Speedloop Auto
PsyArc - Physical AI for Commercial and Utility Vehicles

A Speedloop Auto technology initiative

Physical AI for work vehicles.

PsyArc gives compact work vehicles a way to read the scene around them and respond to the job in front of them. It connects sensors, edge compute, vehicle controls and payload hardware so the vehicle can support useful work, not just transport.

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Speedloop AutoCROC EV physical platformPsyArc intelligence layerApplication-specific Physical AICommercial / utility work
PsyArc edge intelligence architectureA technical edge AI architecture visual with sensor inputs, compute core, control loops and vehicle outputs.VISIONSENSORTELEMETRYPAYLOADCONTROLACTIONPSYARCPHYSICAL AIEDGE CORE
PHYSICAL AI LOOPSense + Decide + Control

Not just autonomous driving

The vehicle should understand the job, not only the road.

Most driver-assistance systems focus on lanes, traffic and safety alerts. PsyArc starts from the work itself: cargo, sweeping, inspection, farm logistics, patrol and other utility tasks.

Traditional ADAS

Vehicle-centric assistance

  • Safety
  • Lane awareness
  • Driver assistance
  • Collision avoidance
  • Vehicle-centric

PsyArc

Vehicle + job intelligence

  • Perception
  • Reasoning
  • Task intelligence
  • Physical actuation
  • Application optimisation

The PsyArc intelligence stack

Perceive, understand, decide, act and learn.

The stack ties sensors, edge compute, vision, vehicle controls and task logic into one loop. The point is practical: help the vehicle do the job it was fitted for.

01

Sense

  • Cameras
  • Thermal
  • Radar / LiDAR
  • IMU
  • Vehicle telemetry
  • Environmental sensors
02

Perceive

  • Object detection
  • Scene understanding
  • Cargo recognition
  • Road/environment perception
  • Human/animal detection
03

Understand

  • Application context
  • World model
  • Environmental conditions
  • Vehicle state
  • Task state
04

Decide

  • Application-specific AI
  • Planning
  • Optimisation
  • Task decisions
  • Risk assessment
05

Act

  • Vehicle controls
  • Robotic manipulation
  • Brushes
  • Cooling/heating
  • Lighting
  • Navigation
06

Learn

  • Operational data
  • Performance feedback
  • Model improvement
  • Fleet learning

One intelligence layer. Many jobs.

One system. Many jobs.

The same core architecture can sit under very different work. Change the payload and workflow, keep the intelligence layer underneath.

01PsyArc
02Physical AI intelligence layer
03CROC EV / commercial & utility vehicles
04Application + payload
05Specific work
06Physical action
Parcel logistics inside a warehouse
Logistics

Intelligent Cargo Handling

From carrying cargo to understanding cargo.

Development direction
  1. Parcel arrives
  2. Vision / OCR
  3. Destination identified
  4. Sorting decision
  5. Physical sorting
  6. Delivery
Parcel recognitionOCR / barcode recognitionDestination classificationRoute-aware cargo sequencingParcel sortingRobotic loading/unloadingDelivery verification

For logistics, PsyArc starts with a simple idea: the vehicle should know what it is carrying, where it is going, and what needs to happen next.

Agricultural field and farm rows
Agriculture

Autonomous Farm Logistics

Designed to enable field-to-collection-point movement.

Future capability
  1. Harvest worker
  2. Crop / bin detection
  3. CROC
  4. Follow / navigate
  5. Collection point
Orchard logisticsVineyard logisticsFruit and vegetable collectionCrate/bin movementFarm material movementWorker-followingTool/equipment transport

Farm work is full of short, repetitive moves. This direction explores how CROC-style vehicles can support collection, tools, bins and worker-following tasks.

Drone flying over an outdoor work area
Drone Operations

Mobile Drone Base

Ground + Air Robotics

Technology roadmap
  1. CROC navigates
  2. Mission zone
  3. Drone launches
  4. Aerial mission
  5. Data collection
  6. Drone returns
Agricultural surveyMappingInfrastructure inspectionForest surveillanceRemote-site monitoringSecurity

The vehicle can become a moving base station: drive to the work zone, launch a supervised drone mission, collect data, then move to the next point.

Industrial factory floor with equipment
Industrial

Autonomous Material Movement

Autonomous material movement for the spaces between machines.

Development direction
  1. Task scheduled
  2. Route planned
  3. Obstacle detection
  4. Docking
  5. Material moved
  6. Task verified
Warehouse movementYard movementLoading dock supportFactory / production area movementTrailer awarenessFollow-meRoute optimisation

Factories and yards have a lot of movement between machines. PsyArc is aimed at those short, useful runs where a full-size vehicle is too much.

Large institutional campus buildings
Campus

Autonomous Campus Utility

An autonomous utility workhorse for large campuses.

Roadmap
  1. Campus task
  2. Payload attached
  3. Route selected
  4. CROC + trailer
  5. Drop-off
  6. Return / next task
University campusesCorporate campusesHospital campusesResearch campusesLarge private campusesResorts / large propertiesMaintenance and linen movement

Large campuses need small utility movement all day. The focus here is packages, maintenance material, linen, food, waste and trailer-based work.

Urban street and city maintenance environment
Municipal

Intelligent City Maintenance

Road work that reacts to the road.

Development direction
  1. Perception
  2. Dust / debris estimation
  3. Sweeping decision
  4. Brush / suction actuation
  5. Cleaning verification
  6. Dynamic correction
Adaptive road sweepingWaste / bin movementPark maintenanceMunicipal inspectionLow-speed service operations

For sweeping and city maintenance, the useful loop is practical: see the road, choose the right cleaning action, run the tool, and check the result.

Forest road and remote patrol environment
Outdoor / Security

Intelligent Patrol

Better visibility in difficult places.

Supervised autonomous patrol roadmap
  1. RGB + thermal
  2. Animal/person detection
  3. Obstacle detection
  4. Night perception
  5. Guidance
  6. Supervisor review
Forest patrolWildlife monitoringParksRemote infrastructureSecurityTerrain perceptionDirectional projection

Remote patrol is not only about driving. It is about seeing people, animals, obstacles and terrain clearly enough for a supervisor to act.

Solar farm infrastructure site
Infrastructure

Autonomous Site Utility

Autonomy for the spaces where infrastructure gets built and maintained.

Technology roadmap
  1. Site map
  2. Worker detection
  3. Inspection support
  4. Tools / spares moved
  5. Remote operation
  6. Task record
Solar farmsConstruction sitesUtility sitesTelecom infrastructureWater infrastructureWind farmsDrone and sensor payloads

Infrastructure sites need tools, spares, inspection equipment and sensors moved reliably. PsyArc gives that work a vehicle-native intelligence layer.

Emerging applications

More possibilities

These are not launch claims. They are places where the same vehicle-plus-payload architecture can become useful as the hardware and workflows mature.

Airport operations Hospitality & resorts Landscaping Cold chain Mobile food Waste & recycling Retail / big-box Healthcare logistics Mining / quarry utility Emergency / incident response
Different jobs. Different payloads. One intelligence layer.Born on CROC. Designed to move beyond CROC.

From assistance to autonomy

Roadmap: from assistive tools to task control.

This is a roadmap, not a deployment claim. The first steps are perception and assistance; deeper task control comes after the system proves itself in the field.

Level 01

PsyArc Assist

  • Perception
  • Alerts
  • Monitoring
  • Driver assistance
  • Application analytics
Level 02

PsyArc Adaptive

  • Application optimisation
  • Automated control
  • Closed-loop operation
  • Environmental adaptation
Level 03

PsyArc Autonomous

  • Autonomous navigation
  • Task execution
  • Multi-sensor perception
  • Decision making
Level 04

PsyArc Full Physical AI

  • Perception
  • Reasoning
  • Navigation
  • Manipulation
  • Autonomous task completion

CROC EV reference platform

PsyArc starts from a real vehicle, not a lab demo.

CROC EV gives PsyArc hard constraints to work against: packaging, power, payload, controls, certification, cost and field reliability. That keeps the intelligence layer grounded in vehicle work from day one.

CROC EV compact commercial cargo vehicle top view
CROC EV / UrbanCarrier C80 reference platform
Purpose-built commercial vehicleARAI-certified compact reverse trikeCompact urban footprint100 kg payload platform envelope350-400 L cargo-space envelopeElectric powertrainTelematicsGeo-fencing

A production-intent compact commercial EV gives the AI roadmap real packaging and power limits.

Payload use cases, telematics, controls and certification are part of the starting point.

Field feedback can shape perception, task logic and control behaviour without guessing from simulations alone.

PsyArc Inside

Intelligence, built into the vehicle.

PsyArc can become the badge for a vehicle that carries its own work intelligence: perception, decision, control and action in one system.

PsyArc symbol

NVIDIA Inception Program

NVIDIA Inception member. Powered by NVIDIA.

PsyArc is being built with NVIDIA at the edge: compute for perception, inference and robotics workloads inside real work-vehicle applications.

Speedloop Auto is a member of the NVIDIA Inception Program. PsyArc is powered by NVIDIA for edge AI workloads across perception, inference and task intelligence.

NVIDIA Inception memberPowered by NVIDIABuilt for edge AI
PPartner
NVIDIA Inception Program

Why now

The timing is finally right for Physical AI in work vehicles.

Edge AI, cheaper sensors, software-defined EVs and bounded autonomous workflows are converging. PsyArc turns those trends into practical vehicle intelligence for real commercial work.

01

AI models are moving to the edge

Perception and inference can now run closer to the vehicle, which makes real-time work decisions more practical outside a lab.

02

Sensors are becoming usable at fleet cost

Camera, radar, thermal and vehicle telemetry are mature enough to package into commercial-duty vehicles without treating every pilot like a science project.

03

EV platforms are already software platforms

Electric powertrains, telematics, batteries and controls create a cleaner interface for intelligence, payloads and supervised autonomy.

04

Autonomy is shifting to bounded work

Low-speed routes, campuses, yards, farms and municipal operations give autonomy clearer operating domains than open-road passenger driving.

05

Fleets need learning loops

Operators want safer routes, better uptime and proof of work. Connected vehicles can turn field data into product improvement.

Our long-term vision

From intelligent vehicles to intelligent fleets.

PsyArc starts with CROC EV and specific jobs. From there, the roadmap expands into more applications, more payloads, more vehicle types and deeper OEM partnerships.

Make work vehicles smarter, one job at a time.
Future connected work vehicles illustration

Technology partners / operators / OEMs

Let's build the next generation of work vehicles.

We are looking for technology partners, operators, fleet owners and OEMs who want to bring Physical AI into real commercial and utility work.

Talk to Speedloop Explore CROC EV