HIVE raises $15M to develop physical AI for industrial machinery
HIVE announced today that it has secured $15 million in a pre-Series A funding round. The London-based physical AI startup is building what it calls the "silicon brain" for industrial machines—a unified intelligence platform that retrofits existing vehicles to operate autonomously in warehouses, production lines, construction sites, and other environments.
The company’s technology enables vehicles to perceive their surroundings, make decisions, and act without human intervention. Co-founder and CEO Christoffer Jørgensvaag said the company has been recruiting top international talent to support its next growth phase. "The silicon brain is taking shape. With live deployments and strong market traction, we are well positioned to lead the next era of physical AI, proving real results for our customers," he stated.
Silicon brain already at work
HIVE maintains offices in Norway and London, and is currently expanding into the United States. Its technology is already deployed across several Scandinavian sites, operating autonomously on a range of machines.
A notable example is on Vikafjellet, one of Norway’s most exposed mountain crossings. Normally, clearing an avalanche required waiting hours for a geologist to approve the zone before crews could enter. HIVE retrofitted a standard wheel loader with advanced sensors and cameras, turning it into a remote-supervised machine running the Hive Silicon Brain. Now, the operator commands the loader from a safe remote room instead of sitting inside a vulnerable cab. Presis Vegdrift, the operator, can send the wheel loader into action immediately.
Future plans and investor confidence
SuperSeed led the investment round, with participation from Veriten, Skyfall, and Nysnø. Angel investors include Børge Hald, founder of Medallia, and Jørn Lyseggen, founder of Meltwater.
HIVE plans to use the capital to accelerate platform development, expand its founding team, and scale commercial deployments with new and existing industrial partners. The company’s commercial model is designed to compound: every deployed machine hour feeds a large reinforcement learning loop across the machinery fleet. According to HIVE, this learning loop is expected to reduce productive machine-hour costs by 80%.
Mads Jensen, a managing partner at SuperSeed, commented: "SuperSeed backs the rare founders who can see a category before it exists and have the technical depth to build it. HIVE’s silicon brain is powerful enough to retrofit existing industrial fleets, and the intelligence compounds in value with every hour it runs. That is the defining wave of physical AI for the next decade."
The source for this article is https://www.therobotreport.com/hive-brings-in-15m-to-build-physical-ai-for-industrial-machines/.