Teaneck, NJ – Cognizant has unveiled a comprehensive new service offering, AI Training Data Services, designed to help enterprises speed up the development and deployment of advanced AI models. Building on years of collaboration with digital-native leaders in AI and machine learning, the offering brings Cognizant’s extensive data engineering and domain expertise to enterprises seeking to accelerate AI innovation.
The launch comes at a time when enterprises are increasingly challenged by the lack of clean, annotated, and context-rich datasets—an essential ingredient for building performant large language models (LLMs), computer vision systems, and multimodal AI applications. Cognizant’s new services aim to bridge this gap by delivering end-to-end capabilities for data annotation, model training support, and AI governance.
“At Cognizant, we are committed to helping our clients accelerate their AI innovations at scale. With the launch of AI Training Data Services, we are furthering this commitment and providing companies with the high-quality, multimodal data they need to develop sophisticated AI solutions,” said Ravi Kumar S., CEO of Cognizant. “By leveraging this specialized capability, developed jointly with digital innovators, we are taking a significant step forward in supporting AI transformation for our G2000 clients across multiple industries.”
Cognizant has long been a trusted partner for some of the world’s most advanced AI projects, contributing to model development across sectors like technology, healthcare, automotive, retail, and media. With over 10,000 trained professionals, the company has annotated and validated billions of data points across speech, video, LiDAR, and image modalities—many of which are enhanced with geo-tagged metadata to ensure contextual relevance.
The AI Training Data Services offering includes:
- Multimodal data annotation: Expert labeling of text, images, audio, and video content to support training for use cases such as conversational AI and content classification.
- Model adaptation datasets: Curated datasets for supervised fine-tuning of LLMs and foundation models, along with support for Reinforcement Learning from Human Feedback (RLHF) and red teaming exercises.
- Enterprise-level evaluation and deployment: Solutions for building and testing AI agents, evaluating LLM performance, and deploying models in Virtual Private Cloud (VPC) environments to meet enterprise-grade privacy and security requirements.
Industry analysts praised the launch as timely and strategic.
“Companies are eager to operationalize AI, but many are held back by data debt—a persistent burden of fragmented, poor-quality, or inaccessible data that limits the development of effective AI models,” said Saurabh Gupta, President, Research & Advisory Services at HFS Research. “Cognizant addresses this challenge by consolidating its full range of services—business services, IT expertise, engineering excellence, and ecosystem partnerships—into a lean, industry-specific solution. Combining deep domain knowledge with advanced data development and training capabilities, Cognizant’s AI training data services exemplify the services-as-software approach to help companies close the data readiness gap and remain competitive in an AI-driven world.”
“Companies today are seeking to deploy generative and agent-based AI at scale. These technologies promise to transform business models by enabling a much higher degree of end-to-end automation and, therefore, more efficient and effective operations,” said Anil Vijayan, Partner at Everest Group. “As these scale, the need for rich and diverse data increases, accelerating AI model creation, improving model accuracy, and supporting regulatory compliance. Cognizant’s AI Training Data Services, with their track record of success, are of great value in this space.”
With this launch, Cognizant positions itself as a key enabler for organizations looking to overcome data-related barriers and fully capitalize on the transformative potential of artificial intelligence.
