Summary
LLM application framework and commercial platform for RAG, document agents, parsing, indexing, extraction and agentic document workflows.
Description
LlamaIndex provides open-source LLM app frameworks and commercial services including LlamaParse, LlamaCloud and document agents. It is strongly positioned around RAG, private data, document parsing/extraction and agentic document workflows.
Positioning
AI agents for document OCR and workflows
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2023
- Employee range
- 11-50 (11-50 / 51-200 range depending source)
- Funding stage
- Series A
- Company type
- Private (Private / open-source commercial)
- Pricing model
- Licensing Open Source (Open-source framework plus credit-based LlamaCloud/LlamaParse pricing and enterprise)
- Last updated
Financials
- Revenue estimate
- Unknown / not publicly disclosed
- Valuation estimate
- Unknown
- Investments
- $27.5M total funding; $19M Series A in 2025
Relationships
- Target customers
- Developers, AI product teams and enterprises using private documents/data with LLMs
- Key competitors
- LangChain, Haystack/deepset, Vellum, LangSmith, Pinecone, Unstructured
- Known customers
- Experian, Delphi, Lyzr and other public case-study customers
Classification (raw research text)
- Core focus
- RAG, document AI and LLM app infrastructure
- Core industry
- Developer Tools / Enterprise AI
- Core category
- RAG and document-agent framework
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Segments, Industries & Certifications
- Segments