HIVE brings in $15M to build physical AI for industrial machines

HIVE enhances the machines its customers already own with sensors and the silicon brain. | Source: HIVE

HIVE today said it has raised a $15 million in pre-Series A investment. The London-based physical AI startup added that it intends to build the intelligence layer for industrial machines.

HIVE said it is building the silicon brain that unifies machine operations through one intelligence platform. The company retrofits existing vehicles to enable them to perceive, decide, and act on their own. It can retrofit vehicles operating in warehouses , production lines, construction sites, and more.

“We’ve spent the past few months securing top international talent to support the next phase of growth,” stated Christoffer Jørgensvaag, co-founder and CEO of HIVE. “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.”

HIVE has offices in Norway and London, and a U.S. expansion is under way. The company has already deployed its technology across several sites in Scandinavia, operating autonomously across different machines.

For example, on Vikafjellet, one of Norway’s most exposed mountain crossings, clearing an avalanche typically meant waiting hours for a geologist to approve the zone before crews could enter. With HIVE’s silicon brain installed, Presis Vegdrift can send in a wheel loader immediately.

HIVE took a standard wheel loader and retrofitted it with its advanced sensor and camera technology, effectively turning it into a remote-supervised machine running the Hive Silicon Brain. Now, instead of sitting inside a vulnerable cab, the operator commands the wheel loader from a safe, remote supervisor room.

SuperSeed led HIVE’s investment round, with participation from Veriten, Skyfall, and Nysnø. Angel investors included Børge Hald, founder of Medallia, and Jørn Lyseggen, founder of Meltwater.

With the investment, HIVE plans to accelerate development of its platform, expand its founding team, and further scale commercial deployments with new and existing industrial partners. The commercial model is built to compound: Each deployed machine hour feeds one large reinforcement loop across the machinery fleet. The startup said it expects the learning loop to drive the productive machine-hour cost down by 80%.

“SuperSeed backs the rare founders who can see a category before it exists and have the technical depth to build it,” said Mads Jensen, a managing partner at Superseed. “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.”