Industry: Automotive

Data for the software-defined vehicle.

In-cabin, road and 3D data for ADAS, autonomous driving and connected-car AI — captured and labeled to automotive-grade standards.

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How we help

Data across the automotive stack

From driver monitoring to 3D road perception, we build and label the data automotive AI teams need.

Driver & Occupant

Driver monitoring
Occupant & gesture
Gaze & drowsiness
In-cabin scenes

Road Scenes

Detection & segmentation
Lane & drivable space
Traffic signs & lights
Edge-case scenarios

3D & LiDAR

Point-cloud labeling
Cuboids & tracking
Sensor fusion
Cross-sensor consistency

See LiDAR

Voice & HMI

In-car voice data
Multilingual commands
Wake-word sets
Noise robustness

See voice

Collection

Multi-sensor rigs
Route & scenario capture
Consent & privacy
Region diversity

See collection

Validation

Automotive-grade QA
Gold-set benchmarking
Coverage checks
Audit reports

See validation

Why Graveiens

Why teams choose Graveiens

Compliance-first delivery and a pay-on-approval model that de-risks every engagement.

Safety & privacy

Compliant in-cabin and road data handling.

Full pipeline

Collection, annotation and validation together.

Automotive-grade QA

Consistency across frames and sensors.

Pay on approval

Invoiced only for approved deliverables.

FAQ

Questions, answered

Which automotive data do you cover?

In-cabin driver and occupant data, external road perception, 3D/LiDAR and in-car voice, captured and labeled together.

Do you meet privacy requirements?

Yes — consent-based collection, PII handling and audit trails suitable for automotive compliance.

Can you scale to large programs?

Yes — a 700+ contributor and SME network with elastic capacity.

How do we start?

A small paid pilot on a representative scenario set.

Build automotive-grade datasets

Send us a sample task. You only pay for deliverables you approve.

Book a pilot