Teradata Stock Price, News & Analysis

Teradata Corporation (NYSE: TDC) is described in its public communications as an AI-focused data and analytics company. The company presents itself as “the AI platform built for the autonomous era”, emphasizing an AI + Knowledge Platform and AI Services that help enterprises use data and artificial intelligence across cloud, on‑premises, and hybrid environments. Teradata is incorporated in Delaware and lists its principal executive offices in San Diego, California, according to recent SEC filings.

Teradata states that it offers “the most complete cloud analytics and data platform for AI” and focuses on delivering harmonized data and trusted AI so organizations can make more confident decisions and pursue faster innovation. Earlier Polygon data also characterizes Teradata as a company focused on helping organizations improve business performance, enrich customer experiences, and integrate data across the enterprise, with a platform that includes offerings such as Teradata VantageCloud, Teradata VantageCore, ClearScape Analytics, and Query Grid.

Business focus and platform capabilities

Across multiple press releases, Teradata describes its core offering as an AI and knowledge platform that connects to data wherever it resides—cloud, on‑prem, or hybrid—and scales to deliver the performance AI workloads require. The company highlights capabilities for:

• Integrating and harmonizing enterprise data into reusable, AI‑ready data products.
• Supporting analytics and machine learning directly where data lives, including in‑database AI/ML via ClearScape Analytics.
• Providing a Customer Intelligence Framework and Autonomous Customer Intelligence to turn customer signals into real‑time, context‑aware actions.
• Enabling agentic AI and autonomous agents through tools such as AgentBuilder, Teradata Agents, and an MCP Server (Model Context Protocol Server) that gives semantic access to enterprise data.

Teradata’s communications emphasize that its platform is designed for mission‑critical analytical and AI workloads in complex, distributed environments, including hybrid and multi‑cloud deployments. Analyst commentary cited by the company notes its performance and architecture for powering analytical and AI workloads in such environments.

AI Services and enterprise use cases

In addition to software, Teradata promotes Teradata AI Services, described as sprint‑based, use‑case‑driven services that help organizations move from AI pilots to production‑ready, agentic solutions. These services are structured in layers such as AI Activation, AI Value Realization, and AI Sustainment, and are intended to support customers at different AI maturity levels.

Public case studies show Teradata engaging with enterprises in sectors such as financial services, healthcare, manufacturing, and defense. Examples include anti–money laundering model deployment, analysis of large volumes of customer feedback, R&D optimization using vectorized documents and IoT/telemetry data, defense‑related object detection and pattern analysis, and secure processing of medical imaging data. These examples illustrate how Teradata positions its platform and services for high‑value, data‑intensive AI use cases.

Data fabric, data science, and machine learning positioning

Teradata has announced recognition in independent analyst and customer‑feedback reports that evaluate data fabric platforms and data science and machine learning (DSML) platforms. The company highlights scores related to vision, roadmap, real‑time performance, scalability, and product capabilities, and presents these as evidence of platform maturity for enterprise‑scale analytics and AI. It also references customer feedback on its DSML capabilities and platform performance.

In describing data fabric and agentic AI, Teradata points to the importance of systems that pursue defined goals, make context‑aware decisions, and optimize performance across complex data ecosystems. Its own data fabric positioning is tied to real‑time performance, scalability, and governance for AI‑driven decisioning.

Autonomous Customer Intelligence and customer experience focus

Teradata’s Autonomous Customer Intelligence offering is presented as a way to transform raw data and customer signals into real‑time, context‑aware actions. The company describes a layered architecture that includes:

• Data products as reusable, AI‑ready assets built on integrated data, using constructs such as Industry Data Models and Industry Analytic Schema.
• An analytics layer with feature engineering, an Enterprise Vector Store for generative and agentic AI, and ClearScape Analytics as an in‑database AI/ML engine.
• A signals layer that detects and scores customer behavior in real time, embedding signals into workflows.
• An agents layer with AgentBuilder, Teradata Agents, and AI applications that orchestrate decisions and activate intelligence across business functions.

Teradata links these capabilities to customer experience (CX) use cases such as customer lifetime value, personalization, churn prediction, anomaly detection, and real‑time engagement optimization.

AgentBuilder and agentic AI

AgentBuilder is described as a suite of capabilities for building and managing autonomous, contextually intelligent AI agents. According to Teradata, AgentBuilder leverages open‑source frameworks and is powered by the Teradata AI and knowledge platform, including the MCP Server. It is intended to help teams design, operationalize, and manage multi‑agent systems that use trusted data and advanced analytics.

Teradata has also described specific Teradata Agents, such as a SQL agent that converts natural‑language questions into SQL queries, a data science agent that creates executable machine learning pipelines from natural‑language requests, and a monitoring agent that observes Teradata databases and systems using telemetry. These examples illustrate how the company frames its agentic AI capabilities for technical and operational use cases.

Capital markets and regulatory context

Teradata’s common stock trades on the New York Stock Exchange under the symbol TDC. Recent Form 8‑K filings indicate that the company is incorporated in Delaware and maintains principal executive offices in San Diego, California. The filings also describe periodic earnings releases and outlook updates, as well as a stock repurchase program authorized by the board of directors. These regulatory disclosures provide investors with information on financial results, capital allocation decisions, and other material events.

Industry classification

For classification purposes, Teradata is associated with the Electronic Computer Manufacturing industry within the broader Manufacturing sector, while its own descriptions emphasize cloud analytics, AI platforms, and enterprise data services. Together, these perspectives position Teradata as a company focused on enterprise data, analytics, and AI infrastructure and services.

FAQs about Teradata Corporation (TDC)

• What does Teradata Corporation do?
  

  Teradata describes itself as an AI platform built for the autonomous era, offering an AI + Knowledge Platform and AI Services that help enterprises use harmonized data, analytics, and AI across cloud, on‑premises, and hybrid environments. Its communications emphasize enabling trusted AI, enterprise‑scale analytics, and agentic AI use cases.

• How does Teradata characterize its AI and data platform?
  

  The company states that it offers a cloud analytics and data platform for AI that connects to data wherever it resides and scales to deliver the performance AI needs. It highlights capabilities for harmonized data, trusted AI, in‑database analytics through ClearScape Analytics, and frameworks for customer intelligence and autonomous agents.

• What is Teradata AI Services?
  

  Teradata AI Services is described as a sprint‑based, use‑case‑driven services offering that combines embedded experts, methodology, and Teradata’s AI tools. It is intended to help organizations prioritize AI use cases, move from pilots to production, and sustain AI operations through layers such as AI Activation, AI Value Realization, and AI Sustainment.

• What is Autonomous Customer Intelligence?
  

  Autonomous Customer Intelligence is a software and services offering that Teradata presents as a way to transform raw data and customer signals into context‑aware, real‑time actions. It relies on data products, analytics, signals, and agents, and is tied to Teradata’s Customer Intelligence Framework and AI Services for customer experience use cases.

• What is AgentBuilder?
  

  AgentBuilder is a set of capabilities Teradata describes for building and managing autonomous AI agents. It uses open‑source frameworks together with Teradata’s AI and knowledge platform and MCP Server, enabling multi‑agent systems that can query, reason, and act using enterprise data and contextual knowledge.

• Which industries does Teradata reference in its AI case studies?
  

  Teradata’s public case studies mention engagements in financial services, healthcare, manufacturing, defense and security, and automotive manufacturing. The examples include use cases such as anti–money laundering, customer feedback analysis, R&D optimization, defense asset protection, and secure processing of medical imaging data.

• How is Teradata positioned in analyst and customer reports?
  

  Teradata has announced recognition in an analyst evaluation of data fabric platforms and inclusion in a customer‑feedback report on data science and machine learning platforms. The company cites scores related to vision, roadmap, real‑time performance, scalability, and product capabilities, as well as customer ratings and willingness‑to‑recommend metrics.

• Where is Teradata incorporated and where are its principal executive offices?
  

  According to recent Form 8‑K filings, Teradata Corporation is incorporated in Delaware and lists its principal executive offices in San Diego, California.

• On which exchange does Teradata trade and what is its ticker symbol?
  

  Teradata’s common stock trades on the New York Stock Exchange under the ticker symbol TDC, as indicated in the company’s news releases and regulatory filings.

• What information do Teradata’s recent SEC filings highlight?
  

  Recent Form 8‑K filings describe the release of quarterly financial results and outlook, the posting of supplemental materials, and the approval of a stock repurchase program. They also include standard forward‑looking statements language regarding expectations for financial and operating performance.