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Scaling AI from pilot to production

By 2027, 75% of business applications will embed generative AI, yet most enterprises remain stuck in pilot mode. Moving from pilot to production requires a platform that not only creates AI agents—it must also run, manage and optimize them at an enterprise scale.
Cognizant Neuro® AI Engineering is a full-stack, enterprise-grade platform that manages the entire agentic AI lifecycle. With built-in governance, automation and a unified workspace, it empowers cross-functional teams to collaborate seamlessly. While your teams focus on solving real business challenges, it handles the heavy lifting—accelerating scale, resilience and responsible AI.

Platform benefits and features

Accelerated AI innovation and time to market

Enable rapid prototyping with prebuilt components, significantly reducing the time from concept to production.

SLMs: Optimize for cost, performance and security

Realize cost-effective agentic AI services using an optimal mix of LLMs and SLMs to enhance security and data privacy by processing sensitive data in your controlled environment.

Deploy AI with confidence

Embed best practices and governance across the AI stack to reduce risk. Use predefined prompts, templates and fine-tuned log analyzers to ensure the delivery of robust, high-quality and responsible AI solutions.

Improved business agility and adaptability

Enable quick and cost-effective experimentation with new AI technologies/models and incremental scaling using a composable architecture, multi-provider support and continuous deployment capabilities. 

Strategic visibility and governance

Centralize visibility and control over AI models, infrastructure, datasets and usage patterns across the organization with a full-stack approach and single interface.

AI multi-agent capabilities

Support a choice of popular third-party agentic AI frameworks such as CrewAI, AutoGen, and AWS Bedrock as well as Cognizant’s own Neuro AI Multi-Agent Accelerator—enabling multi-agent interoperability and integration.

Interoperability across infrastructure providers

Use a template-based approach with pluggable modules to facilitate switching between cloud (e.g., AWS, Azure, GCP) or private infrastructure (e.g., NVDIA) with relative ease and lower risks.

Observability and metrics

Provide consistent tools for observability, performance tracking, and estimating response times and costs across every environment.

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Partner with us

Leaders in modern engineering

Cognizant’s deep experience supporting enterprise-scale systems modernization and innovation makes us an ideal partner for next-generation engineering.

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Deep industry domain expertise

Our teams bring extensive industry and functional domain expertise that help drive business process and workflow innovation.

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At the forefront of AI-powered automation

We work with hyperscalers and clients every day to build the future of enterprise-grade AI-powered automation, and we’re using this expertise to redefine software engineering.

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Let us show you

For a demo and to learn how Neuro AI Engineering can help your organization build better AI systems, faster, please share details below.