Evaluating AI Across Agriculture and Law Using Community and Expert Input
Karya is evaluating conversational AI systems in real-world Indian contexts, in partnership with Anthropic.
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
Building a tribal language voice assistant co-built with communities
Until recently, Bhili, a tribal language spoken by millions of people across western and central India, had limited representation in the country's digital infrastructure. Karya, working with the Bhil community, has helped build a Bhili language system that now lives on two national-scale platforms.