ARCBOS Extreme-Environment Autonomous Operations Platform | U.S. Angel Round BP (English)

ARCBOS

ARCBOS
ENGINEERED FOR EXTREME CONDITIONS

ARCBOS Extreme-Environment Autonomous Operations Platform

U.S. Angel Round Business Plan (English)

One-Line Judgment

One of the last major robotics scenarios that has not been truly solved is extreme environments. ARCBOS enters from there.

ARCBOS is not a snow-removal equipment company. It is an industrial robotics platform company entering through extreme-cold snow removal to build autonomous operating capabilities for extreme environments.

Why This Is Worth Looking At Now

• This is not a new demand category, but a long-existing, budgeted, mission-critical expense
• The challenge is not a single point technology, but systems engineering under extreme conditions
• If this works, what gets replicated is site-level deployment and multi-scenario expansion, not single-unit sales

First Entry Point

• Product: SnowBot
• Form: all-electric, autonomous, industrial-grade extreme-cold snow-removal robotic system
• Role: validate whether engineering capability can truly work under extreme conditions

If This Works

If this path works, robots will no longer remain limited to indoor, warehouse, and rule-based routes. They will truly enter extreme outdoor environments and take on high-frequency, mission-critical, consequence-sensitive real-world tasks.

What We Are Building

What we are building is not a snow-removal robot, but an industrial-grade autonomous operations platform for extreme environments.

ARCBOS chooses to enter through the hardest scenarios—those closest to real industrial operations value and most likely to generate engineering defensibility. We are not focused on indoor settings, consumer products, or light automation. We are focused on outdoor, continuous, low-temperature, heavy-duty, accountable, must-complete operating environments.

Today’s mainstream solutions still rely on:

• Human dispatch
• Fuel-powered equipment
• Experience-driven execution
• Results that are not auditable

What ARCBOS aims to do is upgrade this category of work from an improvised mix of people and equipment into an industrial-grade autonomous operating system capable of long-term stable operation.

Platform Definition Diagram

ARCBOS
├─ First entry point: SnowBot (extreme-cold snow removal)
├─ Shared capabilities: outdoor autonomy / extreme-environment reliability / remote operations / safe degradation
└─ Horizontal expansion: mowing / security patrol / industrial inspection / outdoor autonomous operations

Company Positioning Comparison

Fundraising Target

ARCBOS is currently raising an Angel / Platform Entry Round for the U.S. market.

• Target raise: US$4M–6M
• Target dilution: 10%–15%
• Use of proceeds: build the first operational engineering system, validate key capabilities under extreme conditions, and open North American pilot opportunities and the next financing entry point

The core goal of this round is not short-term revenue, but to complete the key transition from concept validation to engineering viability.

Why This Opportunity Exists

Extreme-environment autonomous operations are not a fake demand category. They are a real market that has been underestimated for a long time.

In commercial and industrial facilities operations, winter snow removal is not discretionary spending. It is a mission-critical expense. Customers do not buy because they are interested in robots. They buy because they are already paying for this category of work on an ongoing basis.

These scenarios usually share four core characteristics:

• They must happen
• They repeat every year
• The budget already exists
• The cost of failure is high

Initial Target Customer Types

The problem these customers face is not that there is no equipment in the market. It is that existing solutions struggle to satisfy all of the following at the same time:

• Nighttime responsiveness
• Executability under extreme weather
• Predictable cost
• Auditable service process
• Controllable risk

Opportunity Logic

Real demand
+ Existing budget
+ High cost of failure
+ Inefficient current solutions
= Automation entry window

Demand Quality Comparison

Market Size (Minimal Version)

• The U.S. commercial snow-removal and related maintenance market represents approximately $20B+ in annual spend (including labor, outsourced services, and equipment)
• This spend is not one-time procurement, but recurring, site-based, mission-critical OPEX
• ARCBOS is not targeting the entire outdoor maintenance market, but the most mission-critical, hardest-to-automate, and most defensible entry point within it

This is not an equipment market.
It is a long-existing, continuously paid, automation-addressable pool of spend.

Why Now

What could not be done before is now starting to become possible because technology and market conditions are maturing at the same time.

For the past decade, outdoor autonomous operations did not truly break out not because demand did not exist, but because the key technical and engineering conditions were not mature enough.

Today, several variables are starting to align:

• Electric drive systems have matured and can realistically replace fuel-powered systems in high-frequency operating scenarios
• Sensors, controllers, and compute platforms have become cheaper
• Autonomous driving and robotics capabilities are spilling into industrial use cases
• Customers are placing greater value on auditability, predictability, and remote management

Window-of-Opportunity Logic

Before: demand existed, but capability did not.
Now: demand still exists, and capability is starting to become viable.
The investment window is not about demand appearing for the first time.
It is about engineering viability becoming real for the first time.

ARCBOS’s view is that extreme-environment automation has moved from “not possible” into “whoever makes it work first gets the position.”

Current Progress

ARCBOS is not starting from zero with a story. It has already completed the definition of direction, architecture, and the first-stage engineering path.

Foundational Work Already Completed

• Defined company positioning: an extreme-environment autonomous operations platform entering through extreme-cold snow removal
• Defined the first entry point: SnowBot (all-electric, autonomous, industrial-grade extreme-cold snow-removal robotic system)
• Completed core product logic, platform logic, and phased path design
• Built the foundational organizational framework and capability structure around the engineering prototype stage
• Begun advancing the engineering implementation path across mechanics, electrical control, control, perception, and system integration

Early Market Validation and Customer Feedback

In parallel with engineering development, ARCBOS has already begun early customer conversations and scenario validation with relevant North American stakeholders.

Current counterparties include:

• Large property management firms
• Large enterprise facilities management teams
• Industrial park and logistics park operators

These customers generally share the following characteristics:

• Existing recurring spend on snow removal and site operations
• High requirements for nighttime responsiveness, safety, and predictability
• Clear interest in automated replacement of manual snow removal

Current feedback is converging around two points:

• Broad validation of the direction of automating manual snow removal
• Reliability, predictability, and operational responsibility are the core concerns

Some discussions have already moved into more specific scenario-level conversations, including:

• Whether the system could be deployed as a pilot
• How it would integrate with existing maintenance workflows
• How responsibility boundaries and service models should be defined

This is no longer a demand-validation question.
It is an engineering-viability question.

Current Stage

ARCBOS is currently at:

From direction and system definition
into engineering prototype implementation

This means we have already crossed the stage of deciding whether the project is worth doing, and entered the key stage of whether the system can actually be built.

Core Pre-Round Objectives

Before this financing round is completed, ARCBOS is focused not on expansion, but on solidifying three foundations:

• Whether the engineering system path truly works
• Whether key capabilities under extreme conditions can be validated
• Whether credible evidence can be built for North American pilots and the next financing round

The key right now is not telling a bigger story.
It is building the first real system.

Why Start with SnowBot

We are not entering through the easiest scenario. We are entering through the hardest scenario with the strongest barrier potential.

SnowBot is ARCBOS’s first product. It is positioned as an all-electric, autonomous, industrial-grade extreme-cold snow-removal robotic system.

We chose snow removal not because it is a niche equipment opportunity, but because it is one of the best first scenarios for validating platform capability.

Why SnowBot Is the Right First Entry Point

If a system can only run in mild conditions, it is hard to create a real industrial barrier. If it can work under extreme cold, low traction, and long-duration outdoor operation, it becomes a credible starting point for platform capability.

Core Capabilities Validated Through SnowBot

SnowBot validation capabilities
├─ System reliability under extreme conditions
├─ Long-duration operating capability
├─ Execution capability on non-ideal ground and complex conditions
├─ Remote monitoring and anomaly handling
└─ Safe degradation and industrial deployment capability

Why This Is Not a Single Product, but a Platform Entry Point

SnowBot’s value is not only that it solves snow removal. Its value is that it validates a set of horizontally replicable platform capabilities.

A true platform robotics company cannot be built by talking vaguely about future expandability. It must first prove shared capabilities in a scenario that is difficult and real enough.

From Single Product to Platform Capability

SnowBot (extreme-cold snow removal)
└─ Validates: outdoor autonomy + extreme-environment reliability + remote operations + safe degradation
   └─ Forms: extreme-environment autonomous operations platform capability
      └─ Expands to: mowing / inspection / security / outdoor autonomous operations

Platform Capability Mapping

SnowBot is not all of ARCBOS. It is the first validation node for platform formation.

How We Build Barriers

Our barrier is not a single point technology. It is the ability to build cross-system engineering capability under extreme conditions.

The real challenge is not building one module. It is making mechanics, energy, control, perception, and operations work together under extreme conditions and remain stable over time.

Barrier Structure

Barrier
├─ Extreme-environment system coupling threshold
├─ Gap from “it can run” to “it can run stably over time”
├─ Experience and data accumulated from hard scenarios
└─ Reusable platform architecture capability

Barrier Breakdown

Better Expressions of the Barrier

Why Us

This is not a project built around a single technology point. It is a classic systems engineering problem.

The challenge of extreme-environment autonomous operations is not whether an individual module exists. It is whether mechanics, electric drive, control, perception, decision-making, and operations can work together stably over time in the real world. ARCBOS defined this as a systems engineering challenge from day one, not a single-point R&D effort.

Our AI and Autonomy Capability

ARCBOS’s core is not “automated equipment.” It is an autonomous system.

In extreme-environment autonomous operations, what determines whether the system works is not the mechanical structure alone, but the system’s ability to perceive, decide, execute, and degrade safely under uncertainty.

Our current technical path does not depend on a single algorithmic breakthrough. It is built around an engineering-ready autonomy stack, including:

• Perception and state assessment (environment change, snow condition, surface condition)
• Task execution decision-making (routing, snow-clearing strategy, dynamic adjustment)
• Anomaly detection and handling (slip, blockage, abnormal energy consumption)
• Safe degradation logic (system behavior when normal execution is no longer viable)

This is not an isolated “AI module.” It is a capability layer that runs through the entire system.

Mechanical system
+ Electric drive system
+ Control system
+ Perception system
+ Decision system (AI)
= Extreme-environment autonomous capability

We do not present AI as a demo feature. We treat it as a prerequisite for the system to work at all.

Core Team

Andy Gong

Founder & CEO

• Long-term background in industrial-grade system integration and engineering execution
• Experience across electrical systems, energy systems, and complex engineering projects
• Familiar with cross-border project execution, engineering collaboration, and commercialization in both China and the U.S.
• Strong at defining problems at the system level and driving the closed loop from solution design to engineering delivery

Gong Jifeng

Co-Founder / Strategic Development

• Responsible for key resource coordination, strategic advancement, and major support matters
• Plays a core role in organizational build-out, resource integration, and long-term development path
• Participates in direction, pacing, and major decision points as a core partner

Chen Chao

Core Engineering Lead

• Responsible for driving the core engineering system and product engineering implementation
• Heavily involved in structure, system realization, and key work in the engineering prototype stage
• Plays a frontline role in turning concepts into engineering systems

Zhen Wensheng

Core Operations & Execution

• Participates in advancing core initiatives and key support work
• Plays an important role in product advancement, coordinated execution, and business implementation
• Participates as a core member in overall project pacing and critical task execution

Team Capability Structure

The team is not built by stacking job titles. It is built around system capability:

Mechanical structure
Embedded / electric drive
Control systems
Perception and localization
AI decision-making and autonomy logic
System integration
Testing and validation

What we are prioritizing is not a demo team, but an engineering team capable of making the system work, run stably, and iterate in the real world.

Why This Team Fits This Problem

The common reasons these projects fail are not that the concept is impossible. They are:

• Building single-point modules without system capability
• Building demos without engineering stability
• Building for lab validation without a real-world execution path

ARCBOS avoids all three from the outset. The path is not to make a nice demo first. The path is to solve the hardest engineering problems first.

Commercialization Path

This is not a market where new budget must be created from zero. It is a market where existing OPEX can be replaced.

Customers will not pay because they like robots. They will pay because the system can complete the work more reliably, reduce labor dependence, and lower long-term uncertainty.

Three Commercialization Paths

Single-Site Deployment Logic

Core Commercial Decision Questions

Who pays
Who accepts delivery
Who bears operating responsibility

What This Round Must Accomplish

This round is not about explaining revenue. It is about completing a capability inflection point.

This is ARCBOS’s new angel round for the U.S. market. There is currently no mature revenue and no complete financial statement support, so the core of this round is not financial performance, but capability formation.

Definition of This Round

This is not a revenue round.
This is a capability inflection round.

Core Uses of Capital

Milestone Path

Why This Investment Timing Matters

The valuation logic at this stage is not based on revenue multiples. It is based on platform entry-point value, probability of engineering viability, and future expansion potential.

ARCBOS Long-Term Vision

ARCBOS’s goal is not to sell a few machines. It is to define a new foundational capability for autonomous outdoor operations in extreme environments.

If SnowBot works, what gets proven is not just a snow-removal product. It is a new path: robots will no longer belong only to indoor, consumer, warehouse, or fixed-route scenarios. They will also be able to enter brutal outdoor conditions and take on high-frequency, mission-critical, consequence-sensitive real-world tasks.

Company Evolution Diagram

Stage 1: SnowBot enters through extreme-cold snow removal
Stage 2: Build extreme-environment autonomous operations capability
Stage 3: Enter North American pilots and customer validation
Stage 4: Expand to mowing / inspection / security / outdoor operations
Stage 5: Grow into an extreme-environment robotics platform company

Four Foundational Capability Types

• Reliable operation in extreme environments
• Autonomous operation in complex outdoor work scenarios
• Remote operations capability for long-term deployment
• Platform capability for multi-scenario expansion

Company Form

Not a seasonal equipment brand
Not a single-function robotics team
But an industrial robotics platform company with an extreme-environment operations capability stack

Investor Q&A

Q1. Why does this company justify a US$30M–60M valuation range?

Because this is not a single-machine project. It is a platform entry point.

The market is a long-budgeted, mission-critical spend category, the first scenario validates reusable capability, and if it works, what gets replicated is a site-level deployment system, not single-unit sales.

Q2. Why is this not a seasonal snow-equipment project?

Because SnowBot is not the end point. It is only the first entry point.

It validates outdoor autonomy, extreme-environment adaptation, long-duration operation, remote operations, and safe degradation. Those capabilities naturally extend into mowing, inspection, security, and other outdoor operations scenarios.

Q3. Why is now the investment moment?

Because investing now means buying the entry point. Investing later means buying the result.

Demand has existed for a long time. What changed is that engineering capability is now starting to become viable.

Q4. Why start with the hardest extreme-cold snow-removal scenario?

Because easy scenarios are easier to demo, but harder to defend.

Extreme-cold snow removal raises environmental difficulty, task criticality, and customer requirements at the same time. If it works here, platform value and defensibility increase materially.

Q5. Why will customers pay?

Because customers are already paying for this category of work.

ARCBOS is not trying to educate customers to buy a new demand category. It is replacing existing OPEX with a more reliable, predictable, and auditable execution model.

Q6. What exactly is the barrier?

It is not a single-point technology. It is cross-system engineering capability under extreme conditions.

The real difficulty is not making one module work. It is making mechanics, energy, control, perception, and operations all work together and remain stable over time.

Q7. Why wouldn’t a large company do this more easily?

Large companies have resources, but they are not always willing to enter through the hardest, dirtiest, and most uncertain entry point first.

The advantage of the first mover is not just speed. It is early control over product definition, failure data, and engineering learning.

Q8. What does the US$4M–6M actually buy?

It does not buy financial statements. It buys a capability inflection point.

This capital moves the project from conceptual judgment to engineering viability, and from internal development to North American pilot entry.

Q9. Is it too early to talk about business model?

No.

We do not need to lock a single business model yet, but we do need to prove the commercial loop: who pays, who accepts delivery, and who bears operating responsibility.

Q10. If this path works, what does ARCBOS become?

Not a seasonal equipment brand, and not a single-function robotics team.

It becomes an industrial robotics platform company with an extreme-environment operations capability stack.

Conclusion

ARCBOS is not chasing a short-term trend.

It is entering a market that has long existed, is already budgeted, has high consequences of failure, and has not yet been truly taken over by technology.

SnowBot is the first product, but more important is the platform capability behind it.

This is not a bet on a single piece of equipment. It is a bet on the entry point into autonomous operations in extreme environments.

If this path works, ARCBOS has the potential to become a key early company in extreme-environment industrial robotics.