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For Mariana Minerals · Confidential
Hive Autonomy

Your machines.
Running themselves.

Hive delivers supervised physical AI for heavy machinery. We retrofit your existing machines with cameras, lidar, and a control cabinet. The AI operates the machine. A trained human supervisor oversees every action from our operations center. 24/7. No new machines. No new infrastructure. Just production.

What We Hear From Every Customer

Four pressures. One common pattern.

This is what we hear in every conversation with aggregates producers and contractors across the Nordics and UK. Does it sound familiar?

Margin squeeze The math that used to work no longer does Thinner margins driven by energy costs, fewer contracts, and a construction market that is not booming. Less volume to sell, same fixed costs. You need lower cost per productive hour just to stay competitive.
Operator pressure Repetitive, heavy, hard to fill 12-hour shifts on the same task, day after day. The boring jobs have the highest turnover. You are overworking the people you have, and the ones you lose are the hardest to replace.
Underutilized assets Machines sitting idle because the operator is not there Sites running on reduced hours because you cannot justify a full-time operator for the volume. A machine sitting idle is unproductive capital. Every hour it does not run is revenue left on the table.
Everyone sees what is coming Physical AI is not a question of if. It is a question of when. You already know this technology is coming. The profitability case is clear. The real question is whether it actually works in your operation, on your site, with your machines. That is what Hive proves every day.
Copper One · San Juan County, Utah

Three domains autonomous.
One position open.

Already running at Copper One
  • HaulagePronto AHS — camera ML + GNSS. Fixed haul routes, proven at scale.
  • DrillingSandvik AutoMine — remote-controlled autonomous drill. Structured task, structured environment.
  • PatrolBoston Dynamics Spot — independent site and refinery patrols.
  • ConnectivityCelona private 5G deployed on site. No infrastructure to build.
The open position
Wheel loaders.

Pronto works on fixed haul routes. AutoMine works in a structured drill hole. Wheel loaders work in dynamic, unstructured environments — pile geometry changes every cycle, fragmentation varies. No scripted path solves this.

That means one skilled operator per loader, every shift. The last 1:1 ratio on your site.

Your 5G is production-ready for Hive from day one. The question is whether the AI model handles the loader cycle reliably enough for production — not just a demo. That is what we have built.
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 machine is ready without leaving your site.

Three generations of machine autonomy

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 quarry loading to tunnel clearing to fertilizer handling. 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 loads trucks, clears avalanche zones, moves fertilizer. Hive is one of very few running this in industrial production today.
100% VLA
Pallet pick · Hive forklift
Live footage· Hive forklift in VLA mode · Ops-center multi-camera view
Proven In The Field. Not A Concept.

Four live operations. Real customers. Real production.

Running today. Not slideware, not a roadmap.

Feeding the world
Yara . Heroya
Supervised physical AI wheel loaders moving fertilizer inside one of Europe's largest ammonia facilities. Hardware 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.
Powering quarries
Hamar Pukk . Quarry
Supervised physical AI wheel loader loading trucks in a live Nordic aggregate operation. Why: continuous production without operator shift gaps.
Building tunnels
Veidekke . Telia 5G
Europe's first industrial 5G teleoperation trial, with Hive wheel loaders alongside Boston Dynamics robots. Why: multi-vendor interoperability in confined spaces.
Currently deployed on Volvo wheel loaders. The same physical AI platform extends to haulers, excavators, forklifts, and other industrial machines.
What Changes On Your Site

A machine that runs itself, supported by an operations team you never have to hire.

  • OutcomeSupervised physical AI on equipment you already own. No new brand, no new hardware vendor, no new service contract.
  • Operator ModelThe AI operates the machine. One Hive supervisor monitors the operation from our control center. Your staff focuses on higher-value tasks.
  • Zero CapexRetrofit kit installed in days. Pure OpEx subscription from day one.
  • Extended HoursRun production outside normal shifts, weekends, holidays. Without hiring.
  • SafetyRemove people from hazard zones. Every action supervised. Human always in the loop.
  • VisibilityReal-time production data, utilization metrics, machine health monitoring.
Your Path Forward

From pilot to your own physical AI operation.

Three phases. You see it work before you commit.

01
Phase 1 . Pilot

One machine. Real production. Zero risk.

Hive brings a machine to your site. We define KPIs together upfront. We resolve connectivity, safety, third-party logistics. You watch it run. Verification period is free. You see it work before you pay.

02
Phase 2 . Hive Operates

20% lower cost than your current operator.

KPIs met. The physical AI continues running your machine. You are billed at 20% below your current operator cost per productive hour. In the background: Hive trains the AI model on your specific operation. The machine gets smarter over time.

03
Phase 3 . Handback

Your operators. New roles. Your operation.

When Hive reaches 5-7 machines per operator, we hand the operation back to you. Your existing operators are upskilled to supervisors. They monitor, handle exceptions, manage the fleet from a control room. A better, safer, more skilled role.

Even at full autonomy, there is always a human supervisor who can take over. That is the foundation of everything we build.
The Numbers

Simple economics. No hidden costs.

Pure OpEx. 20% below your current operator cost. Pilot verification period is free.

Your operator today
Loaded cost per hour$35–50/hr
Annual cost per operator$73,000–104,000/yr
Shifts you cannot fillLost revenue
Hive cost20% below your rate
What changes
Before With Hive
Operating hoursLimited by shifts24/7 capability
Cost per productive hourFull operator rate20% lower
Scale constraintHire more peopleAdd machines to the platform
All pricing validated per pilot. No commitment until you see verified KPI performance on your site.
Getting Started

Start with one machine. See it work. Scale from there.

The first step is a conversation about your operation. No commitment, no contract. Just a real assessment of whether supervised physical AI fits your site.

  1. 01Book a 45-minute call We sit down together and discuss your sites, your machines, your challenges. 45 minutes. No commitment.
  2. 02We visit your site Hive visits your site to assess the physical environment, connectivity, and operational flow. We evaluate whether supervised physical AI is a fit.
  3. 03Pilot on your site Hive brings a machine. Free verification period. KPIs defined together. You see it work.
  4. 04Production KPIs met, we continue. Your machine runs under supervised physical AI.
Hive Autonomy
Ronny Azimi Liverød
VP Heavy Machinery
ronny.liverod@hiveautonomy.no
+47 481 32 299
Kristiansand · Oslo · London · Palo Alto
hiveautonomy.no
Appendix: Discovery Checklist

Questions to build the case.

01
The Operation
  1. What machines do you run? Which models, which years?
  2. What is the primary task? (load-haul-dump, crusher feeding, stockpile management)
  3. How many shifts are you running today? How many could you run?
  4. What connectivity do you have on site? (4G/5G, WiFi)
  5. Is there someone on site daily for machine inspection?
02
The Economics
  1. What does a fully loaded operator cost you per hour? Per year?
  2. How many operators do you have on wheel loaders today?
  3. What happens when you cannot fill a shift? (lost revenue, reduced output)
  4. What is your current cost per tonne / per productive hour?
03
The Decision
  1. Who approves spend on operational technology? (Economic Buyer)
  2. What is the internal process from "yes" to signed contract?
  3. Who is the internal champion for this initiative?
  4. Have you evaluated autonomy or remote operation before? What happened?
04
Pilot Setup
  1. When would you want to start a pilot? (Compelling Event / Timeline)
  2. What does success look like after 90 days?
  3. Are there site-specific safety requirements or third-party approvals needed?
  4. What KPIs matter most to your management? (cost/tonne, utilization, safety)
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Hive Customer Intro . v3 . 2026-04-30