Gurugram, Saint-Ouen France, May 27: Inetum, a European digital services company, announces the launch of Inetum India, a strategic initiative powered by AIONOS, an AI-native technology leader in India. This initiative aims to strengthen Inetum’s delivery capabilities, particularly in the EUROMED region (France, Belgium), Growing Markets one (Bulgaria, Poland and UKI) and to support its international growth trajectory.
Jacques Pommeraud, Chairman and CEO of Inetum, commented:
“With this project, we are building much more than offshore capacity: we are laying the foundations of a new growth accelerator for Inetum. By leveraging AIONOS to structure and rapidly scale Inetum India, we are choosing a demanding model: a capability center designed from the outset to integrate artificial intelligence at the core of delivery. Our ambition is clear: to deliver more value, faster, to our clients.”
“We are proud to be Inetum’s exclusive partner in establishing Inetum India, and the mandate reflects exactly the kind of engagement AIONOS was built for,” said CP Gurnani, Co-Founder & Vice Chairman, AIONOS. “We are bringing our full AI-native capability that includes our people, our technology stack, and our delivery IP; to architect a centre that operates with intelligence embedded at its core. Built on strong foundations of operational continuity, progressive capacity ramp-up, and close team integration, Inetum India is designed from the grounds up to be a global, scalable, AI-powered delivery engine that will serve Inetum’s clients with a level of speed and precision that traditional models simply cannot match.”
A growth lever serving international markets
Inetum India aims to:
- Expand Inetum’s delivery capabilities to support growth across Inetum EUROMED and Growing Markets.
- Enhance competitiveness and the ability to address large-scale global programs,
- Access top-tier technology talent, particularly in artificial intelligence,
- Support business development through increased scalability.
Designed to serve as a key driver of growth, this model enables Inetum to align business development with delivery capacity: the more new contracts the Group wins, the better equipped it is to handle and grow them through its entity in India.
Hemant LAMBA, CEO of Inetum Solutions added:
“The Inetum India initiative is a strategic milestone that strengthens our Inetum Solutions capabilities at scale and reinforce our COBORGTM framework initiative. With this unique model that combines the best AI and technical expertise, local agility, and client proximity, we are accelerating our ability to deliver high-value, end-to-end solutions to our clients worldwide.”
A differentiated “AI-first” model
At the heart of Inetum India is AIONOS’ proprietary AI enterprise stack – a fully integrated, enterprise-governed technology architecture built specifically for organizations that need AI to work at scale, not just in pilots.
AIONOS brings to this engagement its full AI-native delivery model, spanning agentic workflows, intelligent operations, and human-in-the-loop governance; ensuring that AI is not a feature layered onto delivery, but the operating foundation on which Inetum India is built. Every team, every process, and every workflow is designed to scale with intelligence.
Arjun Nagalupally, Chief Technology Officer of AIONOS, explained:
“We believe a successful AI implementation requires the right alignment of processes, people, and technology, especially in the complex enterprise ecosystem. AIONOS has deep, practitioner-level AI platforms & industry specific solutions. We drive execution by agentic workflows that enable decisions, and compound value over time; this is what traditional implementation partners are only beginning to understand. For a company of Inetum’s scale and ambition, this distinction is everything.”
Concretely, Inetum India will bring together high-performing offshore teams and will integrate the employees already present locally, building on the existing presence.
This positioning allows Inetum to differentiate itself from traditional offshore models by building a hybrid approach based on the optimal balance between AI and human delivery.
