End-to-End Data Annotation
& Management Services
From raw annotation to governed, warehouse-ready datasets — every service your AI pipeline needs, under one roof.
Start with your ontology.
The single biggest cause of wasted annotation spend is a poorly defined schema. Our Ontology-as-a-Service workshops ($5K–$15K) compress weeks of internal debate into 2–3 structured sessions — so every label your annotators produce is grounded in a schema your models can actually learn from.
CoreData Engines
Precision-engineered data solutions built to power the next generation of AI models.
Text Annotaton
Named entity recognition, sentiment tagging, intent classification, and document annotation for NLP and LLM training pipelines.
ExploreVideo Annotation
Frame-by-frame object tracking, action recognition, scene segmentation, and temporal annotation for video AI systems.
ExploreImage Annotation
Bounding boxes, polygon segmentation, keypoint annotation, and classification for computer vision and autonomous systems.
ExploreTime Series Annotation
Event detection, anomaly marking, and pattern annotation across sensor, financial, and IoT time series datasets.
ExploreSpecialized Data
Medical imaging, legal document tagging, geospatial annotation, and domain-specific labeling requiring expert annotators.
ExploreData Governance
End-to-end data quality management, compliance frameworks (GDPR, HIPAA, CCPA), and stewardship programmes.
ExploreOntology-as-a-Service
Before annotation begins, the most important work happens: defining what to label, how to label it, and what the edge cases are. Our paid schema design workshops co-design your annotation taxonomy with your ML team.
Explore
Structured Annotation for Language Models
Power your NLP pipelines with precisely annotated text datasets built to your exact schema.
Our annotators are trained on the nuances of natural language. We support named entity recognition (NER), sentiment analysis, intent and entity classification, coreference resolution, and full document-level summarization tasks. Every batch passes through a multi-layer QA process before delivery.
- Named Entity Recognition (NER)
- Sentiment & Emotion Tagging
- Intent & Slot Classification
- Question & Answer Pair Generation
- RLHF Preference Ranking
Frame-Perfect Annotation for Video AI
Temporal precision that enables reliable object tracking, action recognition, and scene understanding.
We handle high-volume video datasets with consistent frame-level accuracy. Our teams work across dashcam footage, surveillance video, sports analysis, and robotic vision. All deliverables include bounding box tracks, polygon masks, and per-frame attribute tags.
- Object Tracking & Bounding Boxes
- Action & Activity Recognition
- Scene Segmentation
- Event Detection & Temporal Tagging
- 3D Point Cloud Annotation
Pixel-Level Precision for Computer Vision
From bounding boxes to instance segmentation — annotation quality your models can rely on.
Corelabel.ai delivers image annotation at scale for autonomous vehicles, medical imaging, retail, and satellite imagery use cases. We combine skilled human annotators with automated pre-labeling tools and rigorous inter-annotator agreement checks.
- Bounding Box & Polygon Annotation
- Semantic & Instance Segmentation
- Keypoint & Skeleton Annotation
- Image Classification & Tagging
- Medical & Satellite Image Labeling
Pattern & Anomaly Annotation Across Time
Turn raw sensor streams and financial signals into clean, event-tagged training data.
Our domain specialists annotate irregular events, anomalies, cycles, and transitions in time series data from IoT devices, wearables, industrial sensors, and financial markets. We support multi-channel and high-frequency datasets with sub-millisecond precision requirements.
- Anomaly & Outlier Detection Tagging
- Event Onset & Offset Marking
- Trend & Cycle Classification
- Multi-Channel Signal Annotation
- IoT & Wearable Data Labeling
Domain-Expert Annotation for Critical AI
When accuracy is non-negotiable, our specialist annotators deliver.
For verticals where general-purpose annotation falls short, we deploy subject-matter experts. From radiologists annotating DICOM scans to legal professionals tagging contracts and geospatial analysts marking land-use boundaries — our specialists work to the exact standards your domain demands.
- Medical Imaging (DICOM, Radiology)
- Legal & Compliance Document Tagging
- Geospatial & Satellite Annotation
- Audio Transcription & Speaker Diarisation
- 3D LiDAR & Point Cloud Labeling
Ontology-as-a-Service
Before annotation begins, the most important work happens: defining what to label, how to label it, and what the edge cases are.
Our paid schema design workshops co-design your annotation taxonomy with your ML team — the labels, decision rules, and edge cases that determine whether your model learns the right thing.
Each workshop delivers a versioned, reusable ontology that becomes the foundation of every batch we annotate for you. The result is faster annotation, lower disagreement rates, and a schema your team owns permanently.
Book an Ontology WorkshopHow We Work
A transparent, repeatable process from project kickoff to clean data delivery.
Submit Your Data
Share your raw dataset and annotation requirements. We review scope, agree on guidelines, and set quality benchmarks together.
Expert Labeling & QA
Trained annotators work to your schema. Every batch passes multi-layer quality assurance — human-in-loop process plus automated spot checks.
Receive Clean Output
Structured, model-ready datasets delivered in your preferred format — JSON, CSV, COCO, Pascal VOC, or custom schemas.
Ready to scale your AI pipeline?
Tell us about your data labeling challenge — we'll design a solution around your timeline and quality bar.