Annotation
Automatic Annotation

AI-powered automatic annotation at scale

Leverage cutting-edge AI models to automatically annotate your data with human-in-the-loop validation. 10x faster than manual annotation with enterprise-grade accuracy.

  • 10x faster
  • AI + Human QA
  • Cost effective
TRUSTED BY
Google AI
Tesla
Amazon
Microsoft
Meta
NVIDIA

Automation Capabilities

Complete automatic annotation platform

Combine AI automation with human expertise for high-quality training data at unprecedented speed

AI Pre-Annotation

State-of-the-art deep learning models automatically label your data with high accuracy before human review.

  • Foundation models
  • Custom AI models
  • Multi-modal support
Human Validation

Expert annotators review and refine AI predictions to ensure enterprise-grade quality standards.

  • Expert review
  • Consensus voting
  • Edge case handling
Active Learning

Continuously improve AI models using human feedback to reduce manual work with each iteration.

  • Model retraining
  • Smart sampling
  • Uncertainty detection
Model Training

Train custom AI models on your domain-specific data for maximum annotation accuracy.

  • Custom model fine-tuning
  • Transfer learning
  • Domain adaptation
Batch Processing

Process massive datasets efficiently with distributed AI inference and parallel annotation workflows.

  • Parallel processing
  • GPU acceleration
  • API integration
Quality Control

Multi-layer QA process ensures 99.5% accuracy with automated consistency checks and manual validation.

  • Automated QA checks
  • Inter-annotator agreement
  • Quality scoring

Our Process

How automatic annotation works

A streamlined AI-human hybrid workflow that delivers speed, accuracy, and scalability

STEP 1

Upload & Configure

Upload your dataset and configure AI models with custom annotation guidelines

STEP 2

AI Pre-Annotation

Advanced AI models automatically label your data with confidence scores

STEP 3

Human Review

Expert annotators validate AI predictions and correct edge cases

STEP 4

QA & Export

Multi-layer quality checks before delivering production-ready labeled data

Proven results at scale

Our automatic annotation platform accelerates AI development globally

10M+

Images auto-annotated

10x

Faster than manual

70%

Cost savings

99.5%

Accuracy rate

Use Cases

Automatic annotation for every scenario

Accelerate annotation workflows across diverse data types and industries

Large-Scale Datasets

Millions of images annotated in days

Video Annotation

Frame-by-frame automated tracking

Document Processing

OCR and entity extraction automation

Object Detection

Auto bounding box generation

Semantic Segmentation

Pixel-level auto-labeling

Medical Imaging

Radiology and pathology AI assistance

Manufacturing QA

Defect detection automation

Satellite Imagery

Geospatial feature extraction

Ready to accelerate your annotation?

Start leveraging AI-powered automatic annotation today. 10x faster, 70% cost savings, enterprise-grade accuracy.

Automatic Annotation FAQs

Common questions about our AI-powered annotation platform

Our automatic annotation combines state-of-the-art AI models with human validation. AI models pre-label your data with high confidence predictions, then expert annotators review and refine the results to ensure enterprise-grade quality. This hybrid approach delivers 10x speed improvements while maintaining 99.5% accuracy.

Our automatic annotation achieves 99.5% accuracy thanks to our human-in-the-loop validation process. While AI models provide fast pre-annotations, every prediction is reviewed by trained annotators to catch edge cases and ensure quality meets your requirements.

Automatic annotation is typically 10x faster than purely manual annotation. For example, a project that would take 100 hours manually can be completed in 10 hours with our AI-human hybrid approach. Speed improvements vary by task complexity and data type.

Yes, we offer custom model training using your domain-specific data. Our active learning pipeline continuously improves model accuracy based on human feedback, reducing manual work with each iteration. Custom models are especially valuable for specialized industries or unique annotation requirements.

We support automatic annotation for images, videos, text, audio, and 3D point clouds. Capabilities include object detection, semantic segmentation, classification, OCR, entity extraction, speech transcription, and more. Contact us to discuss your specific use case.