Confidential · Hive Autonomy · Product Vision
Hive Autonomy · Product Vision

Unlocking the next era of physical labor, making productivity limitless.

HIVE was founded in Norway, by a team that understands industrial operations from the inside. The physical AI platform was built in the field, in tunnels, on snowfields, and at ports - not in a lab or a pitch deck.

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The forcing function

Manual labour is constrained.

Automation is no longer optional because the alternative, hiring more operators, is not viable. Three constraints, all structural, all getting worse.

Supply
30–50%

Annual operator turnover in EU logistics. Workforce shrinking, aging out faster than replaced. Every rotation re-opens a productivity gap.

Cost
~70%

Of a 2-shift forklift's loaded TCO is the operator. Wages up 4–7% per year. Shift premiums, sickness cover and onboarding outpace machine cost.

Reliability

Forklift-operator injury rate vs. average warehouse role. Shifts go uncovered. Safety incidents block throughput. Iron sits idle 34% of the time.

The labour you can hire isn't enough. The labour you can't hire is the bottleneck.
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The problem
The brain is the bottleneck.

Physical machines run the world, and every one of them needs a brain to operate it. Today that brain is human: scarce, hard to scale, and stretched thin.

Multiply the human brain with AI, and the economics flip. Every correction compounds. The cost of industrial work falls immediately, enabling a new industrial productivity revolution.

Today
$40 / hr
per machine operator
Human 50%50%
silicon share
grows
Human 5%95%
By 2035
$0.50 / hr
the cost keeps falling, automatically
2025 2027 2029 2031 2033 2035
Human-led
silicon share grows →
Silicon-led
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The premise
The brain is the model.
The body is the machine.
Not a robot we ship. Not just a retrofit on a machine. A silicon brain that operates the machine, whatever shape that machine takes.
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The full material handling flow

From forklifts to wheel loaders. One Physical AI platform for the full fleet of material-handling machines.

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ODIN · overview

One model. Every industrial machine.

ODIN is trained on real-world industrial operations. Generalizes across machine types. Deployed machine-by-machine as capability matures.
Input
Industry datasets
Forklifts · Wheel loaders
Reach stackers · Excavators
Haulers · Terminal tractors
Foundation model
ODIN
Hive foundation model
for industrial Physical AI
Output
Autonomous machines
One model, every machine
Light tasks · heavy tasks
Cross-task generalization
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ODIN · composition

Two components becoming one silicon brain.

Text input
"Please pick the pallet and move it to the loading bay."
Machine state
Camera feeds · lidar · joint positions · velocity
Huginn · thought
Perception & Understanding
Sees and understands
Vision + Language
+ Fusion
Muninn · memory
Action & Memory
Acts and remembers
Policy + Diffusion
+ Execution
Machine control
Continuous trajectories, drive, lift, navigate, adapt.
Named after Odin's two ravens in Norse mythology, Huginn (thought) and Muninn (memory), who fly across the world each day and return with what must be remembered. Hive is a Norwegian company.
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Proof from the field

Four selected live deployments. Real customers. Real production. Real operational data.

Operational on Volvo wheel loaders and Toyota Counterbalanced forklifts today. Hive does the hard task in the sector, Loading, Unloading at Height made reliable. Indoor and Outdoor.

Feeding the world
Yara · Herøya
Supervised Physical AI wheel loaders moving fertilizer inside one of Europe's largest ammonia facilities. Why: proven in extreme industrial environment.
Building critical infrastructure
Veidekke · Telia
Europe's first autonomous machines trial in Nordic construction — quadruped robot and wheel loader operating together at an active quarry and tunnel site, controlled from HQ 100 km away over Telia's 5G SA network. Why: multi-robot platform proven in an industrial environment over 5G.
Indoor-Outdoor carry & stack
St Gobain · Warehouse to Yard
Supervised Physical AI Counterbalanced carrying wooden pallets between Yard and Warehouse to stack 5 high. Why: continuous production without operator shift gaps.
Complex recycling infrastructure
Stena Recycling
Proofpoint for operating in a brownfield complex environment with storage at height as well as indoor/outdoor operation with narrow aisles. Why: multi-vendor interoperability in confined spaces.
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Next Step — Your Full Fleet

HIVE, your end-to-end physical AI partner

Every machine you run supported by the same system.

01

Selected machines

Supervised-autonomy across selected volume-oriented machine types and brands. Supporting logistics, industrial production, and construction operations

02

Full fleet of material handling equipment

Autonomy extending across every class and brand in your operation. Enabling end-to-end material handling operations.

03

New robots entering the market

As humanoids and inspection robots reach the market, the Hive platform is ready to support them end-to-end, already proven in customer operation. Using the same interface and operating system as your material handling fleet.

Today
Selected machines in customer operation
2028
Full material handling fleet
2030
End-to-end physical AI partner
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The horizon

Fully autonomous industrial operations.
Supervised from Hive operation centers.

Today, one operator supervises two to three machines.

As ODIN improves, each deployment feeding the next model, that ratio scales: one operator to four, to six, to dozens of machines across sites.

Productivity made limitless. Decoupled from the human hour.

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