Evaluating Multilingual LLMs at Scale
For Microsoft Research, Karya completed one of the largest multilingual human evaluations of LLMs within three weeks.
Data Services
Enhance your data with precision through Karya's data annotation services. Our expert teams meticulously label data to ensure high-quality, reliable datasets that drive your AI and machine learning initiatives.
Types
Audio
Text
Image
Video
Features
Accuracy
Karya's platform is designed to offer accurate and detailed labelling for various data types, including speech, text, image, and video.
Multilingual Annotation
We provide multilingual annotation, supporting diverse data needs with proficiency in both English and Indic languages.
Quality Control
Rigorous quality control processes are implemented to guarantee annotation accuracy and consistency, ensuring the reliability of your labelled datasets.
Quality Assurance
Quality-Driven Approach
Karya guarantees > 95% SLA on all datasets that we create assuring error-free data.
Validation Framework
We identify and rectify data errors, inconsistencies, and duplications, ensuring clean, error-free datasets by using both human and AI based tools.
Case Studies
Conversational Data and Call Center Data Collection(2400 hours)
Collecting and validating conversational speech data across multiple domains in 11 languages for Microsoft