DEEPEN CALIBRATE
One-shot, system-level
calibration.
Self-calibrating camera, LiDAR, radar, and IMU, locked to sub-pixel accuracy with no checkerboard targets.
Explore Deepen Calibrate →The benchmark forPhysical AI
From automotive and robotics to embodied AI, energy, and industrial systems, Deepen is the calibrated, verified, neutral data stack behind Physical AI.
Built for every Physical AI system.
The same verified stack, tuned to the sensors and standards your domain runs on.
Autonomous vehicles
& ADAS
Fused LiDAR, camera, and radar data for L2 to L4 programs, validated to the standards your regulators actually read.
Explore Automotive→
Robotics & embodied
AI
Calibrated multi-sensor data, 3D labeling, and validation for manipulation, navigation, warehouse autonomy, and humanoids.
Explore Robotics→
Energy & industrial
infrastructure
Point-cloud labeling, segmentation, and verification for inspection, digital twins, and large-scale industrial mapping and monitoring.
Explore Energy→Trusted by teams
building Physical AI
building Physical AI
A model inherits every flaw in its data.
Uncalibrated sensors, mislabeled edge cases, and unverified data are why models that ace the benchmark still fail in the real world. Deepen is the calibrated, verified stack that fixes it before training ever starts.
auto-cycling01/07
Camera and LiDAR disagree on where the object is, so every box trains on the wrong geometry.
Verified data, at production scale.
Third-party audited and backed by a production SLA
98.6%
annotation accuracy audited monthly
200+
sensor configurations calibrated
<0.8%
label defect rate at delivery
500K+
verified scenes in the catalog
ISO 27001SOC 2 Type IIGDPRASPICE-readyUNECE R155
Inside the stack.
Each product plugs into the same certified data spine so perception, calibration and inspection teams speak the same language of provenance and drift.
One-shot, system-level
DEEPEN CURATE
The dataset worth
labeling.
Deduplication, scenario selection, and long-tail mining surface the data worth labeling.
Explore Deepen Curate →DEEPEN ANNOTATE
Labeled at production
scale.
Multi-sensor 3D and 2D labeling, QA workflows, and human-verified annotation for Physical AI teams.
Explore Deepen Annotate →Services
The same stack, in the tools your team works in every day.
CALIBRATE AS A SERVICE
We calibrate your fleet
Our team brings every camera, LiDAR, radar, and IMU into sub-pixel alignment, with no checkerboard targets and no in-house calibration lab to staff.
Explore
COLLECT AS A SERVICE
We collect the data your model needs
Custom data collection across any modality, format, and environment, scoped to the exact data your model needs.
Explore
ANNOTATE AS A SERVICE
Managed labeling, SLA-backed.
Multi-sensor 3D and 2D labeling, ASAM-standard and human-verified, delivered against agreed accuracy and turnaround SLAs at production scale.
ExploreDeepen Refinery
The neutral data
marketplace for Physical AI.
Every verified dataset becomes a catalogued, traceable asset. Source, sell and verify data across domains, on the same stack your pipeline already runs on.
HOW IT WORKSBeta launching soon
- 01Discover
Browse catalogued datasets by ODD, sensor stack, and region. Every listing carries a signed provenance certificate.
- 02License
Transparent per-frame or per-episode pricing. Cryptographic royalty tracking splits revenue back to the original data partner.
- 03Deploy
Stream directly into your training env with lineage preserved, via S3, GCS, or SDK into PyTorch / JAX.
See verified data being made.
The real tools your team works in, from raw sensor data to verified output, in production every day.
Multi-object detection and tracking
Pixel-accurate scene parsing
Multi-class point cloud segmentation
Advanced 2D & 3D bounding boxes
Physical AI runs on trust.
We make it verifiable.
Verified data is a chain. Deepen produces data you can trace from sensor to label, score, and audit against the standards your customers and regulators now demand.
Certifications & standards
Independently auditable.
- ASAM OpenLABEL author
- SOC 2 Type II
- ISO 27001:2013
- TISAX
- EU AI Act-ready
- Euro NCAP 2026
- Safety Pool™
CALIBRATED
Anchored to the sensor
Patented self-calibration locks every sensor to sub-pixel accuracy. No checkerboards, no in-house lab.
LABELED
Verified by people
ASAM-standard annotation, AI-assisted and human-verified at 98.6% first pass across every delivered scene.
VALIDATED
Scored against scenarios
Safety Pool™ coverage and inter-annotator scoring on every set, benchmarked against your production ODDs.
PROVENANCED
Signed, end to end
An immutable chain from raw signal to delivery. When a regulator asks how you know, you have the receipt.
As perception systems become more complex, data integrity becomes critical. This collaboration helped ensure that calibration, localization, synchronization and sensor alignment challenges were addressed early, creating a stronger foundation for AI development.
Dr. Marcos Nieto Doncel
Director, Connected & Cooperative Automated Systems Department
Vicomtech
Bring us your hardest data.
Send us a raw sensor sequence. We'll calibrate it, label it, and show you what verified data looks like on your data, not a demo set.