Nvidia acquires predictive AI startup Kumo for over $400 million According to Beating monitoring, Nvidia has acquired Kumo AI, a five-year-old predictive artificial intelligence startup, for a transaction amount reportedly exceeding $400 million. The acquisition aims to utilize Kumo's predictive big model to provide structured data based predictive analysis services for enterprise clients. Kumo's three co founders, including Vanja Josifovski, former Chief Technology Officer of Pinterest, Jure Leskovec, a professor at Stanford University, and Hema Raghavan, former AI director at LinkedIn, joined Nvidia in May 2026. Enterprise structured data consists of multiple interrelated data tables, which are generally difficult to be directly parsed by large language models. Kumo combines graph machine learning techniques with synthetic data generated in simulated enterprise environments to train proprietary large models that can predict customer churn rates or payment defaults, thereby achieving intelligent prediction of enterprise data warehouses. Nvidia may integrate Kumo's technology into AI Foundry software services to assist enterprises in combining private data with domain knowledge to customize proprietary models that fit business scenarios. In April 2026, Kumo released its latest predictive model KumoRFM-2. Currently, Kumo's partners and clients include DoorDash, Reddit, VNet, Snowflake, and other enterprises. Compared to the $20 billion acquisition of Groq inference chip technology authorization by the end of 2025, Nvidia prefers small and medium-sized transactions in mergers and acquisitions. According to securities regulatory documents, Nvidia's cumulative acquisition expenses over the past five years are approximately $3 billion. [Original link]