SAN DIEGO – Sept. 23, 2025 – Teradata (NYSE: TDC) as we speak introduced the launch of AgentBuilder, a collection of capabilities designed to speed up growth and deployment of autonomous, contextually clever AI brokers.
Leveraging open-source frameworks and powered by the Teradata AI and data platform, AgentBuilder provides groups the power to shortly design, operationalize, and handle multi-agent programs that draw on Teradata Vantage’s information, superior analytics and hybrid infrastructure. The brand new capabilities additionally embrace ready-to-deploy Teradata Brokers—task-driven templates that speed up implementation and ship speedy influence for advanced, domain-specific challenges.
Regardless of rising curiosity in agentic AI, there are important boundaries to operationalizing autonomous brokers. These embrace fragmented and siloed information which will result in hallucinations and unreliable outputs, a scarcity of embedded enterprise data that limits contextual relevance, efficiency bottlenecks and inflated prices from prompt-driven workloads, and inadequate governance that may make deployment dangerous.
“Add to that our seamless assist throughout cloud and on-premises environments, and we’re delivering a stage of flexibility, integration, and contextual intelligence that units Teradata aside. This isn’t nearly information—it’s about delivering trusted, clear, and full data to energy the subsequent era of AI,” added Arora.
Constructing on this basis, the Teradata MCP Server supplies the core infrastructure that powers AgentBuilder’s clever agent capabilities. MCP equips builders and AI practitioners with a curated set of prompts, parts, and assets that streamline entry to the Teradata Vantage platform—enabling brokers to question, cause, and act with better precision. By integrating MCP into AgentBuilder, Teradata ensures that brokers aren’t solely context-aware and educated, but in addition safe, scalable, and aligned with enterprise requirements. This tight coupling accelerates growth, enhances reliability, and allows organizations to unlock the complete potential of agentic AI throughout their hybrid environments.
On this early launch, AgentBuilder will assist fashionable open-source frameworks similar to Flowise and CrewAI, with LangChain and LangGraph deliberate to comply with. These instruments present versatile, modular constructing blocks for establishing agent workflows, reminiscence, reasoning, and coordination—important parts for creating autonomous programs. Mixed with Teradata’s enterprise-grade scalability, governance, and efficiency, this method accelerates the trail to real-world, agentic AI functions that repeatedly study and evolve their data base.
Teradata AgentBuilder additionally contains Teradata Brokers—pre-built templates for duties similar to churn evaluation and system monitoring—designed to assist groups shortly undertake agentic AI. These brokers tackle high-value, domain-specific challenges by making use of superior analytics, behavioral information, and contextual consciousness to advanced operational processes. They ship explainable, business-aligned outcomes and function autonomously throughout enterprise features. Constantly studying and adaptive, Teradata Brokers are perfect for high-impact use instances that demand precision, scalability, and belief.
Examples of Teradata Brokers embrace:
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Teradata SQL agent is a sophisticated technical agent that converts questions or requests expressed in pure language into SQL queries that may be executed towards Teradata information warehouse tables. It could possibly uncover schemas and desk definitions, and detect, right, and optimize question statements. This agent can be utilized with open-source frameworks in a multi-agent system.
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Teradata information science agent is a technical agent supplied by Teradata that creates absolutely executable ML (machine studying) pipelines from pure language requests. It combines the facility of LLMs, Teradata MCP instruments (a part of the MCP Server), and linguistics which helps with multi-step reasoning, contextual understanding, and motion execution throughout the ML workflow steps to generate experiences and insights.
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Teradata monitoring agent is an clever automation device designed to repeatedly monitor and handle Teradata databases, servers, and sub-systems. By leveraging real-time telemetry and system insights, the agent proactively maintains system well being, detects anomalies earlier than they escalate, and optimizes efficiency throughout the enterprise.
Teradata AgentBuilder might be accessible in personal preview in This fall 2025.
