DATA LABELLING & ANNOTATION

Expert Annotation Services At Scale

Human-validated, locally nuanced annotation for images, text, audio, and video. We deliver the context-aware labels your AI needs to perform accurately in the real world — with African cultural intelligence built in.

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95%+

Annotation Accuracy

500K+

Assets Annotated

10+

Industry Verticals

72hr

Pilot Batch Delivery

Annotation Modalities

Every modality your model needs.

We annotate across every modality your model needs — from bounding boxes on satellite imagery to intent labels on multilingual customer queries.

Image Annotation

Precise labeling for computer vision models across diverse image types and environments.

Bounding Boxes Semantic Segmentation Keypoint Detection Polygon Annotation Image Classification

Video Annotation

Frame-level and temporal annotation for action recognition, tracking, and activity detection.

Object Tracking Action Recognition Event Detection 3D Cuboid Annotation Pose Estimation

Text Annotation

NLP-ready labels capturing meaning, intent, and context for African and global languages.

Named Entity Recognition Sentiment Analysis Intent Classification Coreference Resolution Text Summarization QA

Audio Annotation

Accurate transcription and labeling for speech models with strong African language support.

Speech Transcription Speaker Diarization Emotion Detection Language Identification Audio Classification

3D & LiDAR Annotation

Specialized point cloud and sensor fusion annotation for autonomous vehicles and spatial AI.

Point Cloud Labeling 3D Bounding Boxes Sensor Fusion Lane Detection

Document & OCR Annotation

Structured annotation for document understanding models — forms, receipts, medical records, and IDs.

Table Extraction Key-Value Pairs Form Recognition Handwriting Recognition

Our Quality Process

Four stages, zero compromises on accuracy.

Every dataset we deliver goes through the same rigorous process — from co-created guidelines to multi-layer validation — so what powers your AI is accurate, representative, and reliable.

Step 01

Annotation Guidelines

We co-create detailed annotation guidelines with your team, covering edge cases, label definitions, and task-specific cultural context. No ambiguity before work begins.

Step 02

Pilot & Calibration

A pilot batch is annotated and reviewed against your gold standard. Annotator performance is calibrated and any systematic errors corrected before full-scale production begins.

Step 03

Multi-Layer Review

Every annotation passes through at least two layers: primary annotator and a senior QA reviewer. Disputed or ambiguous labels are escalated to a domain expert for resolution.

Step 04

Delivery & Feedback Loop

Annotated datasets are delivered in your preferred format (JSON, CSV, COCO, YOLO). We monitor model performance on delivery and offer annotation improvements if errors emerge.

Industry Verticals We Serve

✓ Healthcare & Medical Imaging
✓ Autonomous Vehicles
✓ Agriculture & Precision Farming
✓ Financial Services & Fraud
✓ Retail & E-Commerce
✓ Logistics & Supply Chain
✓ NLP & Conversational AI
✓ Security & Surveillance

Output Formats Supported

COCO JSON YOLO CSV XML / Pascal VOC Custom

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