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Cognizant Launches "Agent Foundry" to Help Enterprises Scale Autonomous AI Agents

By Maham Fatima | July 15, 2025, 8:58 AM

Cognizant Technology Solutions Corporation (NASDAQ:CTSH) is one of the best tech stocks to buy under $100. On July 10, Cognizant announced the launch of Cognizant Agent Foundry, which is a new offering to help enterprises build, deploy, and manage autonomous AI agents at scale.

Cognizant Agent Foundry provides a composable and platform-agnostic pathway for organizations to become agentic enterprises, where humans and AI agents collaborate across functions. The offering includes a framework, reusable assets (using Cognizant’s proprietary intellectual property and third-party solutions), and implementation services.

Cognizant Launches "Agent Foundry" to Help Enterprises Scale Autonomous AI Agents
A data analyst using cutting-edge analytics to accurately interpret complex sets of data.

Cognizant Agent Foundry has a modular design, composability, enterprise-grade governance, and multi-platform interoperability. It uses Cognizant’s technological expertise and deep industry knowledge through foundational elements such as domain-specific small language models/SLMs, industrialized agent templates (built using platforms like Cognizant Neuro AI Multi-Agent Accelerator), and a pre-built library of proprietary and third-party agents to accelerate deployment.

Cognizant Technology Solutions Corporation (NASDAQ:CTSH) is a professional services company that provides consulting & technology, and outsourcing services internationally.

While we acknowledge the potential of CTSH as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you’re looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.

READ NEXT: 30 Stocks That Should Double in 3 Years and 11 Hidden AI Stocks to Buy Right Now.

Disclosure: None. This article is originally published at Insider Monkey.

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