Autonomous vehicles & ADAS
Multi-sensor perception and validation data for ADAS and autonomous driving programs.
License verified datasets for autonomous vehicles, robots, and industry, or contribute your own sensor data and earn from every license. One neutral marketplace between the physical world and the models that run on it.
Every dataset is verified and ready to train. Browse by domain, or stream straight into training.
Multi-sensor perception and validation data for ADAS and autonomous driving programs.
Manipulation, navigation, and tracking data for warehouse and mobile robots.
Real-world task footage for humanoids and general-purpose robots learning to act.
Aerial inspection and digital-twin capture for infrastructure and energy assets.
Deepen Refinery is infrastructure, not a competitor. We don't build models. We don't keep your data. We don't train competing systems. Every dataset is verified, with full provenance.
We refine and verify data. We never build models that compete with our customers.
Your data moves through the pipeline. We retain no rights to use it elsewhere.
Every foundation-model lab can trust Deepen as an independent supplier.
An immutable chain from sensor to delivery, auditable end to end.
One neutral marketplace, two sides, with no conflict of interest between them.
Fleet operators, OEMs, and research labs. Contribute sensor data, we refine and verify it, and you earn from every license. Partner identity stays protected until NDA.
ML engineers, foundation-model labs, AV and robotics teams. License verified datasets, compose custom packages, and stream straight into training via API.
Five capability stages. Engage with all of them, or just the one you need.
Partners contribute raw sensor data under a signed agreement.
Deduplicate, balance, score diversity, and surface edge cases.
Calibration verification, 3D annotation, sensor fusion, PII removal.
Safety Pool scoring, scenario coverage, and audit-trail generation.
Native export and API stream with an immutable provenance chain.
Three lines to authenticated access. Stream certified frames straight into your training loop via REST or WebSocket. No download required.
# install
pip install deepen-refinery
# authenticate and stream certified data
from deepen import RefineryClient
client = RefineryClient(api_key="dr_live_ck_...")
for frame in client.stream("DRX-0481", format="lerobot"):
model.train_step(frame) # verified ✓License verified Physical AI data, or contribute yours and earn, on the one neutral marketplace both sides can trust.