Describe it. We label it.
Supply your existing images, videos, documents, text, audio, point clouds, or sensor data. We annotate, validate, correct, structure, and deliver them according to your project-specific schema.
No source data yet? We can also assess a custom collection of real-world robotics and human demonstration videos. Explore robotics data collection.
2
Classes
193
Frames
96%
Confidence
Platform
From raw data to training-ready datasets.
One workflow for automated labeling, expert review, synthetic augmentation, and production export.
AI Annotation
Describe what you need: bounding boxes, masks, classifications, keypoints, scene descriptions, or custom labels. Our workflow produces a first annotation pass for review.
Synthetic Data
Generate domain-specific samples to strengthen rare classes, edge cases, and dataset diversity without repeating expensive collection cycles.
Pipeline Export
Export COCO, YOLO, Pascal VOC, CSV, JSON, JSONL, or a custom schema ready for your training and evaluation pipeline.
Pixel-Level Object & Hand Segmentation
Sub-pixel polygon contours and instance IDs distinguishing manipulators, dynamic tools, and objects in contact.
Spatial 3D Trajectories & Depth Streams
Depth-aligned point clouds, 3D bounding boxes, obstacle zones, and end-effector pose estimation in physical metric space.
Bounding Boxes
Fast object detection labels for people, vehicles, products, tools, parcels, and custom classes.
Semantic Segmentation
Pixel-level class maps for roads, environments, materials, medical structures, and scene understanding.
Instance Segmentation
Pixel-precise masks that separate every individual object, even when multiple objects share one class.
Panoptic Segmentation
Complete scene labeling that combines semantic regions with unique IDs for every object instance.
Object Tracking
Persistent object identities and trajectories across frames for behavior, traffic, retail, and robotics models.
Keypoints & Pose
Human, hand, face, animal, and object landmarks for pose estimation and interaction understanding.
Video Actions
Frame-accurate action boundaries, events, state changes, success, failure, and recovery sequences.
3D & LiDAR
3D cuboids, point-cloud segmentation, object tracking, sensor fusion, and spatial scene labels.
OCR & Documents
Text regions, tables, forms, fields, handwriting, receipts, and document-layout structures.
Defects & Anomalies
Precise labels for cracks, scratches, missing parts, manufacturing defects, and rare visual anomalies.
Robotics Vision
Grasp points, affordances, contact points, object states, hand-object interactions, and task trajectories.
Synthetic Vision Data
Domain-specific samples for rare classes, edge cases, environment variation, and sim-to-real training.
Text & LLM Data
Classification, entity extraction, instruction-response evaluation, preference ranking, safety review, and RLHF-ready labels.
Audio & Speech
Transcription, speaker diarization, acoustic events, intent, sentiment, timing, and multilingual quality review.
How it works
Four steps. One controlled workflow.
Automation accelerates the first pass; review and QA keep the final dataset reliable.
Upload
Images, videos, text, audio, or ZIP archives
AI Annotates
A prompt-driven first pass across your dataset
Review
Refine labels and validate quality in the loop
Export
Deliver directly to your ML pipeline
All modalities
Annotation beyond robotics.
Annotyx AI supports general-purpose ML data projects as well as our specialized Physical AI datasets.
Images
Detection, masks, keypoints, OCR
Video
Tracking, actions, scene narration
Text & RLHF
Classification, ranking, evaluation
Synthetic
Rare classes and edge cases
Built for teams that care about control.
- Human-in-the-loop review and QA
- Private processing and controlled access
- Team collaboration and approval stages
- API-ready delivery and common export formats
- Private-cloud or on-prem deployment options
- Custom ontologies and annotation guidelines
Pricing
Simple plans for every dataset stage.
Choose a starting point. Custom schemas, security requirements, and high-volume projects are scoped separately.
Starter
$49/mo
Solo researchers and independent developers
- 5,000 annotations / month
- 10 GB storage
- All core annotation types
- COCO, YOLO, and CSV export
- Email support
Team
$149/mo
ML teams shipping production models
- 50,000 annotations / month
- 100 GB storage
- Synthetic data generation
- Team collaboration — 5 seats
- Priority support
Enterprise
Custom
Organizations with custom data requirements
- Custom volume and schemas
- Private or on-prem deployment
- SSO and audit-log options
- API and custom integrations
- Dedicated account support
Ready to build ML-ready data?
Tell us what your model needs. We will scope the annotation type, quality workflow, export format, and delivery plan.
Start a project