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Nvidia snaps up Kumo AI in latest acquisition | Fortune
Nvidia has acquired Kumo AI, a small, four-year-old startup that develops foundation models designed to make accurate business predictions, according to two sources familiar with the deal. Kumo's three co-founders, Vanja Josifovski, Hema Raghavan, and Jure Leskovec, transitioned to Nvidia last month, the sources said. While the founders' LinkedIn profiles have been updated, and now describe them as Nvidia employees, the Kumo website makes no mention of the change. The financial terms of the deal could not be learned. Nvidia, which has acquired numerous AI startups in recent years, declined to comment. The Mountain View, Calif-based startup had received $37 million in venture capital funding in two 2022 rounds from investors including Sequoia Capital. Its models have been used so far by companies including food delivery app DoorDash, Reddit, and U.K. grocery chain Sainsbury's. As Fortune's Jeremy Kahn reported last year, Kumo's RFM model could do far more than traditional, time-consuming predictive analytics. The model could instantly tackle predictions around everything from customer churn to credit default risk without any additional training. "With the foundation model, you point it to your data, you define what you mean by churn, and a second later, you get the prediction," Jure Leskovec, the Stanford University computer scientist who cofounded Kumo in 2022 and served as its chief scientist, told Kahn at the time. Nvidia has been on an M&A spree of over 100 startups over the past couple of years, as it looks to fill in its full-stack AI ecosystem. Notably, Nvidia acquired key technology assets and plucked key personnel from AI inference company Groq in a $20 billion "acqui-hire" agreement in December 2025. It also acquired data semantics company Illumex in February 2026, and spent $700 million to acquire orchestration software company Run.ai in April 2024.
[2]
Nvidia Pays $400 Million for AI Software Firm Kumo | PYMNTS.com
The report, which cited an unnamed source, characterized the deal as something of a departure for Nvidia, which has invested heavily in open-weight models, while Kumo's are proprietary. They're designed to answer questions on structured business data, like customer information and payment data, which are typically tougher for AI models to decipher. It's not clear how Nvidia would use Kumo's models, the report said, positing that the company could employ them in its AI Foundry software, designed to help companies build custom AI models. In addition, Nvidia could use Kumo's researchers to help create new, business-centric Nvidia foundation models. Kumo's founders include Vanja Josifovski, former chief technology officer at Airbnb; Jure Leskovec, a Stanford University computer science professor; and Hema Raghavan, a former AI lead at LinkedIn. All three have been working at Nvidia since May. The acquisition is in keeping with Nvidia's history of small-scale deals, with the $5 trillion company having spent around $3 billion on acquisitions in the last five years, according to the report. In late 2025, the company agreed to pay $20 billion to license technology from Groq, an inference chip designer. In other Nvidia news, the company partnered with Microsoft to create Windows PCs built for agentic computing. Shipping this fall, these laptops and compact desktops will be powered by Nvidia's new superchip and designed to run AI agents directly on the device. "The pitch to enterprise buyers is straightforward," PYMNTS reported Monday (June 1). Keep the data, the decisions and the agents inside the building. For enterprise buyers, the case centers on what stops leaving the building. Agents running locally can work across files, calendars and internal applications without sending data to a third-party server, cutting the latency, privacy exposure and usage costs that come with constant cloud inference." The partnership is part of an agent push Nvidia began in March, when it introduced NemoClaw. This is an enterprise-hardened version of OpenClaw that adds security controls, policy enforcement and audit capabilities for businesses in regulated industries. For all PYMNTS AI coverage, subscribe to the daily AI Newsletter.
[3]
Nvidia buys enterprise AI firm Kumo for at least $400 mln- The Information By Investing.com
Investing.com -- Nvidia has acquired Kumo AI, a startup that sells predictive enterprise AI software, for more than $400 million, The Information reported on Wednesday, citing a person with knowledge of the deal. The deal will expand Nvidia's collection of AI models that can be optimized for Nvidia hardware and offered to enterprises for additional customization. The acquisition comes after Nvidia unveiled a host of new AI software and hardware products during the COMPUTEX conference in Taiwan earlier this week. Chief among the new reveals was a line of new CPU chips for PCs. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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Nvidia has purchased Kumo AI, a four-year-old startup specializing in predictive enterprise AI software, for more than $400 million. The acquisition brings foundation models designed for structured business data analysis into Nvidia's portfolio. Kumo's three co-founders have already transitioned to Nvidia, signaling the chip giant's continued expansion into full-stack AI solutions.
Nvidia has acquired Kumo AI, a Mountain View-based startup that develops foundation models for business predictions, in a deal valued at more than $400 million
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. The four-year-old AI software firm Kumo specializes in predictive enterprise AI software designed to analyze structured business data, including customer information and payment data that traditional AI models struggle to process effectively2
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Source: PYMNTS
Kumo AI's three co-founders—Vanja Josifovski, former chief technology officer at Airbnb; Jure Leskovec, a Stanford University computer science professor; and Hema Raghavan, a former AI lead at LinkedIn—transitioned to Nvidia last month
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. While their LinkedIn profiles now list them as Nvidia employees, the Kumo website has not yet acknowledged the change1
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Source: Fortune
The deal marks a strategic shift for Nvidia, which has traditionally invested heavily in open-weight models. Kumo's proprietary technology represents a departure from this approach, offering specialized capabilities for enterprise AI applications
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. The startup had raised $37 million in venture capital funding across two rounds in 2022 from investors including Sequoia Capital1
.Kumo's technology has already proven valuable to major companies including DoorDash, Reddit, and U.K. grocery chain Sainsbury's
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. The startup's RFM model can instantly tackle predictions around customer churn and credit risk without additional training, a significant improvement over traditional, time-consuming predictive analytics1
."With the foundation model, you point it to your data, you define what you mean by churn, and a second later, you get the prediction," Leskovec explained in a previous interview
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.While Nvidia declined to comment on the acquisition, industry observers speculate the company could deploy Kumo's models within its AI Foundry software, designed to help companies build custom AI models
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. Nvidia could also leverage Kumo's researchers to develop new, business-centric foundation models optimized for Nvidia hardware3
.This acquisition continues Nvidia's M&A spree of over 100 startups in recent years as it builds out its full-stack AI ecosystem
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. The $5 trillion company has spent approximately $3 billion on acquisitions over the last five years2
. Notable recent deals include a $20 billion agreement with AI inference company Groq in December 2025, the acquisition of data semantics company Illumex in February 2026, and a $700 million purchase of orchestration software company Run.ai in April 20241
.Related Stories
The Kumo acquisition arrives alongside Nvidia's partnership with Microsoft to create Windows PCs built for agentic computing, shipping this fall
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. This initiative complements Nvidia's March introduction of NemoClaw, an enterprise-hardened version of OpenClaw that adds security controls and policy enforcement for businesses in regulated industries2
.The timing also aligns with Nvidia's unveiling of new AI software and hardware products at the COMPUTEX conference in Taiwan, including a line of new CPU chips for PCs
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. For enterprise buyers, the combined capabilities offer the ability to run AI agents locally, keeping data and decisions within their own infrastructure while reducing latency, privacy exposure, and cloud inference costs2
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