Teradata Debuts Enterprise AgentStack, an Integrated Toolkit for Building, Deploying, and Managing AI Agents

Teradata is releasing Enterprise AgentStack, a solution designed to help enterprises to move from isolated pilots to production-grade autonomy quickly across multi-agent and hybrid environments.

According to the company, the 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.

It offers key capabilities such as: 

• 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.

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. 
• 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.

“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,” said Sumeet Arora, chief product officer, Teradata.

The solution will be available on cloud in Q2 and on-prem later this year. 

For more information about this news, visit www.teradata.com.