed corrupted inputs. Continuous model training and validation are also supported, maintaining a steady stream of fresh, high-fidelity data from target regions or sites to keep models accurate and aligned with real-world conditions over time.
Beyond residential proxies, Thordata offers a full suite of data infrastructure products designed to streamline the entire data collection lifecycle. These include a universal scraping API with AI-powered unblocking, smart IP rotation, browser fingerprint simulation, and JavaScript rendering; a SERP API that delivers real-time search results in pre-structured JSON format with sub-second retrieval latency; a scraping browser that automates CAPTCHA solving, fingerprinting, and IP rotation server-side; and a dataset marketplace providing pre-collected commercial data from over 120 domain sources.
As AI training and real-time applications accelerate, high-quality data has become a critical bottleneck. Thordata provides robust plumbing for the AI economy, bridging the gap between the public web and vector databases. The platform's native support for MCP, LangChain, and RAG pipelines enables AI teams to feed clean, structured web data directly into AI workflows, moving beyond raw HTML and eliminating post-processing overhead.
We've seen a fundamental shift in how teams think about data ingestion, Acen said. It's no longer an afterthought—it's critical, production-grade infrastructure that lets AI teams build with confidence for the long term.
