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NVIDIA Inception Program

PsyArc · our technology initiative

Physical AI for commercial and utility 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 along with transport.

Explore PsyArc Talk to us
  1. 01 Speedloop Auto
  2. 02 CROC EV platform
  3. 03 PsyArc intelligence layer
  4. 04 Application-specific Physical AI
  5. 05 Commercial and utility work
PsyArc edge intelligence architectureSensor, vision and telemetry inputs feed the PsyArc edge core, which drives payload, control and action outputs.VISIONSENSORTELEMETRYPAYLOADCONTROLACTIONPSYARCPHYSICAL AIEDGE CORE
PHYSICAL AI LOOPSense + Decide + Control

Driving and the work

The vehicle should understand the road and the job.

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 and 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.

  1. 01

    Sense

    • Cameras
    • Thermal
    • Radar / LiDAR
    • IMU
    • Vehicle telemetry
    • Environmental sensors
  2. 02

    Perceive

    • Object detection
    • Scene understanding
    • Cargo recognition
    • Road/environment perception
    • Human/animal detection
  3. 03

    Understand

    • Application context
    • World model
    • Environmental conditions
    • Vehicle state
    • Task state
  4. 04

    Decide

    • Application-specific AI
    • Planning
    • Optimisation
    • Task decisions
    • Risk assessment
  5. 05

    Act

    • Vehicle controls
    • Robotic manipulation
    • Brushes
    • Cooling/heating
    • Lighting
    • Navigation
  6. 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.

  1. 01PsyArc
  2. 02Physical AI intelligence layer
  3. 03CROC EV / commercial & utility vehicles
  4. 04Application + payload
  5. 05Specific work
  6. 06Physical action
CROC EV with parcels packed in its box

LogisticsDevelopment direction

Intelligent Cargo Handling

From carrying cargo to understanding cargo.

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.

  1. Parcel arrives
  2. Vision / OCR
  3. Destination identified
  4. Sorting decision
  5. Physical sorting
  6. Delivery
  • Parcel recognition
  • OCR / barcode recognition
  • Destination classification
  • Route-aware cargo sequencing
  • Parcel sorting
  • Robotic loading/unloading
  • Delivery verification
Agricultural field and farm rows

AgricultureFuture capability

Autonomous Farm Logistics

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

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

  1. Harvest worker
  2. Crop / bin detection
  3. CROC
  4. Follow / navigate
  5. Collection point
  • Orchard logistics
  • Vineyard logistics
  • Fruit and vegetable collection
  • Crate/bin movement
  • Farm material movement
  • Worker-following
  • Tool/equipment transport
Drone flying over an outdoor work area

Drone OperationsTechnology roadmap

Mobile Drone Base

Ground + Air Robotics

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.

  1. CROC navigates
  2. Mission zone
  3. Drone launches
  4. Aerial mission
  5. Data collection
  6. Drone returns
  • Agricultural survey
  • Mapping
  • Infrastructure inspection
  • Forest surveillance
  • Remote-site monitoring
  • Security
CROC EV with standard 600 x 400 bins in its box

IndustrialDevelopment direction

Autonomous Material Movement

Autonomous material movement for the spaces between machines.

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.

  1. Task scheduled
  2. Route planned
  3. Obstacle detection
  4. Docking
  5. Material moved
  6. Task verified
  • Warehouse movement
  • Yard movement
  • Loading dock support
  • Factory / production area movement
  • Trailer awareness
  • Follow-me
  • Route optimisation
CROC EV with folded linen in its box

CampusRoadmap

Autonomous Campus Utility

An autonomous utility workhorse for large campuses.

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

  1. Campus task
  2. Payload attached
  3. Route selected
  4. CROC + trailer
  5. Drop-off
  6. Return / next task
  • University campuses
  • Corporate campuses
  • Hospital campuses
  • Research campuses
  • Large private campuses
  • Resorts / large properties
  • Maintenance and linen movement
CROC EV with lidded segregation bins in its box

MunicipalDevelopment direction

Intelligent City Maintenance

Road work that reacts to the road.

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.

  1. Perception
  2. Dust / debris estimation
  3. Sweeping decision
  4. Brush / suction actuation
  5. Cleaning verification
  6. Dynamic correction
  • Adaptive road sweeping
  • Waste / bin movement
  • Park maintenance
  • Municipal inspection
  • Low-speed service operations
Forest road and remote patrol environment

Outdoor / SecuritySupervised autonomous patrol roadmap

Intelligent Patrol

Better visibility in difficult places.

Remote patrol covers driving and seeing people, animals, obstacles and terrain clearly enough for a supervisor to act.

  1. RGB + thermal
  2. Animal/person detection
  3. Obstacle detection
  4. Night perception
  5. Guidance
  6. Supervisor review
  • Forest patrol
  • Wildlife monitoring
  • Parks
  • Remote infrastructure
  • Security
  • Terrain perception
  • Directional projection
Solar farm infrastructure site

InfrastructureTechnology roadmap

Autonomous Site Utility

Autonomy for the spaces where infrastructure gets built and maintained.

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

  1. Site map
  2. Worker detection
  3. Inspection support
  4. Tools / spares moved
  5. Remote operation
  6. Task record
  • Solar farms
  • Construction sites
  • Utility sites
  • Telecom infrastructure
  • Water infrastructure
  • Wind farms
  • Drone and sensor payloads

Emerging applications

More possibilities

These are possible future uses, with no launch announced: 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

Born on CROC, designed to move beyond it

Different jobs. Different payloads. One intelligence layer.

  • CROC + Cargo
  • CROC + Trailer
  • CROC + Agricultural Module
  • CROC + Sweeper
  • CROC + Refrigerated Box
  • CROC + Drone Station
  • CROC + Waste Module
  • CROC + Maintenance Trailer
  • CROC + Surveillance Module

From assistance to autonomy

Roadmap: from assistive tools to task control.

This is a roadmap and makes no claim about deployment. The first steps are perception and assistance; deeper task control comes after the system proves itself in the field.

  1. Level 01

    PsyArc Assist

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

  2. Level 02

    PsyArc Adaptive

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

  3. Level 03

    PsyArc Autonomous

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

  4. Level 04

    PsyArc Full Physical AI

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

CROC EV, built on RT100

PsyArc starts from a real, road-going vehicle.

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 in Araku Green
CROC EV on the RT100 platform
  • Purpose-built commercial vehicle
  • ARAI-certified compact reverse trike
  • Compact urban footprint
  • 100 kg payload platform envelope
  • 350-400 L cargo-space envelope
  • Electric powertrain
  • Telematics
  • Geo-fencing
  1. 01

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

  2. 02

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

  3. 03

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

See CROC EV in full →

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.

The PsyArc symbol

NVIDIA Inception Program

Inception member. Powered by NVIDIA.

We are a member of the NVIDIA Inception Program. PsyArc is built with NVIDIA at the edge: compute for perception, inference and robotics workloads inside real work-vehicle applications.

  • NVIDIA Inception member
  • Powered by NVIDIA
  • Built for edge AI
NVIDIA Inception Program

Why now

The timing is 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.

  1. 01

    AI models are moving to the edge

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

  2. 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.

  3. 03

    EV platforms are already software platforms

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

  4. 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.

  5. 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.

Build it with us Explore CROC EV

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

An illustration of connected work vehicles