Ragie

Ragie is a provider of a fully managed RAG-as-a-Service platform that serves as a context engine for AI agents, assistants, and apps. The platform combines intelligent indexing and retrieval, document parsing, and entity extraction to power AI applications with accurate, reliable context. Ragie builds vector, keyword, and summary indexes from content and handles the full retrieval pipeline at any scale. The platform features Agentic OCR that extracts structured elements from any document including tables, forms, charts, and key-value pairs with precise bounding boxes, entity extraction in plain language, native connectors to Google Drive, Notion, Confluence, and Slack, hybrid search combining three separate indexes, a context-aware MCP server for agent permissioned access, and partitions for secure data isolation by tenant or customer. Ragie handles text, PDFs, images, audio, and video through one unified pipeline. The platform is SOC 2 Type II, GDPR, and HIPAA compliant with 99.9% uptime, supporting cloud, VPC, or on-premises deployment. Use cases span legal research with 5-10x faster drafting, sales tech, productivity, and edtech. Founded in 2024 and headquartered in San Francisco, United States, Ragie has raised approximately 5.5 million at the Seed stage with investors including Craft Ventures, Chapter One, Saga Ventures, Valor Ventures, and Valor Equity Partners.

AI Infrastructure > Machine Intelligence Systems > Machine Learning Platforms > Deep Learning Platforms > Low Code Platforms > Generative AI

Company Wise > Microsoft,

College Wise > Carnegie Mellon University, Stanford University