LlamaIndex closes $19M in funding to supercharge enterprise-grade knowledge agents

LlamaIndex, an agent development platform for automating knowledge work over unstructured enterprise data, announced it has closed a $19 million Series A round of funding, enabling the company to expand its team and accelerate the development of its core generative AI (GenAI) agent development platform.

The funding round was led by Norwest Venture Partners with participation from existing investor Greylock. This round brings the total funding raised to $27.5 million.

LlamaIndex also announced the launch and general availability of LlamaCloud, a commercial knowledge management platform that powers the GenAI stack with best-in-class end-to-end accuracy for agent workflows over unstructured data.

Built with enterprise-grade reliability, security and scalability, and integrated with LlamaIndex’s open-source framework, LlamaCloud enables users to connect, parse, extract, and index large volumes of unstructured data, including PDFs, PowerPoints, images, charts and more.

According to the company, this approach ensures that enterprise data is accurate and available for a variety of downstream agent use cases, such as document research, automating workflows, synthesizing insights and generating reports.

LlamaIndex was founded in 2023 with the introduction of an open-source project that offered developers a starting point for building any custom agent over data, with tools that include data connectors, indices to structure data and advanced retrieval.

The company also offers commercially available self-serve APIs that enable open-source users to get better data and output quality, including LlamaParse, which helps companies transform unstructured data into a structured format that can be used for retrieval-augmented generation (RAG) applications.

Available now, LlamaCloud can be deployed via SaaS or in a virtual private cloud and is an out-of-the-box solution for building RAG applications from data ingestion through agent deployment.

It offers a library of enterprise-ready data connectors and team features for collaboratively viewing, editing, and deploying indexes. LlamaCloud also delivers enterprise-grade security, using role-based access control (RBAC) and single sign-on (SSO) to gate data access across development teams and end users.

“One of the most valuable use cases for large language model (LLM) agents is automating all knowledge work over unstructured data. Because only fragmented tools around data connectors, storage and agent orchestration have been available, developers struggle finding the right techniques and achieving high accuracy for production-grade agents," said LlamaIndex CEO Jerry Liu. "We made it our mission to deliver the most secure, accurate and easy-to-use platform for building end-to-end knowledge agents, and in the process created a massive community at the epicenter of GenAI. Norwest’s and Greylock’s support in our Series A will allow us to continue growing our reach and enhancing the technology to ensure enterprises can get the most benefits from their AI agents."

For more information about this news, visit www.llamaindex.ai.