Teradata unveils AgentBuilder for autonomous AI agent development

SAN DIEGO - Teradata (NYSE:TDC), a $2.1 billion enterprise data analytics company with robust gross margins of 59%, announced Tuesday the launch of AgentBuilder, a suite of capabilities designed to help enterprises develop and deploy autonomous AI agents with contextual intelligence. According to InvestingPro analysis, the company appears undervalued based on its Fair Value estimates, suggesting potential upside for this new strategic initiative. The new offering will be available in private preview in Q4 2025, with demonstrations planned at the company’s Teradata Possible 2025 event in October.

AgentBuilder leverages open-source frameworks including Flowise and CrewAI, with support for LangChain and LangGraph planned for future releases. The platform is powered by Teradata’s AI and knowledge platform, including its recently launched Model Context Protocol (MCP) Server.

The solution includes pre-built templates called Teradata Agents that focus on specific business challenges. These include a SQL agent that converts natural language into database queries, a data science agent that creates machine learning pipelines, and a monitoring agent that oversees database systems.

"AgentBuilder represents meaningful progress in advancing agentic AI for the autonomous enterprise," said Sumeet Arora, Chief Product Officer at Teradata, according to the press release.

The company positions AgentBuilder as addressing key challenges in operationalizing AI agents, including data fragmentation that can lead to unreliable outputs, lack of business context, performance issues, and governance concerns. Trading at an attractive PEG ratio of 0.24, Teradata’s investment in AI innovation appears well-timed. InvestingPro subscribers can access 8 additional key insights about Teradata’s financial health and growth prospects, along with comprehensive analysis in the Pro Research Report.

The platform is designed to work across both cloud and on-premises environments, allowing organizations to build and manage multiple agents that can operate autonomously while maintaining security and governance standards.

Teradata’s announcement comes as enterprises increasingly seek ways to implement autonomous AI systems that can handle complex tasks while maintaining reliability and business alignment. With an EBITDA of $276 million in the last twelve months, the company demonstrates the financial strength to support its AI initiatives. The company indicates the new capabilities will help organizations move from experimental AI agent implementations to production-ready systems.

In other recent news, Teradata Corp reported a strong performance for the second quarter of 2025. The company posted earnings per share (EPS) of $0.47, exceeding analysts’ projections of $0.40, marking a 17.5% earnings beat. Additionally, Teradata’s revenue reached $408 million, slightly surpassing the anticipated $400.89 million. These results have been well-received by investors, as indicated by the positive sentiment in the market.

In another development, UBS maintained its Neutral rating for Teradata, with a price target set at $23.00. The firm highlighted that a potential positive scenario for Teradata could arise if the Total Annual Recurring Revenue (ARR) growth stabilizes around breakeven in the upcoming quarters. UBS anticipates a return to low single-digit growth next year. These recent developments are crucial for investors monitoring Teradata’s financial health and market position.

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