The main criteria include alignment with learning objectives and student needs, accessibility in accordance with WCAG, and ease of use for people-centric AI solutions beyond isolated pilots.
Inetum has launched Coborg, an AI framework designed to help companies scale reliable AI solutions. The platform aims to integrate data, processes, and people into a cohesive system that delivers measurable business impact across various sectors.
The framework has already delivered tangible results in the aerospace industry, generating over €200 million in predictive maintenance savings and reducing AI errors and failures by 70%.
Hemant Lamba, CEO of Inetum Solutions, states, "AI should empower, not burden. Coborg is pragmatic, powerful, and ready to scale." Bippin Makoond, Global Practice Manager for Data & AI, adds that the platform bridges the gap between AI potential and business reality by aligning AI with strategic objectives, automating data workflows, and promoting adoption.
Coborg is built around five transformation pillars: business (real-impact use cases), IT (governance and compliance), data (trust and growth), time to delivery (rapid, optimized results), and people (training and AI culture).
Key tools include Agentic Factory (enabling low-code/no-code GenAI agent deployment in 4–8 weeks), Chat2Value (transforming dialogues into actionable insights), and Data Lineage Accelerator (tracking and documenting data provenance using multi-LLM technology). Coborg is positioned as a practical, scalable solution for organizations seeking tangible AI-driven results.
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