7th Unit — Automating routine work. Everywhere.

The Challenge

The world is running out of workers.

The global workforce is decreasing, ageing and moving away from undesirable, unsafe, and repetitive tasks

The working-age population is shrinking across every major economy. Workers are leaving physically demanding, repetitive roles and not coming back. By 2030, 85 million jobs will go unfilled globally — representing $8.5 trillion in unrealized economic output every year. Only 20% of the physical work performed across the $90 trillion global industrial sector is automated today. The remaining 80% — every task that requires a human body, a pair of hands, and the ability to move through a real environment — has no viable solution. That is what 7th Unit is building for.

85M

jobs will go unfilled globally by 2030

$8.5T

in unrealized economic output every year

80%

of physical industrial work has no viable automation solution today

The Opportunity

According to Goldman Sachs, the total addressable market for humanoid robots is projected to reach $38 billion globally by 2035 and $1T by 2050, driven by acute labor shortages and demographic pressures across developed economies.

The potential of humanoid robots is enormous, and we identify three significant business opportunities in the long run.

2027

Physical tasks

Robots will transform manual work in manufacturing, warehousing, logistics, and retail, tackling repetitive, dangerous, and tedious tasks.

2029

Service

Services will comprise 70–80% of the global economy, with 1.4B people over the age of 60. Humanoid robots will play a critical role in the service sector workforce.

2031

Households

From 2031 onwards, robots will revolutionize everyday life across 3.5 billion households, efficiently managing routine chores as assistants and providing comprehensive home care as companions.

The moment for humanoid robots is here.

Humanoid robots have long been a dream, limited by cost and technical hurdles. Today, a perfect storm of robotics and AI advancements is making them real. Faster hardware, smarter AI, and new learning methods allow machines to think, move, and act with human-like precision.

Generative AI and multi-modal models are teaching robots to learn by observing and imitating — in the real world and through data-driven simulations. Robots are beginning to share knowledge through cloud networks, accelerating collective intelligence at an unprecedented pace.

At the same time, labor shortages and demographic shifts are creating urgent demand. Across factories, warehouses, and care facilities, humanoid robots can now take on dangerous, repetitive, or complex tasks — freeing humans for more meaningful work and delivering measurable economic impact.

→ Learn more about our approach

Solution

One robot. An entire shift of work.

Traditional automation replaces a single task. A conveyor moves one thing. A robotic arm performs one operation. 7th Unit replaces a worker — and a worker does many things across a shift. Our full humanoid platform combines navigation, manipulation, and contextual awareness in a single deployable unit, executing multi-step workflows across an entire working day. From moving inventory across a warehouse to handling multi-step back-of-house operations. The human form is not an aesthetic choice — the world is already built for humans, and our robot inherits that infrastructure on day one with no facility redesign required.

Advantage

We have a different approach to how robots learn.

We have developed a proprietary methodology for how our robots acquire and retain skills. Our approach focuses on learning directly in real-world environments rather than controlled datasets — enabling faster adaptation and deployment.

Get in touch →

Roadmap

One milestone. Twelve months. A deployed robot in a paying customer's facility.

Months 1–3

Finalize technical architecture. Assemble founding engineering team. Source components. Begin hardware build.

Months 4–7

Build and test the alpha platform. Complete task-specific training for the pilot customer environment. Validate performance against conditions in signed agreements.

Months 8–10

Deploy the alpha unit inside a paying customer facility. Generate real operational data — hours logged, tasks completed, error rates, documented cost savings.

Months 11–12

Compile deployment data. Refine hardware and software based on real-world feedback. Series A round with a deployed robot and real operational data in hand.

Founder

Built by someone who has lived the problem.

Alex Mokrov

Founder & CEO

From a young age Alex observed the workers at a close family friend's construction company — exhausted men doing backbreaking physical work day after day, weekends included, for wages that barely covered bread. Traveling the world across Asia, Africa, and Europe, he kept encountering the same picture: people performing physically brutal, repetitive work in conditions no person should endure. Millions of people still live and work this way today. Alex believes that humanoid robots can free people from the most degrading and repetitive physical labor, allowing them to live and work with greater dignity. This belief is what drives him to build 7th Unit — and the technology to finally make it real has arrived.

Join Us

We are looking for builders, engineers, and operators.

We are assembling a founding team and looking for early partners.

If you are a strong builder who wants to own something from the ground up — or an operator who wants to shape the deployment directly — we want to hear from you.

Founding Engineers

Robotics Hardware Engineer

Mechanical design, actuators, physical platform architecture. You have built and debugged a real robot that left the lab.

Robot Learning Engineer

Imitation learning, task policies, AI/ML for physical systems. You have deployed a learning pipeline on real hardware.

Perception Engineer

Vision systems, environment understanding, VLA fine-tuning. You have shipped perception that works in a real uncontrolled environment.

Embedded Systems & Controls Engineer

Real-time control, onboard compute, hardware-software integration. You know the difference between a policy that works in a demo and one that works in production.

General

Systems & Integration Engineer

You have held the full stack together and shipped a system a real customer used.

Manufacturing & Operations Partner

You are running an operation where a significant portion of your workforce performs structured repetitive physical work and want to be an early deployment partner.

Open Application

Strong robotics engineer and don't see your role listed? Reach out anyway.

Interested in any of the above or want to learn more? Send us a message.

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