Ragie
Ragie is the context engine for agents, assistants, and apps. It provides APIs for intelligent indexing and retrieval, document parsing, and entity extraction so developers can connect reliable, structured context from their data to AI applications.
At a Glance
- Startups and small businesses building AI applications
- Enterprise AI teams
- Developers and product teams
- Legal
- +3 more
AI Tools by Ragie
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Ragie
Managed RAG as a Service API
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Products & Services
Managed ingestion, parsing, chunking, indexing, hybrid retrieval, reranking, and APIs for building AI applications over private data.
Agentic OCR and document parsing that extracts structured elements such as tables, forms, charts, key-value pairs, entities, metadata, and bounding boxes from documents.
Fully managed, embeddable connectors that let an application's customers securely connect and manage their own data sources, with automatic syncing, webhooks, page limits, white labeling, and enterprise-scale throughput.
Retrieval with reasoning that decomposes questions, selects search strategies, dynamically plans, evaluates results, and uses feedback loops.
Market Position
Ragie positions itself as a developer-first, fully managed context engine/RAG-as-a-service layer rather than a framework developers must assemble themselves. Its differentiation is an integrated pipeline spanning multimodal parsing, structured extraction, three-index retrieval, reranking, managed connectors, agentic retrieval, and a context-aware MCP server; comparable alternatives include Pinecone Assistant, LlamaCloud, Vectara, Unstructured, LlamaIndex, and LangChain/Pinecone stacks.
Leadership
Founders
Bob Remeika
Co-founder and CEO of Ragie; focused on connectivity and helping companies feed their own data into AI applications.
Mohammed Rafiq
Co-founder and CTO of Ragie; previously Head of Product Engineering at Brex and held engineering leadership roles at Yammer/Microsoft and Bitbucket/Atlassian; also described as a second-time founder.
Executive Team
Bob Remeika
Co-founder and Chief Executive Officer
Ragie co-founder; interested in connectivity and feeding company data into AI applications.
Mohammed Rafiq
Co-founder and Chief Technology Officer
Former Head of Product Engineering at Brex; prior engineering leadership at Yammer/Microsoft and Bitbucket/Atlassian.
Founding Story
Bob Remeika and Mohammed Rafiq began writing Ragie's code on April 1, 2024 after discussing a recurring problem they saw in the market: companies had valuable data, but getting it into AI systems reliably, securely, and usefully was too difficult. Rafiq's consulting work exposed repeated demand for the same infrastructure, while Remeika was interested in connectivity and data-to-AI workflows.
Business Model
Revenue Model
Paid SaaS/API usage model: monthly plans are combined with metered charges for page processing, search and storage, audio/video processing and storage, and connector add-ons; enterprise customers receive custom pricing.
Pricing Tiers
For personal projects or exploring Ragie.
For smaller-scale projects; includes up to 10,000 total page processing and metered overages such as $0.02/page fast or $0.05/page hi-res.
Production-ready for small businesses and startups; includes up to 60,000 total page processing and the same published metered rates as Starter.
Dedicated SLAs and growth-at-scale support; custom processing and usage pricing.
Target Markets
- Startups and small businesses building AI applications
- Enterprise AI teams
- Developers and product teams
- Legal
- Sales technology
- Education technology
- Building agents and assistants grounded in enterprise data
- RAG applications and knowledge-base chat
- Legal research and drafting
- Sales technology and customer-data applications
- Education technology
- Productivity applications
- Ticketmaster
- Ellis
- Glue
- Supercog