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Databricks and KPMG have made minority fairness investments in LlamaIndex, a platform for agentic doc workflows. These investments intention to speed up the event and adoption of LlamaIndex’s flagship merchandise, together with the LlamaCloud and LlamaParse.
In a world the place worthwhile enterprise info is buried in unstructured codecs that AI struggles to course of. LlamaIndex is designed to resolve this downside, bridging the hole between legacy information and AI functions.
LlamaParse focuses on extracting machine-readable information from messy paperwork, whether or not it’s authorized recordsdata, invoices, or tables embedded in PDFs. LlamaCloud handles the heavy lifting behind the scenes, managing indexing, embedding, and retrieval at scale so companies can combine this information into AI workflows with out reinventing their infrastructure.
Collectively, these instruments make unstructured information searchable, accessible, and prepared for AI-powered functions, permitting companies to unlock insights from info that was beforehand tough to make use of. As demand for AI-driven automation grows, LlamaIndex is positioning itself on the heart of a necessary transformation in enterprise information intelligence.
Databricks has spent the nice a part of the final decade constructing its Knowledge Intelligence Platform to supply enterprises a unified surroundings for analytics, machine studying (ML), and now GenAI. Nonetheless, for Databricks to actually unlock enterprise-grade GenAI, it must course of unstructured information, which accounts for 80-90% of all enterprise information. Databricks is just not natively optimized for dealing with unstructured information.
LlamaIndex permits Databricks to supply extra superior instruments for dealing with unstructured information. It additionally helps facilitate the event of Retrieval-Augmented Technology (RAG) functions, enabling enterprises to construct AI options that may purpose over complicated paperwork.
Databricks is making its funding by way of the Databricks Ventures AI Fund, a program designed to again startups which are advancing AI or enhancing its capabilities throughout the Databricks Knowledge Intelligence Platform.
The minority stake in LlamaIndex follows a collection of investments in different AI-driven corporations, together with Cleanlab, Mistral AI, and Perplexity. Databricks appears to be eager to solidify its position on the heart of the AI and information ecosystem. It’s utilizing enterprise capital as a strategic lever to help rising applied sciences that align with its broader imaginative and prescient.
For KPMG, LlamaIndex gives the technical spine to deal with unstructured information extra successfully. Like different skilled providers corporations, KPMG works with giant volumes of paperwork, together with audit stories, regulatory filings, contracts, and shopper communications. With LlamaIndex, KPMG may have new instruments to prepare and analyze this information in ways in which might enhance effectivity throughout audits, tax evaluation, and advisory providers.
KPMG’s involvement comes by way of KPMG Ventures, which is targeted on supporting early-stage startups in rising areas reminiscent of agentic AI, information infrastructure, and cybersecurity. The corporate’s funding in LlamaIndex is a part of its broader technique, following earlier investments in AI-focused startups like Ema, Wokelo, and Rhino.ai.
Databricks and LlamaIndex’s funding alerts a broader push to make enterprise information extra accessible. Each corporations see a rising demand for instruments that assist companies extract worth from proprietary information.
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“LlamaIndex’s know-how addresses a vital want within the enterprise AI stack, enabling corporations to rapidly construct production-ready AI functions that leverage their proprietary information,” stated Patrick Wendell, Co-Founder & VP Engineering at Databricks. “This funding aligns completely with our mission to assist prospects drive innovation by way of information intelligence.”
LlamaIndex introduced a $19 million Sequence A funding spherical in March 2025. Whereas the monetary phrases of the most recent investments weren’t disclosed, Co-Founder and CEO Jerry Liu said that the funding will assist LlamaIndex speed up product growth and increase its go-to-market technique.
A key benefit of LlamaIndex is that it doesn’t compete with language fashions. It enhances them by offering the underlying infrastructure that enables giant language fashions to function successfully throughout fragmented and unstructured enterprise information. Its concentrate on infrastructure, relatively than flashy functions, makes it a pure match for main platforms like Databricks.
“As we proceed to innovate and push boundaries in utilized AI, a strong information basis is crucial for constructing efficient AI programs, significantly refined information assistants and agentic options,” stated Swami Chandrasekaran, Principal, AI & Knowledge Labs Chief at KPMG. “LlamaCloud and LlamaIndex present the frameworks essential to entry, curate, and ingest information at scale, enabling KPMG to develop differentiated, industry-specific options that ship measurable enterprise outcomes for our shoppers.”
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