Zensar Technologies, a leading experience, engineering, and engagement technology solutions company, announced the launch of its Data Annotation Services. This innovative offering is designed to empower global enterprises in accelerating AI and large language model (LLM) deployments by providing high-quality, domain-specific annotation, data enrichment, and AI-powered content generation at scale. With a focus on accuracy, speed, and regulatory compliance, the services address critical gaps in preparing AI-ready data, enabling organizations to unlock the full potential of their AI/ML initiatives.
As enterprises worldwide intensify their AI adoption amid a rapidly evolving digital landscape, Zensar's solution stands out by combining deep domain expertise across industries like banking, financial services and insurance (BFSI), healthcare, automotive, and retail with advanced generative AI tooling and global delivery capabilities. This launch reinforces Zensar's unique selling proposition (USP) as a trusted partner for AI transformation, helping clients reduce time-to-market, minimize operational rework, and build more reliable, compliant AI models.
Harish Lala, Executive Vice President and Head of Technology, Media, Telecom and Public Sector, Zensar, said, “AI is reshaping industries, and Zensar's domain-specific annotation capabilities provide the precision and speed needed for seamless deployments. This launch not only strengthens our leadership in GenAI services but also delivers tangible value to clients by bridging the data quality gap that hinders innovation.”
Key Highlights of Zensar’s Data Annotation Services:
Annotation Ops as a Service: Comprehensive support for text, image, audio, video, and tabular data annotation, ensuring precise labeling for diverse AI use cases.
Data Enrichment: Adds structure, context, and metadata to datasets, enhancing their usability for advanced ML models.
AI-Powered Content Generation: Automates creation of summaries, FAQs, and product content, streamlining content workflows while maintaining quality and relevance.
These services are particularly valuable for clients facing the challenges of scaling AI projects, where poor data quality can lead to model inaccuracies and compliance risks. By leveraging Zensar's scalable, flexible framework, enterprises can achieve faster AI/ML development cycles, lower costs, and tailored solutions that align with industry-specific regulations.
Narayana Prasad Shankar, Chief Technology Officer and Head of AI and Analytics, Zensar, added, “Our newly launched AI-driven annotation service delivers precise, scalable, and domain-tailored data labelling capabilities for enterprises. This service is designed to accelerate AI model development, enhance data quality, and enable clients to derive greater value and insight from their datasets to stay ahead in the rapidly evolving digital landscape.”
Demand for robust data annotation is surging due to the proliferation of generative AI applications. Zensar's services differentiate through their emphasis on end-to-end compliance and integration with existing AI ecosystems, positioning the company to capture a larger share of the growing AI transformation market.
Pune, December 8, 2025