Cognizant has announced the open-sourcing of its Neuro® AI Multi-Agent Accelerator for research and academic use. This strategic move aims to make scalable agent networks accessible to every enterprise, empowering domain experts, researchers, and developers to immediately begin prototyping and building agent networks for virtually any use case. By open-sourcing this software, Cognizant seeks to accelerate AI adoption by fostering collaboration in developing and customizing multi-agent systems for adaptive operations and real-time decision-making. For commercial deployment at scale, enterprises can leverage Cognizant's Multi-Agent Services Suite under a commercial license.
The AI Agents Market is expected to experience rapid growth, projected to increase from USD 5.1 billion in 2024 to USD 47.1 billion by 2030. Cognizant's initiative to open-source its Neuro® AI Multi-Agent Accelerator directly addresses this trend by speeding up how enterprises can leverage interconnected agents to explore new revenue streams and drive scalable business value. Developed by Cognizant's AI Lab, this open-sourced software underscores Cognizant's leadership in AI innovation and its commitment to advancing the application of AI Agents.
Clients like Telstra, Australia's leading telecommunications and technology company, are already working with Cognizant to test and deploy multi-agent systems.
"The open sourcing of the Neuro AI Multi-Agent Accelerator will further empower our teams to rapidly prototype and integrate existing AI agents, and help accelerate our software development lifecycle," said Telstra's Group Executive for Product and Technology, Kim Krogh Andersen. "We're already starting to see the potential for gains in quality, velocity and efficiency as a result."
Cognizant has also successfully assisted a healthcare company in creating a Contract Negotiator agent network, which significantly speeds up medical appeal processing times. Similarly, a consumer packaged goods firm benefited from Cognizant's expertise in analyzing supply chain management. Currently, Cognizant is engaged in over 65 client discussions regarding agentic AI, highlighting the growing demand for these solutions.
Building a successful multi-agent network necessitates the ability to orchestrate diverse agents, tools, and knowledge sources. This includes general-purpose large language models (LLMs) and organization-specific systems such as service level management (SLMs) or retrieval-augmented generation (RAG) frameworks. Cognizant's Neuro AI Multi-Agent Accelerator is designed to enable virtually seamless integration with APIs, RAG, and third-party agents like Salesforce's Agentforce, Google's Agentspace, or Crew AI—either through its native Model Context Protocol (MCP) or standard API calls. An optional inter-agent coordination protocol allows these agents to autonomously organize, delegate tasks, and route processes, thereby boosting efficiency and minimizing errors. The Agent2Agent (A2A) protocol is also supported, further expanding agent collaboration across clouds, platforms, and organizational boundaries.
"To stay competitive in the era of agentic AI, enterprises must be free to experiment—to explore how agents can transform business processes and drive operational efficiencies," said Babak Hodjat, Chief Technology Officer of AI at Cognizant. "By open-sourcing Neuro AI Multi-Agent Accelerator, we're expanding access to our cutting-edge multi-agent technology—empowering developers to innovate faster, and enabling decision-makers, regardless of technical background, to rapidly prototype systems and directly observe their impact on key performance indicators."
"Agentforce is built on Salesforce's deeply unified platform that is open and extensible, empowering our ecosystem of partners and builders to innovate with AI that's grounded in trust. Cognizant's decision to open source its Neuro AI Multi-Agent Accelerator exemplifies the kind of partnership that helps our customers move faster and innovate with confidence," said Gary Lerhaupt, Vice President of Product Architecture, Salesforce. "Together, we're enabling enterprises to deploy agents that think, collaborate, and deliver value—across every corner of their business."
Key Features of Neuro® AI Multi-Agent Accelerator include:
Cognizant has successfully scaled the use of agents internally, with thousands of employees now utilizing 1Cognizant, an intranet assistant powered by its Neuro AI Multi-Agent Accelerator. This tool consolidates and organizes multiple agents to efficiently assist employees with various tasks, ranging from reserving meeting rooms and calling cabs to handling complex inquiries like moving countries or getting married. 1Cognizant now provides immediate actionable advice and assistance, significantly increasing efficiency and breaking down internal silos within the organization.
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