Introducing Bulkgrid: Create a Specialist AI Trained on the Web
AI systems are only as good as the data behind them. But despite all the progress in models, most AI applications still struggle with the same foundational problem: turning messy, ever-changing web content into reliable knowledge.

The web is full of valuable information - documentation, product pages, research, and domain expertise - yet most of it was never designed to be consumed by AI systems. Traditional crawlers often struggle with modern, JavaScript-heavy sites, while raw HTML introduces noise, duplication, and broken structure. Teams end up maintaining fragile pipelines just to keep their data usable, and even then the results are often incomplete or outdated.
Bulkgrid was created to change that. Instead of treating the web as a collection of raw pages, Bulkgrid focuses on transforming public content into structured, domain-specific knowledge. It reliably crawls modern websites, processes dynamically rendered pages, and converts what it finds into clean data that can be indexed, searched, and used directly by AI systems.
This approach enables a different kind of AI. When models are grounded in curated knowledge rather than loosely filtered text, they become more accurate, more consistent, and far easier to trust. The goal isn’t to make AI know everything, but to help it understand the right things deeply.
Specialist AI systems consistently outperform general-purpose ones in real-world applications. They understand the language of a domain, handle edge cases more gracefully, and produce answers that feel grounded rather than speculative. Bulkgrid is designed to make building this kind of specialist AI practical, without requiring teams to assemble and maintain complex crawling and data infrastructure themselves.
Today, Bulkgrid is in early access. We’re focused on building a production-ready platform that prioritizes reliability, quality, and developer experience. If you’re building AI systems that depend on public web data - whether for retrieval-augmented generation, internal knowledge tools, or domain-specific assistants - we’d love to work with you as we continue to shape the product 🚀
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