Intralogistics · 2026
Physical AI · Live
Supervised physical AI

The Hive bridge to autonomous intralogistics that works end-to-end today.

Hive turns your mixed operational fleet to AI-first autonomous machines, derisked by supervision. Proven on heavy duty Industrial operations and in harsh environments across the Nordics — now in Europe and in the US.

* Hive application at Veidekke, Espa
Act I · A clear market trajectory
02 / 14
A clear market trajectory

Everybody wants to automate to grow.

Warehouses, ports, terminals, yards. The destination is no longer in dispute — every operator at scale has an active automation initiative on the agenda.

25%
Warehouses with automation

A quarter of warehouses globally have implemented some form of automation. Only 10% use advanced automation technologies — most have started, almost none have arrived.

Source: Meteor Space, 2024
$18B
Projected global spend by 2027

Global capex earmarked for AGVs and AMRs by 2027. The money has been allocated across logistics, manufacturing and material-handling operators worldwide — the destination is not the question.

Source: PR Newswire
2.4M
Units installed base by 2027

Projected global installed base of AGV and AMR robots by 2027. The iron is being deployed at scale — the question is whether it actually replaces labour or just sits beside it.

Source: PR Newswire
Act II · The forcing function
03 / 14
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.
Act III · The honest problem
04 / 14
The honest logistics problem

AMRs were supposed to replace labour. They can't. Yet.

Every operator who ran a pilot has met the same wall. The gap between what AMRs can do today and what they would need to do to viably replace human labour is large — and most operators blamed the robot.

What AMRs do today

Conveyor belts on wheels.

  • Fixed routes, pre-mapped environments
  • One task, one machine, one workflow
  • Structured floors only — no edge cases
  • Stops on exception, waits for a human
  • Per-task integration, per-vendor stack
Useful in narrow lanes. Not a labour replacement.
THE GAP
What replacing labour requires

What humans actually do.

  • Mixed tasks across the day, no script
  • Floor and yard, indoor and outdoor
  • Dynamic, messy, unstructured environments
  • Judgment under exception, no human nearby
  • Cross-equipment, cross-site generalization
The job an operator does on day one.
HIVE AUTONOMY
Capabilities
Industrial Autonomy · Edge cases
Hive Industrial Autonomy · Where others stop

Where line-following stops, Hive begins.

Most autonomy performs well in Theory, not operational Reality.

Hive Industrial Autonomy

Where Hive operates.

  • 01 Indoor & outdoor on one machine Cross the dock door mid-cycle — concrete to asphalt to gravel, no handoff.
  • 02 Challenging floor conditions Wet, glossy, painted, dirty, uneven.
  • 03 Container loading & unloading Tight tolerances, no reflectors.
  • 04 Operating at height Pick & place at 3× mast height with millimetre repeatability.
  • 05 Stacking Pallets, big bags, drums, totes.
  • 06 Cold chain Sub-zero freezers and chilled rooms.
Other autonomy

Where Competitors operate.

They don’t.
Confidential
Act IV · Where Hive comes in
05 / 14
Where Hive comes in

Hive closes the gap with a physical AI model — not a fleet of single-purpose robots.

Today's AMRs → The Hive bridge ← Labour replacement

A general-purpose AI model trained across machine types, sites and conditions — running on the iron you already own, supervised by humans until the model owns the edge cases. Four pillars carry the bridge.

01
One model, every machine

A single AI model across the whole fleet.

Not a separate integration per machine type. Hive trains one model that generalizes across wheel loaders, haulers, excavators and forklifts. New tasks and new iron without starting from scratch.

02
Fully packaged service

Ops center, trained operators, 24/7 coverage.

Hive is not software you install. It is a packaged service. Operations center in Kristiansand, trained remote operators, redundant connectivity, 24/7 coverage. Nothing you replicate internally — unless you'd like your operators to step into supervision.

03
Human-in-the-loop by design

Supervision is the product, not the fallback.

When the AI hesitates, a trained remote operator takes over instantly. The edge cases that stop every other AMR are absorbed by the supervisor — and become the next training set.

04
Enhancement, not replacement

Runs on machines you already own.

Sensors, lidar and a control cabinet mounted on your existing fleet. Installed in days. From standard to supervised physical AI without new iron or a multi-year refresh cycle.

What you get
06 / 14
What you get

The Best of Both Worlds. The cost saving, predictability and independence from Labour that Autonomy brings. The efficiency and throughput that Humans bring.
With ROI from Month 1.

01

Throughput & Repeatable Reliability

  • Safety of AMRs at 2X speed of end-to-end workflow completion.
  • Up to 100% redeployed labour hours per shift
  • Marked Asset Utilisation Improvement of up to 50% reduction in vehicle number depending on workflow type
  • Workflows repeat uninterrupted without human interception or item and asset damage every time
02

Safety as a Guarantee

Count on operational safety that removes your operators from tough environments, removes collision risk caused by human factor and/or higher number of vehicles needed to achieve an equal throughput (AMRs). Minimised rack and pallet damage as a result.

  • Incident rate reduced by 90–100%
03

ROI from Month 1

  • Hive gives you ROI from month 1 in operation through labour cost saving when you move from manual to robotic labour.
  • No upfront Capex or investment into a new fleet — Hive enhances your existing fleet.
  • No change management required + fully derisked with enhancement being fully reversible.
  • Hive-enhanced fleet is operation-ready within two weeks.
07 / 14
Why this works differently

Everyone else automates a task. Hive runs a model.

The leap from AGV to AMR took fifty years. The leap to VLA took two. One model learning from every shift, generalizing from pallet picking to truck loading to snow clearing. No new script per task.

01
AGV Automated Guided Vehicle 1960s →
Fixed paths on magnetic tape, wires or QR codes. One route, one job. Change the layout, re-lay the tape.
02
AMR Autonomous Mobile Robot 2010s →
SLAM maps and dynamic navigation. Better, but still one task-specific script per operation. New task, new engineering cycle.
03
VLA Vision · Language · Action 2024 →
One general model. Cameras in. Natural-language goals in. Actions out. Same model picks pallets, loads trucks, clears snow. Hive is one of very few running this in industrial production today.
100% VLA
Pallet pick · Hive forklift
Live footage· Toyota forklift in VLA mode approaching wooden pallet · Ops-center multi-camera view
Live operations
08 / 14
Proof from the field

Four live operations. Real customers. Real production.

Operational on Volvo wheel loaders and Toyota Counterbalanced forklifts today. Hive do 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 for 18+ months.
Keeping passes open
Presis Veidrift · Vikafjellet
Remote snow clearing in avalanche zones under Norwegian Public Roads Administration contract.Why: operators removed from life-threatening hazard zones.
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.
Public endorsement
09 / 14
LinkedIn post by Ingrid Dahl Hovland
Public · on record

The Director of Norwegian Public Roads. Publicly calling this the future.

A national road director posting on her own feed, tagging the agency, with the video live. Statens Vegvesen now runs a signed contract with Hive on Rv. 13 Vikafjellet.

Selected by the Norwegian Ministry of Transport
Contract signed · Automatic Winter Maintenance · 2025
HIVE AUTONOMY
Hive Use Case
Oil & Gas · Houston, TX
Petrochemical logistics · Gulf Coast

Autonomous polymer handling inside an Oil & Gas warehouse.

Two Hive-enhanced counterbalanced forklifts run a defined path with pick & drop to strict KPIs.

Site plan with Warehouse 3 to Polymer Staging route highlighted
Site plan · Warehouse 3 → Polymer Staging Autonomous route Pick & drop zones
1Workflows in scope

Warehouse 3 → Polymer Staging. Point to Point autonomous route execution. Pallet handling within operational areas at 3 x height.

Polymer lot & volume capture embedded in every move — not a separate step.

2Speed-to-market

Fully operational in weeks5 day installation on existing fleet.

3 week validation · scale to your full warehouse fleet in under 3 months.

3KPIs

Technical execution — reliable route execution of the defined workflows.

Quality measurement — data integrity on the correct polymer lot number captured per move.

ROI from Month 1 — guaranteed labour cost saving and efficiency gain with expanded shift hours.

Hive Value Add90–100% throughput vs. manual · up to 100% labour hours redeployed per shift · zero recorded safety events on supervised workflows.

2forklifts
Hive-enhanced, counterbalanced, on OEM of your choice
24/7
Remote supervision & monitoring
20%+
Labour cost saving from the outset
Confidential
HIVE AUTONOMY
Hive Use Case
Aquaculture · Norway
Aquaculture feed logistics · Norway

Autonomous big-bag handling at a Salmon farming leader.

Three Hive-enhanced counterbalanced forklifts running outdoor & indoor big-bag transport with loading and unloading under supervised autonomy — with safety and predictable output treated as first-class KPIs alongside route reliability.

Outdoor · Finished feed Site plan with finished feed handling route — Storage 9 to Storage 7 to Big-Bag
Indoor · Micro / macro receiving Site plan with micro and macro receiving routes — vessel to storage tents
Site plan · Outdoor & indoor big-bag routes Autonomous route Pick & drop zones
1Workflows in scope

Outdoor & indoor big-bag transportloading and unloading across storage zones with point-to-point autonomous route execution.

Big-bag move & lot capture embedded in every cycle — not a separate step.

2KPIs

Technical execution — reliable route execution of the defined workflows. Improved safetyinstant blindspot elimination and zero incidents on supervised moves.

Predictable, measurable output — every cycle logged, traceable and on cadence.

3Speed-to-market

Fully operational in weeks5 day installation on existing fleet · 3 week validation · scale to your full site fleet in under 3 months.

Hive Value Add *representative field results across Hive supervised-autonomy deployments
90–100%
Throughput · vs. manual operation
100%up to
Labour hours redeployed per shift on the autonomous task*
0
Recordable safety events on supervised autonomous workflows
3forklifts
Hive-enhanced, counterbalanced, on OEM of your choice
24/7
Remote supervision & monitoring
20%+
Labour cost saving from the outset
Confidential
Across the value chain
10 / 14
The full intralogistics flow

From pallet jacks to terminal tractors. One physical AI platform.

Pallet jacks Counterbalance forklifts Reach stackers Wheel loaders Terminal tractors
The retrofit kit
11 / 14
Installed in days. Not months.

Hive enhances your fleet. No rip-and-replace.

Sensors

Cameras and lidar.

Roof-mounted perception stack. Full 360° view. Calibrated on your site during install.

Compute

Control cabinet onboard.

Runs the physical AI stack locally. Connected to our ops center over redundant LTE/5G.

Safety

E-stops, sirens, geofence.

Emergency stop on machine, at remote station, on handheld. Zone-bounded operation from day one.

Platform

Platform agnostic

Counterbalance forklifts, reach stackers and terminal tractors rolling into the platform through 2026.

Retrofit Kit
Retrofit Kit

Installed in days. Not months.

Cameras, lidar, and a control cabinet. Mounted on your existing Volvo L60 to L350 wheel loader. Connected to our operations center. The physical AI operates the machine while a trained supervisor oversees every action. Your operators move into higher value tasks. Your machine is ready without leaving your site.

Start here
First Derisked Step

Your Floor & Yard. Thirty days. Start here.

01

Site call with Hive operations.

Sixty-minute walk-through of your floor, shift pattern and target machine class.

02

Validation framework.

See Hive proving your workflows in operation for 3 weeks on one machine.

03

Bridge Partnership term sheet.

Streamlined commercial framework to extend term and add machines under Hive operational model.

04

Scaled Robotic Partnership.

Extend the machine types operating under Hive to your full Logistics workforce.

Your Hive contact
Tatiana Kalinina
VP Intralogistics · Hive Autonomy
tatiana.kalinina@hiveautonomy.no London · UK
Q3 2026 pilots book now. May term sheet keeps your site in the queue.
Towards your double-digit savings from the go
Beyond pilot
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