Halo · Vehicle-Aware AI

Autonomous Driving with Contextual Awareness.

The vehicle senses the road now and beyond.

Discipline — Autonomy + V2X
Approach — End-to-End AI
The Approach

Three disciplines, one vehicle.

Most autonomy stops at the windshield. Halo extends it — pairing on-vehicle intelligence with a wider, networked sense of context. Together they form a single, situationally-aware driver.

01
Vehicle-Aware AI

A learned model of the vehicle itself — its dynamics, sensor envelope, and how it behaves in the world. The driver knows what it can do, before deciding what to do.

02
Autonomy

An end-to-end neural stack that perceives, reasons and acts — fully learned from data. No hand-coded rules. The driving behaviour comes from experience, not a rule tree.

03
Contextual Awareness

V2X turns each vehicle into a node in a wider mesh — sharing intent, hazards and road state with infrastructure and other vehicles, beyond the line-of-sight of any single sensor.

The vehicle senses the road. The network senses what's beyond it.

How it works

A driver that learns by driving.

Four stages, one continuous loop. Sensor data becomes scene understanding becomes motion — and every kilometre driven sharpens the model that drives the next.

01 / Perceive
Perceive
Cameras · LiDAR · Radar

A 360° sensor cone fuses cameras, multi-layer LiDAR, short and long-range radar, ultrasonic, IMU and GNSS into a single coherent view of the road.

02 / Understand
Understand
E2E Neural Net

A single end-to-end model reasons about agents, intent and physics. One network — perceiving, predicting and planning, learned from data.

03 / Act
Act
Motion · Drive-by-Wire

Smooth, decisive trajectories pushed to brake, throttle and steering through a hardened vehicle API. Electric and combustion platforms supported.

04 / Learn
Learn
V2X Mesh

A V2X mesh shares context across vehicles and infrastructure. Edge cases flow back into training. Each vehicle improves the next.

ViewPort · V2X Platform

The intelligence layer every fleet needs.

ViewPort connects every vehicle in your fleet to live energy, grid, weather, infrastructure and traffic data — coordinating movements, charging and deployment to keep vehicles running, energy costs down, and assets fully utilised. One API. Every fleet type.

12+
Live signal types per vehicle
~18%
Energy cost reduction per mile
V2G
Idle fleet earns grid revenue
24/7
Fleet coordination, always on
How ViewPort Works

Three layers. One platform.

01 / Ingestion
Live Signal Ingestion
12+ Signals · Single API

ViewPort continuously ingests 12+ signal types per vehicle — energy grid state, weather, road conditions, infrastructure availability, traffic and more. Every signal updates in real time via a single API.

02 / Coordination
Fleet Coordination Engine
Dispatch · Routing · Energy

The coordination engine combines live signals with vehicle condition, age, payload and application to make optimal dispatch, routing and energy decisions across the whole fleet — not just individual vehicles.

03 / Flywheel
Intelligence Flywheel
Continuous · Compounding

Every trip, every charge cycle and every deployment teaches ViewPort more about your fleet and environment. The platform compounds intelligence over time — each vehicle makes every other vehicle smarter.

Fleets don't fail from bad vehicles. They fail from bad coordination.

Building the aware vehicle.

We're working with OEMs, fleet operators, infrastructure partners and researchers shaping the next generation of road autonomy. If that's you — say hello.