AI Training Data Collection Proxies

XoProxy provides residential proxies and static residential IPs to power scalable AI/LLM training data pipelines. Target 190+ countries/regions, choose rotating or sticky sessions, run high-concurrency scraping, and reduce challenges, blocks, and throttling—so your sources stay stable and your success rate stays high.

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Residential Proxies for High-Concurrency Scraping: Fewer Blocks, Higher Success Rates

XoProxy AI Training Data Collection Proxies

Use global residential IPs and static residential egress to build a locatable, scalable, and controllable collection channel for long-running LLM training datasets and high-concurrency extraction.

Always-On Collection

Keep your data pipeline running with high-anonymity residential egress, plus health monitoring and retry strategies to reduce downtime caused by CAPTCHAs, blocks, and rate limits.

Global geo-targeting and localized datasets

Localized Data at Scale

Target 190+ countries/regions with multi-carrier egress to collect localized content and cross-market behavior signals—ideal for building multilingual, multi-scenario training datasets.

High-Concurrency Sessions

Choose rotating or sticky sessions to support high-concurrency requests and batch scraping. Balance throughput and stability to improve overall success rates and usable data yield.

Enterprise-grade security and high availability

Secure, Highly Available

Enterprise-grade security architecture and availability monitoring help ensure stable connections and long uptime—well-suited for long-cycle model training, data cleaning, and continuous incremental updates.

Industry Partnerships & Trust

We work with global partners to maintain node quality and deliver proxy network capabilities you can validate and sustain.

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See What Customers Are Saying

In cross-border eCommerce scraping, exit-IP drift caused constant verification and blocks. After moving to static IPs, egress stayed consistent, sessions stabilized, and retries dropped. With paced requests, our connection success rate improved materially fast.

Alex Walker

Across multiple ad accounts, rotating exits repeatedly triggered ‘abnormal login’ warnings and forced rechecks. Using fixed static IPs, risk alerts fell, logins stayed clean, and campaign delivery schedules became predictable again for our team.

Michael Carter

With staff spread across cities and stores, shared access often tripped security prompts when IPs changed. Keeping a consistent pool of static IPs made backend checks uniform, reduced challenges, and streamlined operations for everyone.

Emily Johnson

For price monitoring, sites are sensitive to bursty, frequent requests and quickly raise defenses. Pairing static IPs with time-sliced crawling produced steadier traffic, fewer alerts, and more complete datasets without sacrificing coverage over time.

Sophia Reed

Our platform requires a fixed egress IP for allowlisted access. After adopting static IPs, we stopped updating allowlists every week. Ops workload dropped, audits became simpler, and we rolled out role-based access with confidence.

Daniel Brooks

For multilingual localization testing, long-term regional consistency matters more than raw speed. With fixed static IPs, we could reproduce results across runs, isolate location issues faster, and resolve bugs without guessing the endpoint anymore.

Natalie Parker