Cognizant Unveils AI Training Data Services for Enterprise AI Scale
Cognizant (NASDAQ: CTSH) has announced the launch of its new AI Training Data Services, designed to empower enterprises in building, fine-tuning, and deploying artificial intelligence models with greater speed and scalability. This offering extends Cognizant’s deep expertise, previously honed as a trusted partner for leading digital companies, to a broader range of global enterprises, including Fortune 2000 clients.
The initiative addresses a critical market need for high-quality, relevant training data, which is essential as organizations increasingly develop AI-powered applications and integrate advanced AI, such as generative AI and AI agents, into their operations. The scarcity of large-scale, accurately annotated datasets often creates a significant bottleneck for training machine learning models, particularly large language models (LLMs) and computer vision systems. The demand for multi-modal data—encompassing text, images, audio, and video—is particularly high, as it enables AI models to interpret complex scenarios by drawing context from diverse data forms.
Cognizant’s AI Training Data Services are strategically designed to facilitate the rapid development, validation, and deployment of AI models at scale, while aligning with internal corporate governance and oversight. The service integrates data engineering and AI training expertise with extensive functional and industry-specific knowledge. This fusion transforms raw multi-modal data into high-quality inputs crucial for machine learning and generative AI models. Key services include comprehensive data annotation, model customization and enhancement, and robust data governance, all aimed at accelerating market entry, improving model accuracy and performance, and reducing operational costs.
For years, Cognizant has been instrumental in helping pioneering digital companies train some of the world’s most sophisticated AI models. The company has collaborated with leaders across technology, healthcare, automotive, media, and retail sectors. With a team of over 10,000 specialists, Cognizant has processed billions of data points and millions of data labels across various modalities, including speech, 2D/3D imagery, video, and LiDAR (Light Detection and Ranging), often enriched with geospatial metadata for enhanced precision. This extensive domain knowledge has enabled Cognizant to produce highly specialized datasets for diverse industries, including healthcare, automotive, media, and digital marketing.
Ravi Kumar S., CEO of Cognizant, emphasized the company’s commitment: “At Cognizant, we’re dedicated to helping our clients accelerate their AI innovation at scale. By launching AI Training Data Services, we are advancing this commitment and providing enterprises with the high-quality, multi-modal data they need to build sophisticated AI solutions. Leveraging this specialized capability, which we’ve deeply honed with digital innovators, marks a significant step forward in supporting AI transformation for our G2000 clients across industries.”
The new AI Training Data Services offer several core capabilities:
Comprehensive Data Annotation and Curation: This includes expert multi-modal data labeling for diverse data types like text, images, audio, and video, ensuring high accuracy for AI training across applications, from content understanding to conversational AI.
AI Model Customization and Enhancement Data: Services provide meticulously curated datasets for fine-tuning LLMs and other foundational models (Supervised Fine-tuning Data). It also includes high-quality human feedback data for Reinforcement Learning from Human Feedback (RLHF), which helps align AI model behavior with human preferences and values under client oversight. Additionally, curated datasets for Red Teaming exercises are offered to identify potential vulnerabilities and failure points in AI systems.
Enterprise-Grade AI Evaluation and Governance: This encompasses specialized data services for building, refining, and evaluating AI agentic solutions (AI systems designed to perform tasks autonomously) according to client-defined parameters. It also provides robust data for evaluating LLM performance across various metrics and supports the secure deployment of AI models within the client’s private cloud environment, ensuring enterprise-grade data security, privacy, and control.
Industry analysts have welcomed Cognizant’s new offering. Saurabh Gupta, President, Research & Advisory Services at HFS Research, noted, “Enterprises are eager to operationalize AI, but many are held back by data debt—a persistent burden caused by fragmented, poor-quality, or inaccessible data that limits the development of effective AI models.” He added that Cognizant is addressing this challenge by unifying its full spectrum of capabilities—business services, IT expertise, engineering excellence, and ecosystem partnerships—into a streamlined, industry-contextual solution. Gupta highlighted that the new services exemplify a ‘Services-as-Software’ approach, blending deep domain knowledge with advanced data engineering and training to help enterprises close the data readiness gap and remain competitive.
Anil Vijayan, Partner at Everest Group, also commented on the significance of the services: “Businesses today are seeking to deploy generative and agentic AI at scale. These technologies hold promise to transform business models by enabling much higher levels of end-to-end automation and thereby more efficient and effective operations.” He concluded that as these technologies scale, the need for comprehensive and diverse data to accelerate AI model creation, enhance precision, and support regulatory adherence becomes even more pronounced, positioning Cognizant’s new services as a valuable contribution to the market.