Business Description

Overview . At Teradata Corporation ("we," "us," "Teradata," or the "Company"), we are focused on helping organizations activate the intelligence in their enterprise and turn the insights from across their organization into outcomes. In the agentic future, AI agents have enterprise context, can act on it in milliseconds and address continuous decisions at enterprise scale. This new landscape demands a new system of intelligence, and we believe Teradata is uniquely suited to provide this with our autonomous AI and knowledge platform as well as our data and analytics capabilities. We believe that we have architected our platform for autonomous AI operations and organizations’ toughest data and analytics challenges, particularly as enterprises are evaluating how to cost effectively deploy agentic AI. We also saw a resurgence of hybrid environments that reflected a growing understanding of how enterprises can best leverage both on-premises and cloud deployment options to meet their diverse business needs. Our platform is designed for data and analytics that can give customers the opportunity to run agentic AI at scale wherever that data resides in their business – whether public cloud, on-premises, private cloud, or a combination. With our AI and knowledge platform, underpinned by our extensive patented workload management optimization technology, we believe we are well positioned to help enterprises become autonomous enterprises, with a governance layer that is intended to provide the ability for customers to focus on managing, securing, and providing trustworthy data for AI and analytics across hybrid and multi-cloud environments. Our AI and Knowledge Platform We believe our technology strengths are the foundation for agentic AI at scale . Our platform is designed for enterprise-grade workloads. It is built on a massively parallel architecture, with patented workload management, query optimization, and predictable costs that are designed to deliver the most complex workloads. The industry data models available on our platform are built on decades of experience working with global organizations that are large-scale users of data, and can enable our customers to bring deep context to the language models they choose to use. Our platform includes a semantic layer intended to bridge AI and data, giving AI agents the context they need to reason and act. We believe that our platform provides the best price performance, whether deployed on-premises or in the cloud, or a hybrid combination. Our MCP Server, AI Agents, and always-on compute are designed to deliver the reliability and agility needed for autonomous reasoning, planning, and action. Our Autonomous Customer Intelligence empowers organizations to turn raw data and customer signals into context-aware, real-time engagement. We believe that our deployment and compute flexibility set Teradata apart. Our differentiated approach spans deployments in the top public cloud service provider platforms of AWS, Microsoft Azure, and Google Cloud, as well as private cloud platform instances, on-premises, and hybrid environments. We also provide Teradata AI Factory, designed to bring AI and machine learning capabilities to on-premises environments for organizations in regulated industries, with data sovereignty requirements, or that want to manage and contain their AI infrastructure costs. It integrates with Nvidia NIM Services and GPUs, and Teradata AI Workbench and ClearScape Analytics™ , which support BYOM/BYO-LLM (bring your own model / large-language model), in-engine analytics, and model endpoints. We also offer always-on and elastic compute flexibility, designed to ensure governance, security, and performance at scale. Open, connected, and future-ready. Teradata’s partner ecosystem collaborates across cloud, AI, infrastructure, and application partners, providing choice and interoperability for organizations to innovate and deliver outcomes. Our patented QueryGrid data analytics fabric provides seamless, high-performing data access, processing, and movement across multiple data sources, as well as data and workload migration tools and services. Teradata ClearScape Analytics is designed to integrate seamlessly with third-party LLMs and AI agents, leveraging Teradata’s Enterprise Vector Store and Enterprise Feature Store, to orchestrate multi-agent systems.…