Teradata Unveils Enterprise AgentStack to Accelerate Agentic AI

Rhea-AI Summary

Teradata (NYSE: TDC) launched Enterprise AgentStack on Jan 27, 2026 — an integrated toolkit to build, deploy, and govern production-grade AI agents across hybrid environments.

The stack includes Enterprise MCP for secure data discovery, AgentBuilder for no-code/pro-code agent creation, AgentEngine for scalable hybrid deployment, and AgentOps for centralized monitoring and governance. Partners and integrations include Karini.ai, LangGraph, CrewAI, Flowise, cloud providers, and NVIDIA. Teradata says cloud availability is planned for Q2 2026, with on-prem availability later in the year.

Positive

• Cloud availability scheduled for Q2 2026
• Unified stack combining build, deploy, and governance
• Hybrid deployment via Docker and Kubernetes support
• Pre-built agents for SQL optimization and CLV use cases
• Integrations with Karini.ai, LangGraph, CrewAI, Flowise, NVIDIA

Negative

• On-prem availability delayed until later in 2026
• No pricing or customer contracts disclosed in announcement
• Governance remains a major industry challenge (93% cited)

News Market Reaction

-0.40%

1 alert

-0.40% News Effect

On the day this news was published, TDC declined 0.40%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Revenue uplift stat: 5x revenue increases Governance challenge rate: 93% Availability timing: Q2 cloud launch

3 metrics

Revenue uplift stat 5x revenue increases AI future-built organizations vs peers (BCG, 2025)

Governance challenge rate 93% Share of organizations reporting AI governance challenges (NewtonX survey)

Availability timing Q2 cloud launch Teradata Enterprise AgentStack cloud availability

Market Reality Check

Price: $29.69 Vol: Volume 1,003,453 is rough...

normal vol

$29.69 Last Close

Volume Volume 1,003,453 is roughly in line with 20-day average 1,051,656, indicating no unusual trading activity ahead of this AI launch. normal

Technical Price at $29.70 is trading above the 200-day MA of $23.81 and about 10% below the 52-week high of $33.03.

Peers on Argus

TDC was up 1.16% while AI-related peers were mixed: AI +1.89%, FIVN +4.84%, APPN...

TDC was up 1.16% while AI-related peers were mixed: AI +1.89%, FIVN +4.84%, APPN +1.21%, and EVTC -0.77%. No peers appeared in the momentum scanner, pointing to a stock-specific AI product launch rather than a broad sector move.

Previous AI Reports

5 past events · Latest: Oct 20 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Oct 20	AI awards	Positive	+0.5%	Announced 2025 AI Innovation Award winners highlighting customer AI achievements.
Oct 28	AI services launch	Positive	+0.4%	Launched Teradata AI Services to turn AI pilots into production agentic solutions.
Nov 03	AI leadership hire	Positive	+3.5%	Appointed Chief Data and AI Officer to lead data and AI strategy and deployment.
Jan 13	AI engagements update	Positive	-1.7%	Reported 150+ AI-focused customer engagements completed in 2025 across industries.
Jan 13	AI platform recognition	Positive	-1.7%	Included in Gartner Peer Insights Voice of the Customer for DSML platforms.

Pattern Detected

AI-tagged announcements have typically produced modest moves, with a mix of positive and negative price reactions despite generally positive AI-related developments.

Recent Company History

Over recent quarters, Teradata has issued multiple AI-focused updates, including AI Innovation Awards on Oct 20, 2025, launch of Teradata AI Services on Oct 28, 2025, and the appointment of a Chief Data and AI Officer on Nov 3, 2025. More recently, AI engagement and recognition news on Jan 13, 2026 drew mixed price reactions. Today’s Enterprise AgentStack launch fits this ongoing shift toward agentic AI and production-ready enterprise use cases.

Historical Comparison

AI

+1.6 %

Average Historical Move

Historical Analysis

In the past year, Teradata’s AI-tagged releases averaged moves of about ±1.57%, with mixed alignment between upbeat AI news and share reactions, framing today’s AgentStack launch within a pattern of moderate volatility.

Typical Pattern

AI news has progressed from customer awards and services, to dedicated AI leadership and large engagement counts, now extending into a full Enterprise AgentStack for agentic AI deployment and governance.

Market Pulse Summary

This announcement introduces Enterprise AgentStack, a unified stack for building, deploying, and gov...

Analysis

This announcement introduces Enterprise AgentStack, a unified stack for building, deploying, and governing AI agents across hybrid environments. It extends Teradata’s prior AI efforts—services, leadership appointments, and customer engagements—toward more production-ready agentic workflows. Investors may focus on adoption traction, governance capabilities addressing the cited 93% governance challenge rate, and how this platform supports Teradata’s broader Autonomous AI + Knowledge strategy over time.

Key Terms

multi-agent, semantic search, llm apis, kubernetes, +2 more

6 terms

multi-agent technical

"move from isolated pilots to production-grade autonomy quickly, even across multi-agent"

Multi-agent describes a system, strategy, or therapy made up of multiple independent actors—such as software programs, robots, drugs, or people—that interact and coordinate to achieve a task. Think of it like a team sport versus a solo player: teamwork can deliver stronger results but requires coordination. Investors track multi-agent setups because they can boost performance or treatment effectiveness while introducing extra complexity, cost, regulatory scrutiny and coordination risk that affect returns.

semantic search technical

"Agentic actions include querying structured and unstructured data, advanced analytics, document extraction, semantic search, RAG-grounded responses"

Semantic search is a way for computer systems to find information by understanding the meaning behind words instead of just matching exact keywords. For investors, it helps surface relevant filings, news, and research even when different words or phrasing are used, so you’re less likely to miss important signals and can make faster, better-informed decisions—like asking a knowledgeable analyst who grasps context rather than scanning for specific phrases.

llm apis technical

"Agents access Teradata LLM APIs and MCP tools for language capabilities"

LLM APIs are application programming interfaces that let software connect to large language models—advanced AI systems that generate and understand human-like text. They matter to investors because they allow companies to quickly add features like automated customer service, content creation, or data analysis without building the AI from scratch; like renting a powerful tool instead of making one, this can change costs, revenue potential and competitive strength.

kubernetes technical

"AgentEngine deploys via Docker and Kubernetes with robust security"

Kubernetes is an open-source system that automates running and managing many pieces of software across groups of computers, like a conductor coordinating musicians so each piece plays at the right time and place. For investors, it matters because companies that use it can deploy updates faster, scale services up or down automatically, and cut infrastructure costs — factors that influence growth, reliability and operating margins.

human-in-the-loop technical

"compliance checks, and human-in-the-loop controls—keeping agents safe"

Human-in-the-loop describes systems where people supervise, check, or make final decisions on work performed by automated tools or algorithms. Like a pilot overseeing an autopilot, humans step in to catch errors, interpret nuance, and apply judgment that machines may miss. For investors, this matters because human oversight can reduce operational and regulatory risk, improve decision quality, and increase trust in results produced by automated systems.

vectorized documents technical

"R&D productivity gains using vectorized documents and IoT data"

Vectorized documents are text files transformed into numerical fingerprints that a computer can compare and analyze, turning paragraphs into lists of numbers that capture their meaning and relationships. For investors, this makes it easy to quickly search, cluster, and spot patterns across filings, press releases and research—like finding similar documents on a map—so you can surface risks, trends or opportunities faster and automate routine analysis.

AI-generated analysis. Not financial advice.

 Integrated toolkit for building, deploying, and managing AI agents

SAN DIEGO, Jan. 27, 2026 /PRNewswire/ -- Teradata (NYSE: TDC) today announced Enterprise AgentStack, designed to help enterprises to move from isolated pilots to production-grade autonomy quickly, even across multi-agent and hybrid environments.

Product Description
Teradata Enterprise AgentStack is an open and connected stack that unifies the AI agent lifecycle to deliver production-ready agents with context and interoperability across hybrid environments. It includes Enterprise MCP for secure data discovery and system integration, AgentBuilder for creation, AgentEngine for deployment, and AgentOps for governance.

Key Capabilities:

• Build intelligent agents that can find and use enterprise data, alongside context and reasoning, for autonomous outcomes.
• Enable secure, scalable interaction between agents and enterprise knowledge, with enterprise-grade analytics.
• Deploy, monitor and manage agents with security and governance across cloud and on-prem environments.

Why It Matters
Enterprises face a critical gap between agent experimentation and scaled deployment as leadership demands measurable ROI. The primary barrier is lifecycle complexity—finding and integrating trusted data, applying enterprise knowledge and context, enforcing governance, and maintaining compliance across hybrid environments. Without addressing these challenges, organizations risk stalled innovation and rising operational costs.

• Supporting stat: AI future-built organizations—those with the right capabilities to drive innovation and reinvention with AI—achieve 5x the revenue increases compared to their peers. (BCG, 2025)

Why Teradata
Teradata combines decades of leadership in price-for-performance and enterprise-scale analytics with an Autonomous AI + Knowledge Platform. This foundation provides access to mission-critical data within Teradata systems—essential for accurate, trusted agentic outcomes—while meeting the exponential processing demands of AI workloads.

Unlike fragmented solutions, Teradata delivers production-ready agents, backed by integrated security, governance, and context. The result: faster innovation, trusted outcomes, and cost efficiency at true enterprise scale.

Executive Quote
"Enterprise AgentStack is essential for enabling the autonomous enterprise—an organization that applies knowledge, context, and agentic reasoning to deliver superior outcomes. By collapsing complexity into a unified platform, we help enterprises move from concept to intelligent agent in minutes—not months—while meeting scale and governance requirements. And because Teradata customers have mission-critical data already in our systems—a gold mine ready for agents to find, use, and act on—they gain a shortcut that helps turn agentic AI from aspiration into reality."
— Sumeet Arora, Chief Product Officer

What does Teradata Enterprise AgentStack Do?

Build Agents

Market Challenges: Organizations struggle to securely integrate trusted data and inject context into agent reasoning. Limited tooling and complex data requirements make moving from prototype to production slow and costly.

Enterprise AgentStack includes two components to simplify and accelerate the building process:

• AgentBuilder: A tool for building intelligent agents faster, using integrated no-code and pro-code frameworks. In alignment with Teradata's open and connected strategy, options include Karini.ai, LangGraph, CrewAI, and Flowise. Agents access Teradata's context intelligence—industry data models, frameworks, and expert prompts—combined with tools from cloud service providers, NVIDIA, and open LLM APIs. Pre-built agents include Customer Lifetime Value, SQL optimization, data science workflows, and system monitoring.
  
  Supporting Quote: "Our collaboration with Teradata on Enterprise AgentStack accelerates the shift toward truly autonomous enterprises. By pairing Teradata's analytic performance and trusted data foundation with our no-code agentic AI platform, organizations can transform static data into dynamic, intelligent workflows. Together, we're enabling enterprises to scale agentic AI with confidence and deliver measurable impact faster."
  — Nitin Wagh, Cofounder & CEO of Karini AI
  
  
• *New* Enterprise MCP: A curated set of tools, prompts, and resources that provide enterprise-grade quality, security, and deep integration with Teradata platform capabilities. It provides ready-to-use components for discovering, orchestrating, and integrating mission-critical Teradata data into agent workflows—enabling fast, secure, context-rich interactions between AI models and Teradata's analytics and AI platform. Agentic actions include querying structured and unstructured data, advanced analytics, document extraction, semantic search, RAG-grounded responses, metadata discovery, and SQL generation and optimization.

Deploy Agents

Market Challenges: Creating secure, scalable runtime environments that enforce permissions and guardrails is hard. Packaging agents with the necessary tools, models, and memory adds even more complexity, slowing the path to production.

Enterprise AgentStack addresses these deployment challenges across the cloud and on-premises:

• *New* AgentEngine: A secure, scalable execution environment for deploying AI agents across hybrid infrastructures. It supports single agents, multi-agent systems, and custom workflows from any agentic framework—enabling agents to run together seamlessly while sharing memory, data structures, and execution workflows. Agents access Teradata LLM APIs and MCP tools for language capabilities, while persistent memory using structured and unstructured data enables context-rich interactions. Built for enterprise readiness, AgentEngine deploys via Docker and Kubernetes with robust security, identity and access management, and observability features across the Teradata ecosystem—on-premises or in the cloud.

Manage and Monitor Agents

Market Challenges: Enterprises lack clear visibility into agent reasoning, tool use, and actions, making governance and compliance difficult. Managing drift, reliability, and cost as agents scale adds further risk.

• Supporting stat: According to a survey conducted for Teradata by NewtonX, governance has emerged as a nearly universal challenge: An overwhelming majority (93%) report challenges in creating governance and guardrails for AI initiatives.

Enterprise AgentStack provides robust capabilities for managing and monitoring agents:

• *New* AgentOps: A unified interface for centralized discovery, monitoring, and lifecycle management of AI agents across the organization. It ensures security and governance through policy enforcement, guardrails, evaluations, compliance checks, and human-in-the-loop controls—keeping agents safe, predictable, and aligned with business goals. An integrated agent playground enables rapid prototyping and experimentation, allowing teams to move from idea to production with confidence while maintaining full operational visibility, auditability, and control at scale.

Teradata Enterprise AgentStack Availability
Available on cloud in Q2 and on-prem later in the year.

About Teradata
Teradata is the AI platform built for the autonomous era. Our AI + Knowledge Platform and multifaceted AI Services help enterprises deploy solutions with deep domain expertise and full enterprise context. Wherever data resides—cloud, on-prem, or hybrid—Teradata connects and scales to deliver the performance AI needs. Learn more at Teradata.com.

The Teradata logo is a trademark, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the U.S. and worldwide.

MEDIA CONTACT
Jennifer Donahue
Jennifer.Donahue@Teradata.com

View original content:https://www.prnewswire.com/news-releases/teradata-unveils-enterprise-agentstack-to-accelerate-agentic-ai-302670352.html

SOURCE Teradata

FAQ

What is Teradata Enterprise AgentStack and which components does it include (TDC)?

Enterprise AgentStack is an integrated toolkit including Enterprise MCP, AgentBuilder, AgentEngine, and AgentOps to build, deploy, and govern AI agents.

When will Teradata Enterprise AgentStack be available on cloud and on-prem (TDC)?

Teradata plans cloud availability in Q2 2026 and on-prem deployment later in 2026.

Which integrations and partners does Teradata AgentStack support (TDC)?

AgentStack integrates with Karini.ai, LangGraph, CrewAI, Flowise, cloud providers, NVIDIA, and open LLM APIs.

How does AgentEngine support hybrid deployments for Teradata customers (TDC)?

AgentEngine deploys via Docker and Kubernetes, enabling secure, scalable execution across cloud and on-premises environments.

What governance capabilities does Teradata AgentOps provide for enterprise agents (TDC)?

AgentOps offers centralized discovery, policy enforcement, guardrails, compliance checks, human-in-the-loop controls, and auditability.