Build and deploy AI solutions, faster

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

Embed best practices and governance across the AI stack to deliver higher quality, robust AI solutions while proactively mitigating compliance and security risks.

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. 

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

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.

Use a modular and extensible approach including predefined prompts, templates and fine-tuned LLM log analyzers to ensure responsible AI deployment.

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.

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