Ambition·Sustainable·Horizon
ASH Robotic

The new generation of automation.

Our Mission

The infrastructurefor autonomousheavy logistics.

ASH combines autonomous heavy vehicles, battery swapping, fleet intelligence and upgradeable electronics into one infrastructure layer, starting with ports.

ASH P1 is the first vehicle being developed on this architecture.

What ASH stands for

Three letters, three commitments.

Three commitments behind the infrastructure: ambition in the system, sustainability through serviceability, and a horizon beyond the first application.

Ambition

Build the infrastructure for autonomous heavy logistics, beginning with a defined port and industrial operating envelope.

Sustainable

Keep useful hardware in service through repair, battery asset management and controlled electronics upgrades. Longevity and lifecycle impact must be measured.

Horizon · the future path

Ports first. Corridors later. Expand the infrastructure only after the first application is physically validated and the next operating envelope is approved.

The problem

Ports are electrifying. Heavy fleets can't keep up.

Electrification changes more than the vehicle. Charging schedules, power demand, electronics upgrades and mixed-fleet coordination all affect the work a terminal can deliver. ASH addresses these as one infrastructure problem.

01

Isolated vehicle decisions

A route can work for one vehicle while creating queues for the fleet. Mission planning needs to account for shared lanes, handling equipment and energy availability.

02

The energy bottleneck

On-vehicle charging ties up the vehicle. Clustered charging can concentrate power demand; moving charging off the vehicle creates a different scheduling problem to manage.

03

The obsolescence gap

Compute, sensors and batteries follow different upgrade cycles from a heavy chassis. Fixed interfaces can turn a component change into a much larger replacement project.

04

The brownfield and certification gap

Existing terminals have real clearances, people, mixed equipment and operating constraints. Retrofit compatibility, safety evidence and site integration must be established before deployment.

First vehicle · design targets

ASH P1

Heavy. Electric. Autonomous.

ASH P1 is the first physical platform being developed for ASH infrastructure: heavy electric mobility connected to ASH Dock energy services, ASH AI / NEXUS intelligence and a separate deterministic safety core. The specifications below are design targets, pending physical validation.

Target specifications
Concept sequence
Swap. Check. Charge. Reuse.
<3 min target
≈15×3×2m
Concept dimensions
<3min
Swap target
100%electric
Drivetrain
24/7target
Continuous operation

Platform

Concept dimensions
≈ 15 × 3 × 2 m
Class
Large industrial model: up to 50 t payload target
Cargo handling
Load restraint and handling interfaces under development

Energy

Drivetrain
Electric · ZEN 77 PLUS-class NMC reference
Energy
6 independent packs · 3 per side · 6 × 77 kWh nominal reference
Battery swap
Individual pack extraction · <3 min vehicle swap target; unmeasured

Intelligence

Decision layer
ASH AI / NEXUS · simulation and research
Fleet
Fleet routing and battery scheduling architecture

Safety

Systems
Emergency stop, LiDAR, obstacle detection
Architecture
Deterministic core, independent of the AI

Operation

Continuous operation target
24/7 duty-cycle intent; availability to be measured
Large model speed target
20 km/h maximum · approx. 65 t gross industrial target
ASH P1 · Mobility
ASH Dock · Energy
Upgradeable Electronics
ASH NEXUS · Intelligence
Future Corridor Expansion
24/7 Operation · Target
ASH P1 · Mobility
ASH Dock · Energy
Upgradeable Electronics
ASH NEXUS · Intelligence
Future Corridor Expansion
24/7 Operation · Target
Simulation

See ASH P1 in real time.

Explore ASH P1, modular service drawers and six independent battery packs. Follow the ASH Dock concept through dual-side extraction, battery screening and charging storage. Horizon and Atlas show future extensions.

Concept preview

Interactive design concept. Geometry, motion and timing illustrate the architecture; physical performance and safety remain to be validated.

Drag to orbit · scroll to zoom · keys 1 to 7 switch modes

Capabilities

One architecture, connected capabilities.

Five connected parts of ASH: mobility, cargo handling, energy, fleet intelligence and future expansion. P1 is the first vehicle in this infrastructure, not the entire system.

01

ASH P1 · Mobility

The first vehicle in the ASH architecture, designed for autonomous heavy movement across quays, yards and loading zones. Real-site capability remains a validation milestone.

Mobility infrastructure · in development
02

Heavy Cargo Movement

A heavy-duty platform concept for container and industrial cargo. Payload, load restraint, axle loads, braking and structural fatigue require physical validation before a rated capacity can be claimed.

Heavy-duty design · capacity targets
03

ASH Dock · Energy

Energy infrastructure built around fleet uptime: robotic swapping of six independent packs, three per side, with battery screening, charging, storage and healthy-pack allocation.

6 independent packs · <3 min target
04

Fleet Intelligence

ASH AI connects mission planning, vehicle state, battery availability and Dock scheduling. NEXUS adds evidence-controlled decision research; the independent safety core retains motion authority.

Fleet orchestration architecture
05

Atlas Mode · Concept

A future coordinated heavy-lift configuration where multiple P1 units operate as a synchronized platform for oversized cargo. Coupling, control and combined load capacity remain engineering work.

Future expansion · capacity unvalidated
Safety & validation

Designed for a defensible safety case.

Independent safety authority, serviceable hardware and traceable evidence guide the architecture. Compliance must be established for the actual vehicle, operating environment and target market; it cannot be inferred from the concept or from keeping AI separate.

Earn the safety case

The next evidence comes from hardware integration, fault testing and controlled operation. Keeping AI proposals separate from safety authority makes responsibilities clearer; it is not a certification shortcut or a guarantee of safe behavior.

An evidence-led approval path

Applicable industrial, electrical and machinery requirements must be mapped to the final configuration and site. Road use needs its own assessment. Architecture choices do not remove conformity-assessment obligations.

Brownfield fit

Turning envelopes, stopping distances and clearances must be validated against the existing site. Multi-axle steering is a design approach, not evidence of a quantified turning-radius improvement.

A deterministic safety core

Brake, steering, stop and health-monitoring functions need defined failure behavior and physical tests. The proposed deterministic safety core is separate from the AI and wireless mission layer.

Open, mixed fleet

Interoperability with existing vehicles, people and terminal systems is a development target. Each integration needs interface checks, operating rules and site-specific validation.

Trusted supply chain, trusted data

Supplier traceability, data location and access control are procurement and engineering requirements to agree with each operator. Final supply-chain choices and deployment controls remain to be verified.

Independent safety authority · traceable tests · configuration-specific assessment

Current stage: architecture and simulation work. Physical validation, conformity assessment and operational approval remain ahead.

System-level intent

The edge is structural, not a speed race.

A comparison of operating approaches, not a claim that every conventional fleet is the same or that ASH outcomes have already been measured.

Vehicle-level vs fleet-level planning
Others
Vehicle first
Optimize individual missions
ASH
Fleet coordinated
Coordinate missions, battery supply and Dock availability
Fixed vs upgradeable electronics
Others
Fixed interfaces
Hardware changes can require wider replacement
ASH
Modular service
Replace compute and sensors through controlled interfaces
On-vehicle vs off-vehicle charging
Plug-in fleet
Vehicle waits
The vehicle stays connected during charging
ASH
Energy prepared
Charge stored packs while vehicles return to work
Architecture

ASH infrastructure, one connected architecture.

Mobility, energy, intelligence, serviceability and future expansion are designed as one system. P1 is the first physical platform; Dock manages battery services; ASH AI / NEXUS develops fleet and decision intelligence. Upgradeable electronics keep the architecture adaptable.

04

Intelligence Layer

ASH AI · perception and planning·NEXUS · evidence-controlled decisions·Independent deterministic safety authority·Fleet orchestration
03

Expansion Layer

Horizon / Atlas / mission modules · future concepts
02

Energy Layer

ASH Dock + battery-service network
01

Mobility Layer

ASH P1 · modular heavy electric platform
Modularity

Built to be upgraded, not replaced.

The chassis, electronics and batteries have different service lives. ASH is designed to separate them: keep serviceable structural hardware, replace worn packs, and upgrade compute and sensing through defined interfaces.

ComputeSide-access service drawers for replaceable compute boards.
PerceptionModular cameras and sensors with controlled mounting and recalibration.
EnergySix independently serviceable packs; chemistry changes require revalidation.
SoftwareVersioned updates, traceable configuration and regression testing.
The chassisA long-life structural asset, subject to fatigue and durability validation.

Asset life economics

Measure service life, upgrade cost and downtime to test the lifecycle economics.

Capital protected

The intent is to extend useful asset life across technology generations, subject to interface compatibility and safety revalidation.

A recurring upgrade line

Upgrading in place opens a recurring retrofit and upgrade revenue line for ASH.

A long-life chassis is the target. Faster-changing electronics, sensors and batteries are designed for controlled replacement.

One chassis · controlled upgrades · service life to validate

Engineering

Built like heavy industry.

ASH is a vision, engineered like infrastructure. Five principles shape every design decision.

/ 01

Heavy duty cycle by design

Load paths, fatigue, axle loads, braking and stability are being developed for industrial duty. Ratings require analysis and physical tests.

/ 02

Modular battery interface

Six independent packs, three slides per side, with controlled mechanical, electrical and thermal interfaces. Preserve the supplier casing and connector orientation pending engineering approval.

/ 03

Safety first autonomy

Emergency stop, obstacle detection and cargo lock are first class systems, independent of the AI.

/ 04

Deterministic core, AI on top

AI proposes actions; a separate deterministic safety core is designed to approve, limit or reject motion. Physical safety validation remains essential.

/ 05

Port grade reliability

Designed for continuous operation in harsh terminal environments, around crews and infrastructure.

Why now

The shift to heavy electric autonomy is happening now.

Electrification, automation and serviceability are converging. The opportunity is to test an integrated infrastructure approach against real operator constraints.

01

Electrification is a system decision

A fleet transition also changes charging, grid access, maintenance and operating procedures. These interfaces need to be designed together.

02

Utilization needs coordination

Vehicle, handling-equipment and energy schedules interact. ASH aims to evaluate them at fleet level rather than as isolated tasks.

03

Batteries need lifecycle management

The economics depend on more than pack purchase price. Health, charging strategy, service and replacement must be evaluated across the operating life.

04

Existing assets are a place to start

An existing electric AGV can provide a staged physical test platform for the architecture before the larger investment in a purpose-built P1 prototype.

Brownfield strategy

Prove the architecture. Then build around it.

The planned first physical step is an existing electric AGV, not a complete P1 build. Retrofit electronics, safety interfaces, autonomy, fleet software and battery integration; validate in controlled operation; then use that evidence to develop P1. This staged approach aims to resolve technical and capital risk earlier.

ASH Dock

Energy infrastructure, built around fleet uptime.

Arrive → robotic extraction → battery diagnostics → charging / storage → healthy-pack allocation → depart. Dock treats batteries as serviceable fleet assets, with charging and deeper testing outside the vehicle critical path.

Swap. Check. Charge. Reuse.

Concept sequence
<3 min target
  • Six independent ZEN 77 PLUS-class packs: three extraction positions per side. Final pack selection and integration remain open.
  • Screen pack identity, SOC, estimated SOH, temperature, cycle count, capacity-degradation estimates and BMS anomaly / fault data.
  • Route suitable packs to charging / storage; send exceptions to deep diagnostics or service / quarantine.
  • Full capacity measurements and complete electrochemical impedance tests take place outside the swap window. Prototype swap timing is still unmeasured.
Ideal for Port and industrial validation programs
Economics

The economics to validate.

The intent is less vehicle downtime, managed charging demand and serviceable battery assets. These are pilot questions, not measured ASH savings. Duty-cycle data and battery aging tests must establish the economics.

01
Uptime
Energy downtime

Compare actual charging and swap downtime, including travel, queues and pack availability. Measure the vehicle count needed for the same workload before claiming fleet savings.

Pilot metric · productive vehicle hours
02
Health
Battery life

Track each pack through use, screening, charging and service. Battery life depends on chemistry, temperature, charge rate and duty cycle; a lifetime multiplier needs comparable test data.

Pilot metric · degradation and service cost
03
Demand
Grid load

Stored packs create flexibility to schedule charging. Peak power and infrastructure cost still depend on fleet energy demand, reserve inventory, charging limits and the site connection.

Pilot metric · peak power and energy per move
Battery as a Service

Batteries as serviceable fleet assets.

Battery as a Service is a proposed commercial model: combine pack availability, health tracking, charging and maintenance in an energy service. Ownership, pricing, warranties and responsibilities must be agreed with operators and financing partners.

  • Track each battery as an identifiable, serviceable asset
  • Define availability, maintenance and end-of-life responsibilities
  • Validate unit economics before quoting recurring margins

Target uptime · measured battery health · managed charging · economics to validate

Illustrative assumptions

Swap vs fast charge, on your fleet.

Explore a simplified comparison using legacy scenario assumptions. This calculator has not been recalibrated to the six-pack NMC architecture and does not predict ASH P1 performance, battery life, fleet savings or a site quote.

Fleet size20AGVs
Moves per day, per AGV120moves
Electricity price0.12$/kWh
Swap scenarioFast-charge scenario
Energy downtime / AGV day18 min4.9 h
Vehicles for the same cargo2025
Battery service life2.75×
Station grid peak1.5 MW4.5 MW
Energy cost / move$0.559$0.696

Fixed assumptions, not validated results: 18 min/day vs 4.9 h/day downtime, 1.25× fleet factor and 2.75× battery-life factor. These coefficients are illustrative and do not establish six-pack feasibility or savings.

Why ASH

A platform engineered around uptime.

Every choice in the ASH stack, heavy payload, swap network, onboard AI, exists to keep vehicles moving and energy off the critical path.

01

More moves per hour

Rapid exchange and coordinated routing target more productive vehicle time. Throughput and availability must be measured in a pilot.

02

Charging off the vehicle

Packs charge in ASH Dock while vehicles return to work. Swap time, queues and pack availability still count toward downtime.

03

Smarter operations

Fleet intelligence is designed to coordinate routes, mission demand, battery availability and swap timing within defined operating constraints.

04

Cleaner operations

Zero tailpipe emissions and quieter operations near crews, cities and coastlines. Port communities feel the difference.

05

Built to scale

Add vehicles, packs and stations as berth volume and corridor demand grow, with the same architecture on day one and at full scale.

06

Lifecycle cost focus

Less idle time and serviceable components are the economic intent. Total cost depends on duty cycle, energy, maintenance and measured asset life.

Future expansion

Ports first. Corridors later.

Same infrastructure, staged expansion. Port and industrial validation comes first. Horizon is a future autonomy extension for the smaller P1 model; corridor operation depends on proven hardware, route requirements and the applicable approvals.

01 / First validation focus

Port operations

Quayside moves, yard operations and terminal logistics define the first operating envelope to investigate and validate.

02 / Future expansion

Port → dry port corridor

Horizon and a battery-service network could support the smaller P1 on defined inland routes, after configuration-specific validation and approval.

Focus

Ports first. Same infrastructure, further ahead.

ASH P1 is the first vehicle, not the whole company. Mobility, energy and intelligence are designed together, with serviceable batteries and upgradeable electronics. Prove the stack on an existing electric AGV, validate it physically, then build P1 around that evidence. Horizon and Atlas remain future extensions.

Roadmap

From prototype to fleet.

Today · Architecture

Simulation & architecture validation

Vehicle architecture, autonomy simulation, deterministic safety design and the six-pack Dock concept are under development and review.

Next · Brownfield integration

Start with an existing electric AGV

Planned first physical step: retrofit an existing electric AGV to investigate electronics, safety interfaces, autonomy, fleet software and battery integration.

Then · Controlled validation

Validate in controlled operation

Bench integration and closed-course testing precede operational pilots. Use physical evidence to resolve safety, reliability and service interfaces before a full vehicle build.

2027 · First prototype (target)

Build P1 around the validated stack

The first P1 prototype is a target, conditional on funding, integration and validation milestones. The architecture learned on existing hardware informs the purpose-built platform.

The thesis

ASH is building infrastructure that evolves: mobility, energy and intelligence designed together. P1, Dock and NEXUS share an architecture intended to let operators service batteries and upgrade electronics without replacing the entire platform.

ASH ROBOTIC
Join us

We're building the team that builds ASH P1.

Engineering roles we open as ASH grows, across vehicle structure, manufacturing, electronics and autonomy. Brought on in sequence as the build ramps. Early enough to shape the platform, close enough to touch the hardware.

15
Roles we open as we grow
FAQ

Honest answers, openly given.

ASH is building the infrastructure for autonomous heavy logistics, starting with ports: ASH P1 for mobility, ASH Dock for energy, and ASH AI / NEXUS for intelligence. Upgradeable electronics and modular interfaces connect these layers. P1 is the first vehicle being developed on this architecture.

Get in Touch

Talk to the team building ASH.

Stay close to the build.

Leave an email and the team will reach out directly with engineering updates and pilot opportunities.

For engineers, operators and investors