NobleAI offers a cloud-delivered VIP (Visualizations, Insights & Predictions) Platform that combines data management, model building, model lifecycle management, interpretability, and domain-focused workflows to accelerate R&D and product development in chemicals, materials, formulations, lubricants, batteries and related energy sectors. Core value propositions reported on the site are speed of development, explainability, and data-efficient machine learning aimed at reducing expensive experiments and shortening development timelines. Key platform capabilities described include cloud-based storage and management for structured and unstructured scientific data; a no-code Model Builder that enables tailored models for formulations and materials without coding; the ability to deploy and expose data scientists' own models so others can run predictions while preserving model ownership and maintenance; model lifecycle features (creation, versioning, deployment, monitoring and selection of best models); multiple job/prediction modes (forward predictions, parameter sweeps, inverse design, and batch predictions); rich visualizations and explainability tools with export options; and collaborative, secure team deployment with enterprise controls. Representative use-case workflows mentioned include formulation optimization, ingredient replacement and risk assessment, performance/cost/safety tradeoff analysis, inverse design (design-to-target), and asset performance/operations decision support. The site lists primary industries and customers in chemicals, materials, formulations, lubricants, batteries, cable materials and broader energy sectors, and provides case studies (for example: Vickers Oils for lubricants and Viakable for sustainable cable materials). Leadership, investors and press highlights are listed on the About and Resources pages. No public pricing or subscription plans are published; the company points prospective customers to contact sales / request a demo for pricing, deployment details, and pilot discussions.