Athena
The Enterprise NLP Labeling PlatformThe most widely utilized and trusted NLP labeling technology across the Globe by leading AI companies. Advanced language labeling with over 235 languages supported with direct access to native speakers in over 170 countries for enhanced sentiment and translation AI training data.
Unmatched NLP Labeling Capabilities Powering AI Initiatives Around the Globe
+6.8M Data Specialists
Access to the world’s largest pool of human talent to accelerate NLP training data
+235 Languages
With native speakers possessing linguistic capabilities ranging from basic to PhD level.
+170 Countries & Regions
Unparalleled access to geospecific linguistic and sentiment for AI training data needs.
Core NLP Labeling Capabilities
✅ Token Labeling
✅ Span Labeling
✅ Named Entity Recognition (NER)
✅ Part-of-Speech (POS) Tagging
✅ Dependency Parsing
✅ Semantic Role Labeling (SRL)
✅ Coreference Resolution
✅ Morphological Analysis
✅ Syntactic Chunking
✅ Sentiment Annotation
✅ Text Classification
✅ Relation Extraction
✅ Intent Classification
✅ Lemmatization
✅ Paraphrase Identification
✅ Machine Translation Post-Editing (MTPE)
✅ Entity Linking
✅ Dialogue Act Annotation
✅ Emotion Annotation
✅ Word Sense Disambiguation (WSD)
Drag-and-Drop NLP Designer
Rapidly create advanced NLP data labeling interfaces with our simple drag-and-drop interface enabling advanced NLP labeling applications for text, audio, and documents. Tag and classify data across over 235 languages with access to human experts in over 170 countries.
Audio Segmentation
Our advanced audio tagging data labeling functionality offers cross-channel and multi-language support, featuring unique IDs for individual speakers. This ensures precise and comprehensive audio analysis across diverse linguistic landscapes.
Multi-Model SME Comparisons
With our plug-and-play model architecture you can rapidly assess ASR models for transcription accuracy and compare results leveraging human expertise that can be used to retrain and optimize models for your particular mission needs
Sentiment Labeling
Accelerate your sentiment model with better training data with drag-and-drop sentiment questions to gain deeper understanding based in particular mission needs. Access to individuals in over 170 countries enabling sentiment for better geopolitical understanding.
Tagging Technical Drawings
With auto predictions and multi-language support we enable advanced OCR training data for complex mission specific needs across over 235 languages.
Label Text Tokens & Spans
Label pieces of text (called “tokens”) with the correct class label with full control to develop advanced classifications for unique mission use cases across over 235 languages.
NLP Label Workflow Automation
Streamline complex data workflows with up to a 20x efficiency gain. Seamless human-machine teaming through multi-model plug-and-play integration. Drag-and-drop & API workflow builder with support for connecting data labeling tasks, models, & scripts.
Plug & Play Third-Party Models
Connect to any third-party model to drive data labeling automation with built in quality control mechanisms to avoid impacts to quality. Gain rapid insights into your data labeling campaigns through automation while leveraging human insights to drive model innovation.
Monitor Performance Real-Time
Monitor any labeling team in real-time to understand how to shift resources and assign based on auto-detection of individual skillsets across your labeling force.
Real-Time Quality Transparency
Zero trust quality control. Real-time monitoring of over 200 human factors for labeling teams enabling dynamic adjustments to quality control mechanisms based on unique data types or mission needs. Built in red team integration enabling justified confidence in resulting datasets.
