Thordata - Fuel AI training with high-quality, scaled data via proxies

@cruise_chen Thank you. This is precisely why we engineered the automation into our system. We believe professionals like you should spend time on analysis, not on maintenance. Your time is your most valuable asset.

@cruise_chen Really appreciate this feedback. We intentionally designed Thordata to remove the repetitive, time-consuming parts of managing proxies.

@cruise_chen Love hearing this.
Reducing operational friction is underrated — teams shouldn’t have to babysit infrastructure just to keep data flowing.

@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.

@anya_furnishd Thank you so much for this incredibly thoughtful perspective. You've beautifully articulated a vision we hold deeply: that robust data infrastructure shouldn't just exist for "tech" in the abstract, but to empower all disciplines—including and especially creative ones like yours.

@anya_furnishd Thank you for such a thoughtful perspective. You’re exactly right — regardless of the industry, once a product depends on real-time, region-specific data, reliable and compliant access becomes foundational. That’s the core problem we’re aiming to solve across many different use cases.

@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.

@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.

@shemith_mohanan This resonates a lot. From what I’ve seen, teams use it for things like real-time pricing signals, monitoring market changes, or feeding live context into AI systems — stability matters way more there than just raw access.

@shemith_mohanan In practice, teams use Thordata in two key ways for real-time AI:

1. For live AI applications: Powering customer-facing tools (like chatbots, recommendation engines, or dynamic pricing systems) that need to fetch and process current data from external sources reliably, without being blocked or fed corrupted inputs.

2. For continuous training/validation: 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—turning a static model into a living system.

It ultimately comes down to treating data ingestion not as an afterthought, but as critical, production-grade infrastructure. That’s the foundation that lets AI teams build with confidence for the long term.

@ramesh_cool_foru That's a crucial question that gets to the heart of building effective AI. Thordata provides real-world web data, which is fundamentally different from synthetic data, but in a way that makes them perfect complements, not competitors.

In short:

• Thordata delivers the authentic, messy, and nuanced reality of the web as it exists today—prices, reviews, articles, and market trends from actual websites.

• Synthetic Data is algorithmically generated information designed to mimic the statistical properties of real data, often used to fill gaps, protect privacy, or simulate rare scenarios

@gheht_wjett Thank you for sharing this honest feedback. I hear your concerns, and I take them very seriously.

You've pointed out something critical: the difference between having a service that works and one that earns your full trust. While many teams rely on us daily for their critical data pipelines, I understand that inconsistent support experiences and a lack of transparent company information can rightly undermine confidence.

We are actively working to close this gap. In the coming weeks, we will publish clearer company information, detailed service policies, and a more robust FAQ section. Our goal is to ensure our operations are as reliable and transparent as our proxy network.

For any past issues with support, I sincerely apologize. We are expanding our team to ensure faster, more effective responses. If you have an ongoing concern or would like to discuss this further, please feel free to message me directly here.

Building long-term trust is our most important task, and feedback like yours is essential to that process. Thank you again.

@rachit_nigam I appreciate you highlighting that balance — it's exactly the challenge we built Thordata to solve. For AI teams, performance is pointless without reliability, and scale is risky without compliance. We're committed to providing that responsible foundation. If your work involves data collection for AI, I'd be keen to hear about your use case and how we can support it.

@eeeeeach If you have a moment, I'd be curious to know what specific markets or verticals you focus on. Hearing about your data needs helps us ensure we're building the right features for experts like you.