ANNOTATION SERVICES
HIGH-QUALITY LABELS FOR PHYSICAL AI.
Expert annotation for egocentric video, sensor data, and robotic training datasets at the scale and accuracy frontier AI teams actually need.
99%
Annotation accuracy
10x
Faster than in-house
50PB+
Storage capacity
24/7
Active support
DATA TYPES
EVERY DATA TYPE ROBOTS NEED TO LEARN FROM.
Egocentric Video Annotation
Frame-by-frame labeling of first-person video, the exact perspective robots need. We annotate actions, objects, and scene context across long-horizon sequences.
Hand-Object Interaction Labels
Precise keypoint tracking of hand pose, grasp type, contact points, and object state changes. Critical for training manipulation and dexterous robotic systems.
Depth & Spatial Annotation
3D bounding boxes, point cloud labeling, and depth map annotation. We work with LiDAR, stereo, and RGB-D sensor outputs for full spatial understanding.
Action & Activity Recognition
Temporal segmentation of activities into atomic actions and long-horizon task sequences. Hierarchical labels from sub-second gestures to multi-minute workflows.
Multimodal Sensor Fusion Labels
Synchronized annotation across video, audio, IMU, and environmental sensors. Every modality labeled and aligned to a unified timeline.
Scene & Object Segmentation
Pixel-level semantic and instance segmentation for objects, surfaces, and regions. Supports polygon, brush, and SAM-assisted workflows at scale.
THE PIPELINE
FROM RAW DATA TO TRAINING-READY LABELS.
First batch turnaround: ~72 hours
Ingest
Upload via AWS, GCP, Azure, or direct transfer
Curate
Automated quality screening and data validation
Label
AI-assisted pre-labeling with expert human review
QA
Multi-stage sign-off pipeline with peer review
Export
JSON, COCO, CSV, Pascal VOC, or custom formats
Deliver
AES-256 encrypted, access-controlled delivery
WHY US
BUILT FOR FRONTIER ROBOTICS.
Robotics-Specific Expertise
Our annotators are trained on egocentric and embodied AI datasets. We understand the difference between a grasp and a contact, a reach and a transport.
AI-Assisted Labeling
Model-assisted pre-labeling accelerates throughput without sacrificing accuracy. Human reviewers catch what the model misses.
Multi-Stage QA
Every annotation passes through automated checks, peer review, and senior sign-off. We don't ship data we wouldn't train on ourselves.
Flexible Volume
From thousands of frames to petabyte-scale. No minimum commitment, no lock-in. We scale with your project.
Fast Turnaround
Most projects see first batches back within 72 hours. Dedicated teams mean your project doesn't wait in a queue.
Secure & Confidential
AES-256 encryption at rest and in transit. NDAs as standard. Your data never leaves our secure pipeline without your sign-off.
START NOW
READY TO ANNOTATE AT SCALE?
Tell us about your dataset and what you need labeled. We will get back to you within 24 hours.