Teradata, introduced Teradata Enterprise AgentStack, a new solution purpose-built to help enterprises transition from isolated AI agent pilots to production-grade, autonomous systems-quickly and reliably-even across complex, multi-agent and hybrid environments.
Product Overview
Teradata Enterprise AgentStack is a transparent, interconnected framework that integrates the whole AI agent lifecycle. It empowers businesses to create, launch, and control smart agents on a large scale. The solution combines Enterprise MCP for safe data finding and system integration, AgentBuilder for quick agent creation, AgentEngine for large, scale deployment, and AgentOps for continuous governance and operational supervision.
Key Capabilities
Create smart AI agents that can safely find and use enterprise data. These agents are enhanced with context and reasoning to achieve autonomous results.
Enable trusted, scalable interaction between agents and enterprise knowledge using enterprise-grade analytics.
Deploy, monitor, and manage AI agents. They have built-in security and governance. You can use them in cloud and on-premises environments.
Why It Matters
Many enterprises move past the experimentation stage but face a growing gap. This gap exists between promising pilot projects and scalable deployments that deliver ROI. Lifecycle complexity is the main challenge, this involves securely integrating trusted data, applying enterprise context, enforcing governance, and maintaining compliance across hybrid environments. Organizations may find their innovations stall. At the same time, they could face rising operational costs and delayed returns on AI investments. This often happens when they don’t adopt a unified approach.
This challenge is highlighted by research. It shows that companies built for the future with AI can grow their revenue up to five times more than others (BCG, 2025).
Also Read: Vertiv Introduces AI Predictive Maintenance for Data Centers
Why Teradata
Teradata has decades of experience in enterprise analytics. It offers great price-for-performance. This is enhanced by its Autonomous AI + Knowledge Platform. This foundation provides AI agents secure access to important data in Teradata systems. This data is crucial for reliable outcomes. It also meets the growing processing needs of today’s AI workloads.
Teradata offers a complete, ready-to-use solution. It combines security, governance, and contextual intelligence, unlike fragmented toolchains. The result is faster innovation, more reliable outcomes, and cost efficiency at true enterprise scale.
Executive Perspective
“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
What Teradata Enterprise AgentStack Delivers
Build Agents
Market Challenge: Many organizations struggle to securely integrate trusted data and inject enterprise context into agent reasoning. Limited tooling and complex data requirements slow the transition from prototype to production, increasing cost and risk.
Teradata Enterprise AgentStack simplifies agent creation through two core components:
AgentBuilder
AgentBuilder accelerates intelligent agent development with integrated no-code and pro-code frameworks. Aligned with Teradata’s open ecosystem strategy, it supports tools such as Karini.ai, LangGraph, CrewAI, and Flowise. Agents can leverage Teradata’s context intelligence—including industry data models, frameworks, and expert prompts-alongside capabilities from cloud providers, NVIDIA, and open LLM APIs. Pre-built agents support common enterprise use cases such as customer lifetime value analysis, SQL optimization, data science workflows, and system monitoring.
“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,” said Nitin Wagh, Cofounder & CEO of Karini AI.
Enterprise MCP (New)
Enterprise MCP provides a curated set of enterprise-grade tools, prompts, and resources designed for secure, high-quality integration with Teradata’s platform. It enables rapid discovery, orchestration, and integration of mission-critical data into agent workflows, supporting context-rich interactions between AI models and Teradata’s analytics environment. Agent actions include structured and unstructured data querying, advanced analytics, document extraction, semantic search, RAG-grounded responses, metadata discovery, and SQL generation and optimization.
Deploy Agents
Market Challenge: Packaging agents with the required models, tools, permissions, and memory—while enforcing governance and security—adds significant complexity and slows deployment across hybrid environments.
Teradata Enterprise AgentStack addresses these challenges with:
AgentEngine (New)
AgentEngine is a safe and scalable place to run AI agents. You can use it on cloud or on-premises systems. It supports single agents and multi-agent systems. You can also create custom workflows from any agentic framework. This lets agents work together, sharing memory, data structures, and execution logic. Agents use Teradata LLM APIs and MCP tools for language tasks. Persistent memory helps them have context-rich conversations. AgentEngine is built for enterprise use. It deploys easily with Docker and Kubernetes. It also provides strong security, identity and access management, and observability across the Teradata ecosystem.
Teradata’s Enterprise AgentStack helps organizations use agentic AI effectively. It connects experimentation with large-scale, independent operations.