LlamaIndex
Research Team Data
Published
AI agents for document OCR and workflows
Company profile
Overview
LLM application framework and commercial platform for RAG, document agents, parsing, indexing, extraction and agentic document workflows.
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.
At a glance
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2023
- Employee range
- 11-5011-50 / 51-200 range depending source
- Funding stage
- Series A
- Company type
- PrivatePrivate / open-source commercial
- Last updated
- Pricing model
- Licensing Open SourceOpen-source framework plus credit-based LlamaCloud/LlamaParse pricing and enterprise
Business context
Financials
- Revenue estimate
- Unknown / not publicly disclosed
- Valuation estimate
- Unknown
- Investments
- $27.5M total funding; $19M Series A in 2025
Market context
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
Source context
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.
Market taxonomy
Segments, Industries & Certifications
Segments
AI WorkflowsAI AgentsAI Developer ToolsKnowledge & RAGDocument AILLM DeploymentAI Quality & ObservabilityAI Governance & RiskAnalytics & BI