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Macoev at the AI Impact Expo 2026 in New Delhi

Macoev will attend the India AI Impact Expo 2026 in New Delhi as part of the Italian Pavilion, selected in collaboration with ITA/ICE to present its latest products.

Steve Luccisano Avatar
Steve Luccisano
February 9, 2026

New Delhi is set to host the India AI Impact Expo 2026, scheduled from 16 to 20 February at Bharat Mandapam, an international event focused on the industrial and societal applications of artificial intelligence.

Among the Italian organizations taking part, Macoev will exhibit within the Italian Pavilion, thanks to its collaboration with ITA/ICE – the Italian Trade Agency, as part of Italy’s institutional presence at the expo.

For the company, this marks a strategic milestone: it will be Macoev’s first time in India, with the goal of presenting its latest proprietary solutions to an international audience and engaging directly with industrial, institutional, and technology stakeholders across the Asian market. In particular, Macoev will showcase IoC+, one of its new AI-based products, designed to address concrete innovation and adoption needs in real-world contexts, with a strong focus on measurable outcomes.

Macoev’s participation in the Italian Pavilion takes place within a large-scale exhibition environment featuring multiple halls, networking activities, and B2B meetings, with a strong emphasis on demonstrations and technology showcases.

With its presence in New Delhi, Macoev aims to strengthen its international positioning and promote solutions that are ready to deploy, along with high-impact innovation projects aligned with the growing demand for applied AI across processes, services, and digital transformation initiatives.


Steve Luccisano

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2026 Project Title: AI4Quality (AI4Q)
The AI 4 Quality project aims to revolutionize the field of surveys through the adoption of advanced AI technologies for the analysis and extrapolation of data from multiple and varied sources, for the creation and management of surveys, performance analysis, and data collection.

This project was funded by the PR FESR 2021-2027 Research and Development for Businesses.