Elevate Your Data Labeling with LLM-Enhanced Human Intelligence
Harness the power of LLMs and expert human annotators for unparalleled accuracy and speed across all data types.
Precise Data Labeling Solutions for Any Project
Advanced Text Annotation
From classification and summarization to Q&A generation, paraphrasing, and Named Entity Recognition (NER), our AI-assisted human annotators deliver superior text annotations.
- Machine Translation
- Document Extraction
- Web Extraction
Precise Computer Vision Annotations
Empower your CV projects with our LLM-enhanced tools and expert annotators. We offer solutions for object detection, image segmentation, and classification with unmatched accuracy.
Intelligent Audio Processing
Transform your audio data with our cutting-edge tools and skilled human annotators. We excel in speech-to-text transcription, audio classification, and sentiment analysis.
Comprehensive Video Annotation
Unlock insights from your video content with our advanced tools and expert annotators. From object tracking to activity recognition, we've got you covered.
Our LLM-Powered Annotation Tools
Supports all image formats to all use cases.
Supports all video types and file formats to all use cases.
Various tools from text extraction to classification to LLM Evaluation.
Supports all audio types and file formats to all use cases.
Supports various formats such as PCD, LAS, PNG, JPEG
Tailored solutions for unique annotation requirements.
Unleashing the Power of AI-Enhanced Human Intelligence
Our unique approach combines the cognitive abilities of Large Language Models with the nuanced understanding of human experts. This synergy results in:
- Superior Accuracy: AI pre-processing coupled with human verification ensures the highest quality annotations.
- Unmatched Speed: LLMs accelerate the annotation process, while humans provide the final touch.
- Unprecedented Scalability: Handle large-scale projects with ease, maintaining consistent quality.
- Adaptability: Our hybrid approach excels across various data types and use cases.
Example:
In a recent video annotation project, our AI-human collaboration reduced annotation time by 60% while increasing accuracy by 25% compared to traditional methods.
Video Annotation Project Comparison
Traditional Method
AI X Human Collaboration