Initialising bay · loading geometry…

Post-wash recheck VIN ···4Q72 · visit 7

Inspection pass 0%

  • Scratch · 40 cmDriver rear quarterAlertConfirmed new damage · owner notified
  • Headlamp not litFront passenger, outerAlertStill out · owner notified
  • Stone chipHood, driver sideKnownUnchanged since visit 4
  • Possible scratchRear deckClearRoad debris, not damage · cleared
  • Road grime · FLAG 01Driver doorClearCleared by targeted pass

Wear record · damage on file per visit

  1. 0V1
  2. 0V2
  3. 0V3
  4. 1V4
  5. 1V5
  6. 1V6
  7. 2V7

Owner notified: 1 new scratch, 1 headlamp out. Inspection documents visible condition; it is not a guarantee that every defect is detected.

  • Cleaning cycle complete
  • Recheck list resolved · 4/4
  • Owner notified · new scratch, headlamp out
  • Condition record updated · visit 7
  • Touchless, autonomous sequence

Autonomous cleaning for the autonomous age.

Computer vision, robotics and modular infrastructure — designed around the vehicle instead of the conveyor.

Pre-wash condition scanVIN ···4Q72 · visit 7

Compared with visit 6 post-wash record · Aug 12

  • NewScratch · 40 cmDriver rear quarter · Not on visit 6 record→ recheck
  • AlertHeadlamp not litFront passenger, outer · Owner alert queued · recheck lens→ recheck
  • KnownStone chipHood, driver side · Logged visit 4 · unchanged
  • RecheckPossible scratchRear deck · Could be debris · recheck clean→ recheck
  • RecheckRoad grime · FLAG 01Driver door · Targeted clean planned→ recheck

Post-wash recheck list: 0/4 items

Autonomous vehicle care

Car washes need an upgrade.

Autonomous. Touchless. Precision-cleaned.

The problem

Car washes were built to move volume.

Brushes, cloth strips and a fixed conveyor treat every car the same way, and repeated contact is a known source of swirl marks and wear.

The Jax World approach

The Carwash‑O‑Matic is designed to preserve the vehicle while cleaning it.

  • Autonomous.
  • Touchless.
  • Precision-cleaned.

02 · Computer vision

See the vehicle before touching the vehicle.

Computer vision builds a vehicle-specific cleaning profile before the wash begins. Tail fins, bubble canopies, whitewalls: whatever drives in gets mapped.

  • Scan first.
  • Understand the geometry.

02 · Condition check

Inspect before we clean.

This car has been through Jax World six times. Every mark is compared with its last post-wash record: new damage is flagged, known marks are tracked, and anything uncertain goes on a recheck list.

03 · Two exterior arms

Built to move around the car — not force the car through a fixed machine.

Vehicle-specific paths allow each arm to adapt its movement to the shape in front of it.

04 · Pre-rinse

Plan the path. Clean with precision.

High-pressure water follows the scanned surface: hood and rear deck, a gentler pass over the acrylic canopies, the fins, then the sides.

05 · Interchangeable nozzles

One robot. Multiple cleaning functions.

Pressurized water and cleaning chemistry can be delivered through interchangeable nozzle systems.

06 · Reposition

Every vehicle is different.

No fixed brush tunnel could clean this car without risking the fins and canopies. The arm paths here were generated from its shape.

  • Every cleaning path can be too.

07 · Wheels

Geometry-aware wheel targeting.

Rims, spokes and arches get a traced high-pressure path instead of a spinning brush.

08 · Targeted clean

Not every car needs the same wash.

Computer vision identifies areas that need additional attention and adjusts the cleaning path accordingly.

09 · Final rinse

Top down. Nothing dragged across the paint.

Spot-free water sheets the suds and loosened grime off the body, working from the roof line to the rocker panels.

10 · Homing

Machinery home. Envelope clear.

11 · Recheck and record

Clean. Verify. Document.

The cameras work through the recheck list. Dirt that looked like damage is cleared; real damage is confirmed and the owner is notified. Every visit adds to the car’s wear record.

How the wash is designed to workProduct vision

Scan. Plan. Clean. Inspect.

Conventional automatic washes move volume through a fixed machine. The Carwash-O-Matic is designed around the opposite idea: understand the vehicle first, then move the machine around it, with no brushes or cloth touching the paint.

  1. 01

    Scan

    Scan first.

    Fixed camera pylons around the bay capture the vehicle before anything moves: length, width, wheel positions, fins, canopies and other protrusions, sensitive zones, and visible contamination. The same pass is a condition check: scratches, chips and faults such as a dead headlamp are compared with the car’s last post-wash record, and anything new or uncertain goes on a recheck list.

  2. 02

    Plan

    Plan the path.

    The geometry becomes a vehicle-specific cleaning profile. Each arm gets its own path with a held standoff distance, slow zones around sensitive parts, and extra passes where contamination was found.

  3. 03

    Rinse

    Clean with precision.

    Two exterior arms ride floor-mounted XY stages on either side of the car. High-pressure water loosens road film; interchangeable nozzles then switch to foam, spot treatment and spot-free rinse.

  4. 04

    Target

    Every vehicle is different.

    Areas flagged in the first scan are revisited on purpose. The FLAG 01 smudge in the demo gets a targeted pass rather than a longer wash for the whole car.

  5. 05

    Inspect

    Inspect again.

    The same cameras work through the recheck list. Marks that were only dirt are cleared, real damage is confirmed and the owner is notified. Visit after visit, this builds a wear-and-tear record for the car, useful to owners, fleets and rental hosts alike.

The motion systemProduct vision

Precision motion, scaled to a vehicle.

Like a 3D printer coordinates multiple axes to follow a digital geometry, the Carwash-O-Matic combines a movable robotic base with a multi-axis arm to navigate the geometry of each vehicle.

X · Y gantry + Z · programmed toolpath

3D printer

  • Moving carriage on a gantry
  • Controlled axes, coordinated in time
  • Precise, programmed path from a digital model
XY floor stage + multi-axis arm · vision-derived path

Carwash-O-Matic exterior robot

  • XY mobile platform on floor rails
  • Multi-axis robotic arm on top
  • Path derived from computer vision, per vehicle

An explanatory analogy. The mechanics are not identical: a printer deposits material on a flat bed, while the Carwash-O-Matic holds a nozzle at a set standoff from a three-dimensional painted surface.

Modular infrastructureProduct vision

Car wash infrastructure that can move.

01 · Everything in the bay

Two arms, their XY floor stages, eight camera pylons, water storage, pumps, chemistry, plumbing, compute and monitoring.

02 · Packs into one container

The design target: the primary wash hardware fits inside a standard 40 ft high-cube shipping container, so it can move by truck, rail or ship.

03 · Unfolds into the wash

On site, the container becomes the equipment core of the bay. The robots roll out onto their stages and the wash is ready for vehicles.

  • Temporary installations
  • Fleet hubs
  • Parking facilities
  • Peer-to-peer rental hubs
  • Autonomous vehicle depots
  • Permanent retail sites
CARWASH-O-MATICXY floor stages ×2Robotic arm ARobotic arm BCamera pylons ×8Water storagePump systemPlumbing & hose routingCleaning chemistryController & computeMonitoring & networkBay deck · vehicle positionEquipment core · water, chemistry, compute40 ft high-cube · 12.2 × 2.44 × 2.9 m · illustrative layout, not to scale

Modular deploymentProduct vision

Deploy. Operate. Relocate. Scale.

A traditional wash means planning, pouring and building a dedicated facility at every location. A container-based system could reduce much of that site work to a pad, utilities and a set-down, and the same unit can move when demand moves.

  • Urban parking lot

    Level-one parking, a few bays

    Concept site
  • Autonomous fleet depot

    Driverless fleet, overnight cycles

    Concept site
  • Retail car-wash site

    Roadside, drive-up customers

    Concept site
  • Airport rental-car return

    High turnover between renters

    Concept site

Illustrative environments. No Jax World sites are deployed.

The thesis · physical AI

AI should move more than pixels.

Machine learning is creating a great deal of value in software. Jax World's thesis is to point that intelligence at a service people buy again and again in the physical world.

Vehicle cleaning is frequent, local and badly served by fixed machines that treat every car the same. It is a good fit for perception plus robotics: the models that understand one car’s shape can plan the path for the next one, and every wash adds to what the system has seen.

The opportunity is the combination. Computer vision alone is a feature, and a car wash alone is a local business. Together, running on modular hardware, they become a repeatable physical service that can be monitored and improved from one place.

  • Computer vision
  • Robotics
  • Automation
  • Physical infrastructure
  • Recurring consumer demand

A recurring physical-world service

vision · motion · infrastructure · demand

The autonomous vehicle futureProduct vision

Vehicles may become autonomous. They still get dirty.

As more vehicles are shared, fleet-operated and eventually driverless, fewer of them have an owner on hand to notice grime, damage or a mess. Fleets could need cleaning, inspection and condition records that run without a person present.

  1. Human-owned vehicles

    Today’s drivers and their cars.

  2. Peer-to-peer fleets

    Shared cars that change hands daily.

  3. Commercial fleets

    Delivery, rental and service vans.

  4. Autonomous fleets

    No driver on board to notice the dirt.

JAX WORLDCarwash-O-Maticno driverno driverno driverno driverno driver

RoadmapFuture phase

Phase II — autonomous interior cleaning.

The long-term architecture leaves room for two interior robots alongside the two exterior arms. Interior cleaning is an unsolved robotics problem, and it is presented here as future product development, not a working capability.

interior robot C · futureinterior robot D · future
  • Vacuuming Future development

    Seats, footwells and cargo areas.

  • Surface cleaning Future development

    Dash, console, door cards and touchscreens.

  • Targeted stain treatment Future development

    Spot work on spills found by the cabin scan.

  • Cabin inspection Future development

    Left-behind items, damage and condition records.

Robot architecture

Exterior AProduct vision
Exterior BProduct vision
Interior CFuture phase
Interior DFuture phase

Operating platformProduct vision

Centralized intelligence. Distributed infrastructure.

The proposed operating model: every Jax World location reports to one control platform. Robot health, wash quality, chemistry, cameras and exceptions are watched centrally, so each site needs relatively little local labor to run to the same standard.

JAX WORLD OPSConcept interface · sample data · no live network

Locations online

5/5

Vehicles cleaned today

412

Wash quality · first-pass verified

97.8%

Maintenance alerts

3 2 attention 1 paused

LocationRobotsCamerasChemistryWaterException flag
Site 01 · Fleet depot Nominal8/882%74%—
Site 02 · Airport return Nominal8/846%61%—
Site 03 · Parking garage Attention7/868%88%Lens C4 needs wipe
Site 04 · Retail pad Nominal8/819%55%Foam concentrate low
Site 05 · AV depot Paused8/890%93%Arm B paused · E-stop test
0102030405HQ

Remote diagnostics

09:41 S05 arm B · scheduled E-stop test · paused by operator

09:37 S03 camera C4 · contrast drop · wipe cycle queued

09:30 S04 foam concentrate 19% · refill ordered

09:12 S02 vehicle 4Q72 · FLAG 01 cleared · record filed

Founder stage · building the first prototype

Build the future of vehicle care.

Jax World is looking for partners, engineers and investors who want to see a real Carwash-O-Matic prototype. Washes can’t be booked yet; the system is in development.