Canonical: https://arceight.co/technology
Reviewed: 2026-10-11
Publisher: ArcEight (https://arceight.co/about)

# Cameras. Sensors. Compute.

Our engineering core: helping machines understand Indian roads.

![Close view of the glass elements inside a camera lens](https://arceight.co/assets/road-intelligence-20261010/camera.webp)
[Optics · Matthias Oberholzer ↗](https://unsplash.com/photos/black-camera-lens-in-macro-shot-9McgL99YbV8)

## How it fits together.

![A scooter and rickshaws sharing a narrow street in Agra](https://arceight.co/assets/road-intelligence-20261010/traffic.webp)
[Agra · Laura Lezman ↗](https://unsplash.com/photos/traffic-in-a-crowded-indian-city-hEzuJdabFkk)

## Collect road data.

Timestamps, location context, labels and data review. Collection permissions and data rights come first.

[Right Field SDK ↗](https://arceight.co/developers#right-field)

![Close view of the glass elements inside a camera lens](https://arceight.co/assets/road-intelligence-20261010/camera.webp)
[Optics · Matthias Oberholzer ↗](https://unsplash.com/photos/black-camera-lens-in-macro-shot-9McgL99YbV8)

## Combine sensor inputs.

Calibration, synchronisation and perception interfaces, with GPU processing at the core.

[Sensor Fusion SDK ↗](https://arceight.co/developers#sensor-fusion)

![Traffic on a New Delhi street after dark](https://arceight.co/assets/road-intelligence-20261010/road.webp)
[New Delhi · Arvind Rawat ↗](https://unsplash.com/photos/a-city-street-filled-with-lots-of-traffic-at-night-oRFSQIUkelU)

## Add road context.

An interface for road connections, restrictions and changing conditions.

[RoadGraph SDK ↗](https://arceight.co/developers#roadgraph)

![A scooter and rickshaws sharing a narrow street in Agra](https://arceight.co/assets/road-intelligence-20261010/traffic.webp)
[Agra · Laura Lezman ↗](https://unsplash.com/photos/traffic-in-a-crowded-indian-city-hEzuJdabFkk)

## Test with scenarios.

A toolkit for sensor replay and repeatable evaluation before controlled trials.

[Scenario SDK ↗](https://arceight.co/developers#scenario)

![Electronic components and traces on a circuit board](https://arceight.co/assets/road-intelligence-20261010/circuit.webp)
[Electronics · Adrien ↗](https://unsplash.com/photos/a-close-up-view-of-a-computer-circuit-board-V_LLeXrAhpQ)

## Run on the vehicle.

A runtime for deployment, latency, power and system-health monitoring. Hardware support is to be defined.

[Edge Runtime SDK ↗](https://arceight.co/developers#edge-runtime)

![A scooter and rickshaws sharing a narrow street in Agra](https://arceight.co/assets/road-intelligence-20261010/traffic.webp)
[Agra · Laura Lezman ↗](https://unsplash.com/photos/traffic-in-a-crowded-indian-city-hEzuJdabFkk)

## AGI for the physical world.

We’re working on the road data and computing foundations that future general-purpose intelligence will need.

[Development timeline ↗](https://arceight.co/#roadmap)

## Work with us.

[Explore partnerships ↗](https://arceight.co/partners)

![Hands soldering components on an electronics workbench](https://arceight.co/assets/road-intelligence-20261010/workbench.webp)
[Electronics work · Blaz Erzetic ↗](https://unsplash.com/photos/man-fixing-the-device-using-soldering-iron-uM9Fz2eVhIM)

### OEMs

Cameras, sensors and GPU integration.

[Discuss integration ↗](https://arceight.co/partners?interest=OEM%20provider#contact)

![A scooter and rickshaws sharing a narrow street in Agra](https://arceight.co/assets/road-intelligence-20261010/traffic.webp)
[Agra · Laura Lezman ↗](https://unsplash.com/photos/traffic-in-a-crowded-indian-city-hEzuJdabFkk)

### Data partners

Road-data collection across India.

[Share road data ↗](https://arceight.co/partners?interest=Data%20partner#contact)

![Electronic components and traces on a circuit board](https://arceight.co/assets/road-intelligence-20261010/circuit.webp)
[Electronics · Adrien ↗](https://unsplash.com/photos/a-close-up-view-of-a-computer-circuit-board-V_LLeXrAhpQ)

### Universities

Perception, simulation and joint research.

[Discuss research ↗](https://arceight.co/partners?interest=University%20/%20research#contact)

## Questions.

Reviewed 11 October 2026

### What is sensor fusion?

Sensor fusion combines measurements from several sensors into a shared view. In a vehicle, this can help estimate where road users are and how they move. [Read the sensor fusion guide](https://arceight.co/learn/sensor-fusion).

### Why process data on the vehicle?

Onboard computing processes sensor inputs close to where they are captured. Our work includes running perception models and measuring latency, power use and system health. [See Edge Runtime SDK](https://arceight.co/developers#edge-runtime).

### Why collect Indian road data?

Indian roads include mixed traffic and varied road layouts. Local data helps test systems against those conditions. The [India Driving Dataset](https://idd.insaan.iiit.ac.in/) documents these challenges.

### How will the system be tested?

Our development path includes recorded-data replay, simulation, hardware integration and controlled-site trials. We have not published validated road-autonomy results. [Read about self-driving in India](https://arceight.co/learn/self-driving-cars-india).