HCL Domino

Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.

iDNA Applications by panagenda is an analytics platform purpose-built for HCL Notes/Domino environments, giving IT and modernization teams the data-driven insight needed to plan migrations, consolidations, or retirements with confidence. Instead of relying on guesswork, iDNA automatically inventories every NSF database and evaluates it across five dimensions: Status Quo (technical health), Usage (real activity levels), Contentage (content volume/relevance), Code (design and code complexity), and Showstoppers (blockers to migration). It auto-discovers applications, flags dormant or abandoned databases as retirement candidates, and detects design/code similarity across the portfolio so redundant work is not repeated. Visualized, drillable analytics let architects quickly separate simple, low-risk apps from complex ones needing deeper redevelopment, turning a sprawling, undocumented Domino landscape into a prioritized strategic roadmap for large, long-lived enterprise Domino environments.