LlamaIndex
LlamaIndex is a San Francisco-based AI platform that uses VLM-powered agentic OCR to convert complex unstructured documents—PDFs, scans, tables, and handwriting—into LLM-ready structured outputs for enterprise customers in financial services, insurance, healthcare, and other verticals.
- Company typePrivate
- Founded2023
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What LlamaIndex does
LlamaIndex, Inc. is a San Francisco-based developer of an AI document-processing platform centered on agentic optical character recognition (OCR). Its commercial product, LlamaParse, uses Vision-Language Models combined with semantic reconstruction, recursive auto-correction loops, and task-specific expert routing to convert complex unstructured documents — PDFs, Office files, scanned images, handwritten notes, tables, and charts — into LLM-ready structured outputs in Markdown, JSON, or HTML. The company serves enterprise customers in financial services, insurance, healthcare and pharma, manufacturing, logistics, and private equity, with named deployments at Jeppesen (a Boeing company), NTT Data, Carlyle, Delphi, and 11x, and reports 1,200+ customer companies and 300,000+ LlamaParse users.
The product portfolio is anchored by the open-source LlamaIndex data framework, which the company reports has been downloaded 25M+ times per month. Commercial products include LlamaParse (agentic OCR), LlamaExtract (schema-based structured extraction), and LlamaCloud (a managed SaaS for enterprise indexing and retrieval-augmented generation, generally available since March 2025). More recent additions include LlamaAgents Builder, a low-code platform launched in February 2026 for building document-processing AI agents, and LiteParse, an open-source TypeScript-native spatial PDF parser released in March 2026. Supporting open-source components include Workflows (event-driven agent orchestration) and Llama-Deploy (microservice deployment tooling). The platform is API-first with Python and TypeScript SDKs, MCP server support, and integrations with MongoDB, Elasticsearch, Amazon Bedrock, Azure AI Foundry, LanceDB, CopilotKit, Composio, and Anthropic's Claude Agent SDK.
LlamaIndex operates a hybrid go-to-market combining product-led growth with an enterprise field-sales motion. The free tier offers 10,000 monthly LlamaParse credits (approximately 1,000 pages) with self-serve sign-up; usage above the threshold converts to a weekly auto-renewing subscription processed via Stripe, while enterprise customers receive dedicated support, a 99.9% uptime SLA, HIPAA/GDPR/SOC2 Type II / CCPA-compliant configurations, and the option of fully in-VPC deployment. Distribution is augmented by strategic cloud, data-platform, and consulting partnerships with Microsoft Azure, AWS, Databricks (also a minority equity investor), and KPMG LLP, supplemented by participation in the 2025 AWS Generative AI Accelerator cohort, the Microsoft Accelerate Together program, and the CB Insights Future Tech Hotshots 2025 list.
LlamaIndex firmographics
Firmographics- Name
- LlamaIndex
- Legal name
- LlamaIndex, Inc.
- Website
- https://llamaindex.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- LlamaIndex is a San Francisco-based AI platform that uses VLM-powered agentic OCR to convert complex unstructured documents—PDFs, scans, tables, and handwriting—into LLM-ready structured outputs for enterprise customers in financial services, insurance, healthcare, and other verticals.
- Ownership category
- akta.pro rank
LlamaIndex industry classification
Industry- Product category
- Enterprise Document AI Platform
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Document Capture, Scanning, OCR/ICR & Intelligent Document Processing (IDP) (HDAEAGAD)
- akta.pro secondary industries
- Intelligent Document Processing (IDP) & OCR Automation (HDAEAHAC), Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG), LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
Keywords
Where LlamaIndex is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
LlamaIndex business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- LlamaCloud Subscription: Recurring subscription billing for LlamaCloud platform usage beyond a free threshold. Subscriptions automatically renew on a weekly basis once usage exceeds the threshold set via the User Account. Includes features like role-based access and SSO.
- Usage-Based Credits / API Pricing: Pay-as-you-go consumption pricing tied to document pages/credits processed through LlamaParse. Free tier of 10,000 credits per month (~1,000 pages) with additional usage metered as Subscription Fees.
- Freemium Self-Serve: Free tier including agentic OCR, structured extraction, and end-to-end document agent deployment for land-and-expand motion. Self-serve sign-up at cloud.llamaindex.cloud with automatic conversion to paid Subscription upon exceeding threshold.
- Enterprise Managed Services & SLAs: Enterprise offerings including dedicated support, fast response SLAs, flexible deployment options (cloud or fully in-VPC for data residency), and HIPAA/GDPR/SOC2 compliant configurations targeting large organizations.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free plan: 10,000 credits/month (~1,000 pages) with agentic OCR, schema extraction, and end-to-end document agents |
| Usage-based | Pay-as-you-go | Premium Subscription: usage-based, billed weekly via auto-renewing Subscription Term |
| Hybrid | Annual | Enterprise tier: custom pricing with dedicated support, SLAs, and flexible deployment (cloud or in-VPC) |
Go-to-market motion4 records
Distribution channels6 records
Marketing channels9 records
LlamaIndex product offering
Product offeringCore offering
LlamaIndex provides an enterprise document AI platform combining the open-source LlamaIndex data framework with the commercial LlamaCloud SaaS. Its flagship LlamaParse uses VLM-powered agentic OCR with auto-correction loops to convert complex unstructured documents (PDFs, Office files, tables, charts, handwriting) into structured Markdown, JSON, or HTML, and serves RAG pipelines, structured extraction, and autonomous document agents for 1,200+ data-driven companies.
Product overview
LlamaIndex operates as a multi-product platform company anchored by the open-source LlamaIndex data framework (trusted by millions of developers and downloaded 25M+ times per month) and the commercial LlamaCloud SaaS knowledge management platform (GA since March 2025). The product portfolio centers on agentic document processing — its flagship offering LlamaParse provides industry-leading OCR and semantic reconstruction of complex documents, with sub-modules for structured extraction (LlamaExtract), enterprise indexing (LlamaCloud Index), document classification, and splitting. The open-source LiteParse library offers local-first PDF parsing, while LlamaIndex Workflows provides event-driven orchestration. LlamaAgents Builder is the low-code platform for deploying document agents. Together, these products span the full document AI lifecycle from parsing and extraction through retrieval-augmented generation (RAG) to autonomous agent deployment, serving 1,200+ data-driven companies and 300k+ LlamaParse users.
Differentiator
Problem solved
Functional benefit
Brands
- LlamaParse: Industry-leading agentic OCR document processing platform for parsing complex documents into LLM-ready structured data (Markdown/JSON/HTML).
- LlamaCloud
- LiteParse
- LlamaAgents Builder
Products and services
- LlamaParse Agentic OCR platform built for semantic reconstruction of complex documents. Turns PDFs, Office docs, tables, charts, handwriting, and images into clean Markdown, JSON, or HTML. Supports 50+ file formats with industry-leading table extraction and self-correction loops for enterprise developers and data teams.
- LlamaExtract Schema-based, LLM-powered extraction agents that turn unstructured document content into structured insights using natural-language rules. No model training required; built for enterprise data extraction workflows.
- LlamaCloud SaaS knowledge management platform for building AI-driven knowledge agents that process unstructured enterprise data. Provides cloud-hosted agents with role-based access control, single sign-on, and integrated LlamaParse document processing. Generally available since March 2025.
- LiteParse Open-source TypeScript-native library and CLI for spatial PDF parsing. Parses text from PDFs, Office docs, and images locally without cloud or LLM tokens, with bounding box output and a two-stage agent pattern for optimizing speed and accuracy.
- LlamaIndex Workflows Open-source event-driven orchestration framework for building complex, multi-step AI applications with state management and agent handoffs, used by the LlamaIndex community for orchestrating AI agents.
- LlamaAgents Builder Low-code platform for creating AI agents that automate knowledge work, initially launched for private equity deal automation. Extracts revenue, EBITDA, and debt levels from documents, classifies investment opportunities, leverages LlamaParse, and supports deployment directly to GitHub.
- LlamaIndex (open-source framework) Open-source Python/TypeScript data framework for building large language model applications over enterprise data, including indexing, retrieval, and agent orchestration components. Trusted by millions of developers worldwide.
- Llama-Deploy Fully open-source deployment framework for deploying LlamaIndex agents as production microservices, enabling operationalization of agent workflows in production environments.
Quantifiable outcome
- 1B+ documents processed
- +7 more outcomes
Companies that use LlamaIndex
Customer profileNamed customers5 records
Segments9 records
Ideal customer profiles5 records
LlamaIndex technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration11 records
AI capability12 records
Feature9 records
LlamaIndex partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core, minor and flagship.
- AnthropiccoreLlamaIndex engineers published a technical tutorial demonstrating an end-to-end PDF question-answering pipeline combining LiteParse, LanceDB, and Anthropic's Claude Agent SDK. The pipeline was evaluated on a 20-question benchmark achieving 84.4% overall accuracy.
- LanceDBcoreLlamaIndex engineers published a joint technical blog post with LanceDB describing an end-to-end PDF question-answering pipeline combining LlamaIndex's LiteParse, LanceDB's multimodal vector database, and Anthropic's Claude Agent SDK, achieving 84.4% overall accuracy across a 20-question test suite.
- AWS (Amazon Web Services)coreLlamaIndex announced participation in an AWS AI Builder Lab event with AICamp in San Francisco on February 13, 2026, focusing on multi-agent AI systems. The event involves collaboration with companies such as Anthropic, Arize AI, and others.
- AICampminorCo-host of AWS AI Builder Lab event with AWS and LlamaIndex in San Francisco focused on multi-agent AI systems developer engagement.
- MongoDBcoreMongoDB announced integration of search and vector search capabilities into MongoDB Community Edition and MongoDB Enterprise Server at its MongoDB.local NYC developer conference. Partners LangChain and LlamaIndex collaborated with MongoDB to validate the new search capabilities in Community Edition.
- CopilotKit (AG-UI Protocol)coreLlamaIndex announced an official integration with AG-UI, a protocol developed by CopilotKit that enables AI agents to interact directly with end users across web apps, desktop applications, or chat interfaces. The integration allows developers to create AG-UI compatible FastAPI routers using a single line of code and access CopilotKit's React components for building agentic frontends.
- Microsoft Azure AI FoundrycoreJoint development of a flagship MCP Sample App powered by Azure AI Foundry and LlamaIndex.TS, demonstrating integration between LlamaIndex's TypeScript framework and Microsoft's Azure AI Foundry platform.
- Microsoft AzureflagshipLlamaIndex announced a strategic partnership with Microsoft Azure to power AI-forward data solutions in May 2025. This followed an earlier LlamaIndex integration with Azure AI (November 2024), positioning LlamaIndex as a data infrastructure provider within the Azure ecosystem.
- ElasticcoreElastic announced its AI Ecosystem designed to help enterprise developers accelerate building and deploying RAG applications on the Elasticsearch vector database. The ecosystem provides pre-built integrations with over 20 technology providers including Google Cloud, Hugging Face, LangChain, Microsoft, Red Hat, and LlamaIndex, covering AI models, cloud infrastructure, MLOps frameworks, and AI security tools.
- GS GroupminorGS Group hosted an AI tech workshop with LLM app developer LlamaIndex in October 2024, opening the AI trend seminar to the public for the first time. Covered by Korean media outlets including The Korea Herald and 매일경제.
- Arize AIcoreArize AI and LlamaIndex rolled out a joint platform for evaluating LLM applications, combining Arize's evaluation/observability capabilities with LlamaIndex's data framework. The partnership was announced via PR Newswire in July 2024.
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
LlamaIndex competitors and assessment
Company assessmentDirect peers
- Unstructured: Unstructured provides a data preprocessing platform that ingests and structures complex unstructured documents (PDFs, images, HTML) for LLM pipelines. It is the closest direct competitor to LlamaParse, targeting the same developer and enterprise use case of converting messy documents into LLM-ready structured data.
- Rossum: Rossum is an AI-native intelligent document processing platform focused on invoice, order, and claims automation for enterprise finance, insurance, and supply chain teams. It competes directly with LlamaParse in IDP for transactional business documents.
- LangChain: LangChain is a leading open-source framework and commercial platform for building LLM applications, including document loading, retrieval, and agent orchestration. It overlaps directly with LlamaIndex's open-source framework and Workflows offerings in the LLM application stack.
- Nanonets: Nanonets is an AI-powered OCR and IDP platform targeting finance, accounting, and operations teams for invoice, receipt, and document automation. It competes with LlamaParse for AI-native document processing budgets in mid-market and enterprise accounts.
Broad incumbents
- ABBYY: ABBYY is a long-established OCR and intelligent document processing vendor serving large enterprises with on-premise and cloud IDP. It competes with LlamaIndex for enterprise document automation budgets, particularly in regulated industries, but with a more legacy positioning.
- Azure AI Document Intelligence: Microsoft's cloud OCR and document AI service is bundled into the Azure ecosystem with strong enterprise distribution. It competes with LlamaParse on price, scale, and integration depth for Microsoft-centric customers, and is a co-sell partner through the Microsoft Azure partnership.
- AWS Textract: Amazon's managed OCR and document extraction service competes with LlamaParse for enterprise document AI workloads on AWS. As an existing partner in the AWS Generative AI Accelerator, AWS represents both a competitor and a distribution channel for LlamaIndex.
- Google Document AI: Google Cloud's document understanding platform offers OCR, form parsing, and specialized processors for enterprise document workflows. It competes with LlamaParse for enterprise GCP customers and represents a comparable hyperscaler IDP offering.
Emerging players
- Glean: Glean is an enterprise AI search and knowledge management platform that ingests unstructured enterprise content to power AI assistants. It overlaps with LlamaCloud's positioning as a knowledge management layer over enterprise unstructured data, particularly for the AI assistant use case.
- Haystack (deepset): Haystack is an open-source framework by deepset for building production RAG and semantic search pipelines over enterprise documents. It is comparable to the open-source LlamaIndex framework in targeting engineering teams building LLM applications over private data.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
LlamaIndex social profiles
Digital presenceLlamaIndex compliance and trust
Trust signalCompliance4 records
LlamaIndex financial estimates
Financial estimateRevenue estimate
Valuation estimate
LlamaIndex leadership team
Management profileNumber of profiles
Profiles2 records
LlamaIndex funding detail
Funding detailFunding overview
Funding rounds5 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
LlamaIndex M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about LlamaIndex
What does LlamaIndex do?
LlamaIndex provides an enterprise document AI platform combining the open-source LlamaIndex data framework with the commercial LlamaCloud SaaS. Its flagship LlamaParse uses VLM-powered agentic OCR with auto-correction loops to convert complex unstructured documents (PDFs, Office files, tables, charts, handwriting) into structured Markdown, JSON, or HTML, and serves RAG pipelines, structured extraction, and autonomous document agents for 1,200+ data-driven companies.
Is LlamaIndex a public or private company?
LlamaIndex is a private company. It is classified as venture growth investor backed and is currently operating.
When was LlamaIndex founded?
LlamaIndex was founded in 2023. It employs 1 to 10 people.
Where is LlamaIndex based?
LlamaIndex is headquartered in San Francisco, United States, in the North America region.
How does LlamaIndex make money?
Four revenue lines are on record. LlamaCloud Subscription is the primary driver. The others are usage-Based Credits / API Pricing, freemium Self-Serve and enterprise Managed Services & SLAs.
Who are LlamaIndex's main competitors?
Direct peers on record are Unstructured, Rossum, LangChain and Nanonets. Broad incumbents are ABBYY, Azure AI Document Intelligence, AWS Textract and Google Document AI. Emerging players are Glean and Haystack (deepset).
Does LlamaIndex have an API?
Yes. LlamaIndex offers multiple developer-facing APIs: LlamaParse API for parsing complex documents into structured Markdown/JSON/HTML, LlamaCloud API for enterprise knowledge management and document indexing, and the open-source LlamaIndex framework. The APIs support document ingestion, agentic parsing, structured extraction, classification, splitting, and indexing workflows. Developer documentation is available at developers.llamaindex.cloud. The LlamaParse SDK is available in Python and TypeScript (via the @llamaindex/liteparse npm package). Pricing is usage-based with a free tier of 10,000 credits per month (~1000 pages). Developer documentation is at developers.llamaindex.cloud.
What industry is LlamaIndex in?
LlamaIndex's product category is Enterprise Document AI Platform. Its primary akta.pro industry code is HDAEAGAD, Document Capture, Scanning, OCR/ICR & Intelligent Document Processing (IDP), with a secondary code of HDAEAHAC, Intelligent Document Processing (IDP) & OCR Automation. Its NAICS code is 5132 and its SIC code is 7372.