Cognizant today announced it has open-sourced its Neuro® AI Multi-Agent Accelerator for research and academic use. This pioneering software empowers developers, researchers, and domain experts to prototype and build customizable multi-agent networks for adaptive operations and real-time decision-making across diverse industries. The move accelerates AI adoption by fostering collaboration and innovation in multi-agent AI systems.
Market Context and Growth Potential
- The AI Agents Market is forecasted to surge from USD 5.1 billion in 2024 to USD 47.1 billion by 2030, driven by increasing enterprise adoption of interconnected AI agents.
- Cognizant’s open-source release positions it as a leader in multi-agent AI innovation, supporting scalable deployment through its commercial Multi-Agent Services Suite.
Features of Neuro® AI Multi-Agent Accelerator
- Intelligent Opportunity Discovery: Automatically suggests tailored agent networks based on company names or problem areas to accelerate implementation.
- Rapid Customization: Supports natural language customization and domain-specific templates for faster development with reduced risk.
- Scalable and Distributed: Integrates APIs, third-party agents like Salesforce’s Agentforce and Google Agentspace, with intelligent self-organization and task delegation via coordination protocols.
- Security and Compliance: Designed for regulated industries, isolating confidential data through secure private data channels.
- LLM and Cloud Agnostic: Supports multiple commercial and open-source LLMs and cloud providers without rebuilding systems.
- Extensible Tools and Multi-Server Deployment: Custom-coded tools and distributed sub-networks enable real-time data grounding and scalable, geographic deployments.
- Data-Driven and Testable: Uses data-only configuration files for version control and auditability; includes testing capabilities for network bottlenecks and errors.
Industry Use Cases and Client Success
- Telstra, Australia’s telecom giant, is deploying multi-agent systems to improve software development velocity, quality, and efficiency.
- Cognizant helped a healthcare client speed up medical appeal processing with a Contract Negotiator agent network.
- A consumer packaged goods firm optimized supply chain management through agent networks.
- Over 65 active client discussions are underway to explore agentic AI solutions.
Intranet Assistant Powered by Neuro AI
Cognizant’s internal tool, 1Cognizant, leverages the Neuro AI Multi-Agent Accelerator to assist thousands of employees with daily tasks such as booking meeting rooms and managing personal inquiries. This AI-driven assistant enhances operational efficiency and breaks down organizational silos.
Leadership Insights
- Babak Hodjat, CTO AI, Cognizant: Highlights the importance of open access to multi-agent technology for innovation and rapid prototyping, enabling decision-makers across technical backgrounds to witness AI’s business impact.
- Gary Lerhaupt, VP Product Architecture, Salesforce: Emphasizes the partnership synergy, enabling enterprises to deploy collaborative AI agents with confidence and trust.
By open-sourcing Neuro® AI Multi-Agent Accelerator, Cognizant is enabling broader experimentation and innovation in agentic AI. This move strengthens the ecosystem for adaptive, scalable AI solutions and accelerates enterprise adoption, setting new standards in multi-agent AI development and deployment.
