Robotics startup HIVE raises £11.2m led by SuperSeed with Veriten
This article covers HIVE, a robotics startup, which has raised £11.2m in a seed funding round to build a "silicon brain" software and sensor layer that retrofits industrial machines so they can perceive, decide and act. The funding is intended to accelerate platform development and commercial rollouts that support industrial operators and fleets of legacy machines in warehouses, production lines and construction sites.
HIVE, a robotics startup based in London, has raised £11.2m in a seed funding round to build what it describes as a “silicon brain” — a software and sensor layer that retrofits industrial machines so they can perceive, decide and act. The raise matters because it underlines continued investor interest in physical AI that upgrades existing equipment rather than replacing fleets, and it signals a push by European hardware-heavy startups to commercialise autonomous operations at scale.
Why it matters
Industrial operators often face high costs and safety risks when introducing automation: buying new hardware is expensive, and manual tasks in exposed environments remain hazardous. Retrofitting existing vehicles with sensors and centralised intelligence offers a different path — one that can cut deployment time and preserve current asset investments. HIVE’s seed round highlights investor appetite for approaches that try to compound learning across fleets of legacy machines, rather than betting solely on bespoke, greenfield robots.
Inside the product
HIVE’s product pairs sensors and cameras with an on-board compute and a cloud-based intelligence layer it calls the silicon brain. The system is designed to sit on existing vehicles used in warehouses, production lines and construction sites, adding perception and control without replacing the machine.
The company says deployed machines contribute to a single reinforcement learning loop: each machine-hour of operation feeds back into the platform and improves behaviour across the fleet. HIVE claims this learning can materially reduce the cost of a productive machine-hour, estimating an 80% reduction as the system trains — a performance figure the company presents as an expectation rather than an independently verified outcome.
HIVE reports live deployments in Scandinavia and two offices in Norway and London, with U.S. expansion under way. One concrete example comes from Vikafjellet, a Norwegian mountain crossing. Working with road-maintenance operator Presis Vegdrift, HIVE retrofitted a standard wheel loader with sensors and its control stack so an operator can supervise the vehicle remotely from a safe control room, rather than being exposed inside the cab while clearing avalanche-prone zones. The example illustrates the safety and operational continuity use cases the company is targeting.
Who are the investors?
The round was led by SuperSeed, with participation from Veriten, Skyfall and Nysnø. Angel backers named by the company include Børge Hald, founder of Medallia, and Jørn Lyseggen, founder of Meltwater. The funding is earmarked for accelerating platform development, expanding the founding team and scaling commercial deployments with both new and existing industrial partners.
In the announcement, Mads Jensen, a managing partner at Superseed, said:
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 investor line-up mixes an early-stage lead fund with specialised backers and seasoned tech founders. Hald and Lyseggen bring operator and scale experience from SaaS businesses, which investors often value when hardware-focused startups move from pilot deployments to recurring commercial contracts.
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Founder perspective
In the announcement, Christoffer Jørgensvaag, co-founder and CEO of HIVE, said:
We’ve spent the past few months securing top international talent to support the next phase of growth. 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.
The company says the funding will support hiring senior engineering talent and ramping up commercial rollouts across industrial partners that can feed hours into its learning loop.
The bigger picture
HIVE’s approach reflects a broader shift in industrial automation: investors and operators are increasingly interested in software-first ways to add autonomy to brownfield assets. For the UK and Europe, where capital for deep hardware plays has been more selective than in the United States, seed rounds of this size signal that investors are willing to back teams that combine robotics engineering with cloud-scale learning.
London’s continued role as a hub for robotics and AI talent, paired with access to Nordic industrial test sites, gives companies like HIVE a cross-border footing as they expand to the U.S. The deal is one of several recent examples showing that European startups focused on industrial autonomy can still attract capital if they demonstrate practical deployments and pathways to repeated commercial value.
They've invested in HIVE
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