Radha Basu

iMerit is an India-based data AI company founded in 2012 that specializes in providing high-quality training data for artificial intelligence and machine learning applications. The company operates in the data labeling and annotation space, a critical component of AI development pipelines. iMerit's core services include image annotation, video labeling, natural language processing data preparation, and autonomous vehicle training data collection. The company employs a distributed workforce model across India to deliver scalable data annotation solutions to enterprise clients developing AI systems. iMerit has positioned itself within the competitive data labeling market alongside competitors like Scale AI, Labelbox, and Superb AI. The company has secured $24M in total funding and operates at Series B stage, though its current valuation remains undisclosed. Its growth trajectory reflects increasing enterprise demand for quality-assured training datasets as AI adoption accelerates across industries. iMerit serves customers across computer vision, autonomous driving, natural language processing, and other AI domains requiring large-scale labeled datasets. The company's distributed India-based workforce provides cost-effective data annotation while maintaining quality standards through proprietary processes and quality control mechanisms. This operational model has enabled iMerit to scale efficiently while competing globally in the data preparation infrastructure space. iMerit employs India's distributed talent pool with proprietary quality assurance processes to deliver cost-effective training data at scale for enterprise AI applications.