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High Tech Series A Founded 2023

LlamaIndex

LlamaIndex is an AI infrastructure company that provides a data framework and document processing platform for connecting data sources to large language models. The company's flagship product, LlamaParse, is an industry-leading document processing solution powered by VLM-based agentic OCR that turns hours of manual document processing into seconds of automation. LlamaParse handles 50+ unstructured file types…

📍 San Francisco, United States · AI Infrastructure,

Funding snapshot

Last roundSeries A
Amount$28M
Date2 May 2025
Total raised$28M
Team size105

About

LlamaIndex is an AI infrastructure company that provides a data framework and document processing platform for connecting data sources to large language models. The company's flagship product, LlamaParse, is an industry-leading document processing solution powered by VLM-based agentic OCR that turns hours of manual document processing into seconds of automation. LlamaParse handles 50+ unstructured file types including complex layouts, multi-page tables, embedded images, and handwritten notes, with capabilities for parsing, extraction, indexing, splitting, and classification. The platform uses specialized expert agents that break down content such as text, charts, and tables, routing it to the right processor with auto-correction loops for high accuracy. LlamaIndex also offers LiteParse, an open-source local document parsing tool, and the LlamaIndex framework for building end-to-end document agents. The platform has processed over 1 billion documents, has 25M+ monthly package downloads, and serves 300k+ LlamaParse users. It is HIPAA, GDPR, and SOC2 compliant with flexible deployment options including VPC. Founded in 2023 and headquartered in San Francisco, California, LlamaIndex has raised $27.5M in Series A funding from investors including Greylock Partners, Norwest, Databricks, and KPMG.

Business model

AI Infrastructure > Open Source > DL Frameworks and Libraries

Founders & team highlights

Serial Founder

Team background

College Wise > National University of Singapore (NUS), University of Toronto, University of Waterloo

Institutional investors

Greylock Partners Norwest Databricks KPMG Lenny Rachitsky Mathilde Collin Raquel Urtasun Joey Gonzalez Bob Van Luijt Paul Copplestone

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