AI Data Annotation Platform

Precision Labels.
Faster AI.

Enterprise-grade annotation with multi-layer QA, real-time dashboards, and a team built for accuracy at scale.

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0 % Accuracy
0 K+ Tasks Done
24/7 Available
0 Active Clients
0 QA Layers
Image Annotation 3D Point Cloud Video Labeling Text Classification Semantic Segmentation Object Detection Audio Transcription Multi-Layer QA Image Annotation 3D Point Cloud Video Labeling Text Classification Semantic Segmentation Object Detection Audio Transcription Multi-Layer QA

Why NexLabel

Built for teams that
can't afford mistakes.

🧠
01
Multi-Layer Quality Assurance
Every annotation passes through Annotator β†’ Reviewer β†’ Approver before delivery. Rejections trigger automatic email notifications so nothing slips through.
02
⚑
Real-Time Dashboard
Clients track progress live. Download completed datasets instantly from their dedicated portal.
03
πŸ”
Role-Based Access
Owner, Sub-Owner, Approver, Reviewer and Annotator β€” each with precise permissions to protect your data.
04
🌏
Remote-First Team
Fully distributed workforce with centralized oversight and real-time task management.
πŸ“Š
05
Enterprise-Grade Reporting
Track annotator accuracy, task throughput, and QA pass rates across all projects. Full visibility for PMs and clients at all times.

How It Works

From upload to
delivery in 5 steps.

01
πŸ“€
Client Uploads
Dataset submitted via client portal
02
✏️
Annotation
Team labels every item precisely
03
πŸ”
QA Review
Reviewer checks and passes or rejects
04
βœ…
Approval
Approver gives final sign-off
05
πŸ“₯
Delivery
Client downloads verified dataset

Capabilities

Every format.
Every use case.

πŸ–ΌοΈ Image Annotation
πŸ“¦ 3D Point Cloud / LiDAR
πŸŽ₯ Video Labeling
πŸ“ Text Classification
🎡 Audio Transcription
πŸ”² Bounding Boxes
πŸ—ΊοΈ Semantic Segmentation
🏷️ Named Entity Recognition
😊 Sentiment Analysis
🎯 Object Detection
πŸ”‘ Keypoint Detection
πŸ“‹ Document OCR

Ready to label
at scale?

Join companies already using NexLabel to power their AI with clean, verified training data.