Thordata
Fuel AI training with high-quality, scaled data via proxies
460 followers
Fuel AI training with high-quality, scaled data via proxies
460 followers
As AI training and real-time applications accelerate, high-quality data has become a critical bottleneck in the age of artificial intelligence. Thordata provides residential, mobile, and data center proxy infrastructure for AI teams and data-driven businesses, enabling reliable global web data collection, responsible regional access, and smoothly scalable long-term data pipelines. From the very beginning, Thordata has focused on performance, stability, and compliance.
Thordata
Hi everyone, I’m Kevin, one of the founders of Thordata.
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We’re in a moment where AI models and applications are moving fast -- but high-quality, usable web data hasn’t kept up. Many teams can technically scrape data, but quickly run into instability, scale limits, or trust issues.
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For AI teams, data isn’t just about access. It has to be sustainable, commercial-ready, and reliable over time. If your data pipeline breaks every few weeks, or creates compliance risks, the whole system fails.
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Thordata provides proxy infrastructure designed for real AI and developer workflows -- from global data collection to long-running pipelines that need consistency, speed, and control.
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Today, our users include:
AI companies that need to build training datasets.
Data teams running global market intelligence.
Developers maintaining large-scale web data pipelines.
One thing we care deeply about:
Compliance isn’t a feature for us -- it’s a design principle. From how our IP resources are sourced to how traffic is managed, responsible and compliant data access has been built into Thordata from the very beginning.
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We’re excited to share Thordata with the PH community and would love your feedback.
Try it here:https://www.thordata.com
@cao_kevin This is a really strong launch especially the emphasis on compliance as a design principle, not a checkbox.
One thing I’ve seen with proxy + AI data infra at scale is that abuse, fingerprinting, and reputation poisoning often show up long before teams notice them internally especially once customers start running long-lived pipelines and multi-step workflows.
I work on adversarial testing for proxy and data infrastructure (API abuse, bot-detection exposure, denial-of-wallet, compliance edge cases). If it’s useful, I’d be happy to do a free, private stress-test of Thordata’s proxy & API surface and share findings purely as feedback.
Either way, great to see infra being built with sustainability in mind this is exactly what AI teams need as they move from experiments to production.
Congrats on the launch!
Web data collection at scale is never trivial, and it’s great to see a solution built specifically for AI training and production use cases rather than generic scraping needs.
Thordata
@sandy_liusy Hi, Kevin here — thank you so much!
You’ve absolutely nailed the core challenge: scaling web data collection for AI isn’t just about “more proxies,” but about reliability, structure, and clean data pipelines that fit into real training workflows. That’s exactly why we built Thordata — not as another scraping tool, but as infrastructure for teams that depend on data to move fast and build intelligently.
We’d love to hear more about your use case if you’re open to sharing. And if you’re testing data collection for AI, feel free to try Thordata — the team’s here to help you run smoothly. 🚀
Thordata
@sandy_liusy You’re right: production-scale AI data collection brings unique demands — consistency, geo‑coverage, anti‑blocking resilience, and compliance. We designed Thordata’s proxy networks and routing logic specifically to handle those nuances, so engineers and data scientists can focus on their models, not on fighting with flaky pipelines.
@sandy_liusy Appreciate the kind words!
This product came directly from seeing teams struggle once they moved from experiments to real AI workloads. Scaling data reliably over time is hard, and we wanted to build something that actually holds up in production.
Thordata
@jeffrey_claxton We handle the infrastructure, so you can focus on innovation. That "set-it-and-forget-it" reliability is what we're here to provide.
@jeffrey_claxton Well put. A lot of teams can build something themselves, but the long-term cost usually isn’t worth it. That’s the gap we’re trying to close.
@jeffrey_claxton Exactly — most teams don’t want to become proxy or scraping experts.
Offloading that complexity lets them focus on actually building products instead of maintaining data plumbing.
Thordata
@dubd59 Thank you for that insightful observation—you're right. The pace of change, especially with AI, is relentless. That's precisely why we built Thordata not as a rigid tool for today's specific problems, but as fundamental infrastructure.
Infrastructure adapts. Whether you're feeding an AI model, building a marketplace, or powering a design tool—the need for clean, reliable, and compliant access to real-world data is a constant. We focus on solving that timeless, foundational problem so that you can build whatever comes next, with confidence.
The goal isn't to never become obsolete; it's to be the resilient layer that ensures whatever you build on top of us never does.
@dubd59 Agreed. Models and tools evolve fast, but data infrastructure needs to be durable. That’s the layer we’re focused on building.
@dubd59 Totally get this sentiment. That’s why infra that’s flexible and stable matters — models and tools will change, but teams will always need reliable, high-quality data underneath.
Congrats on the launch! Do I understand right that your product is more for enterprises?
Thordata
@pasha_tseluyko Thank you for the congratulations and for asking this important question.
While our infrastructure naturally serves demanding enterprise use cases, Thordata was fundamentally built for any serious professional or team whose work depends on reliable data. We serve individual developers, growing startups, and large corporations alike—anyone who views data integrity as critical and values a "set it and forget it" solution.
@pasha_tseluyko Great question. We’re used by enterprises, but Thordata isn’t only for them. It’s designed for teams that need production-grade, long-term data pipelines — whether that’s a startup scaling up or a larger organization.
@pasha_tseluyko Many of our users are enterprise teams, but Thordata is also used by smaller AI and data teams who need production-grade reliability without building everything in-house. We’re focused more on serious, long-term use cases than company size.