Bulkgrid
Bulkgrid is a knowledge infrastructure platform that turns selected websites, documents, and GitHub repositories into searchable content for AI agents and applications. It connects to tools like ChatGPT, Claude, and Cursor via MCP, APIs, SDKs, or CLI, with indexed retrieval returning relevant passages with source links in as little as 400 ms. The platform handles ingestion and scheduled refreshes, eliminating the need for teams to maintain their own data pipelines.
- Developer Tools
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI agents and applications that rely on web data face constant pipeline maintenance: scrapers break, websites change structure, and content quickly becomes outdated. Teams spend significant time building and maintaining data pipelines instead of focusing on the products they want to build, and retrieval at query time remains slow and costly.
Solution
Bulkgrid is a knowledge infrastructure platform for AI applications. It turns selected websites, documents, and GitHub repositories into searchable content that applications and agents can retrieve with references to the original sources. Teams choose their sources, organize content into collections, and connect that knowledge to their AI through MCP, APIs, SDKs, or the CLI, while Bulkgrid handles ingestion and scheduled refreshes as sources change. Search and crawl capabilities discover new content at query time, while indexed retrieval returns relevant passages with source links in as little as 400 ms. The platform is designed to ground AI responses in deliberate, traceable information across customer support, coding, and research workflows.
Target Audience
Primary customers are developers building AI applications that depend on specific sources, including documentation assistants, coding agents, customer support tools, and internal knowledge search systems.
Features
- Indexed retrieval that returns relevant passages with source links in as little as 400 ms, versus 10 seconds for fetch-at-query-time workflows
- Connects to AI agents via MCP, including ChatGPT, Claude, and Cursor, plus APIs, SDKs, and CLI interfaces
- Scheduled refreshes of indexed content to keep knowledge current as sources change
- Collection-based organization of public websites, private GitHub repositories, and documents
- Search and crawl capabilities for discovering new content at query time, with web, image, and news search types, localized query options, and result limits up to 10 per search
- Infrastructure includes ingestion, indexing, storage, and retrieval, eliminating the need for teams to maintain their own data pipelines