Black Box Limited and AIONOS have announced a strategic alliance aimed at helping enterprises accelerate AI transformation, from infrastructure development to business-focused outcomes.
The partnership will be guided by CP Gurnani and Sanjeev Verma as the two companies work to expand the alliance globally and support organizations in adopting artificial intelligence across their operations.
Alliance Combines Infrastructure Expertise With AI Capabilities
Under the collaboration, Black Box will contribute its expertise in digital infrastructure, including data centers, network connectivity, modern workplace solutions, and managed services. AIONOS will bring its AI platforms and domain-focused solutions to help organizations build, deploy, and manage AI initiatives.
The companies stated that the alliance is designed to enable enterprises to adopt AI while maintaining security and resilience across infrastructure and application layers.
Focus on India, North America, EMEA, and APAC
The two organizations will jointly develop industry-focused solutions and pursue go-to-market opportunities across India, North America, EMEA, and APAC.
In India, a major area of focus will be the growing Global Capability Centre (GCC) ecosystem. The alliance aims to support GCCs in building AI-ready infrastructure, deploying enterprise-grade AI solutions, and creating scalable operations that integrate with their global parent organizations.
End-to-End Approach to Enterprise AI Adoption
According to the companies, the alliance will provide enterprises with a unified approach to AI adoption across the technology stack. This includes digital infrastructure, operational technology (OT), IoT connectivity, and industry-specific AI solutions.
The partnership is intended to deliver AI implementations with security, governance, and resilience integrated into every layer while supporting enterprise transformation initiatives.
Focus on Business Outcomes
Black Box and AIONOS stated that every engagement under the alliance will be centered on measurable business outcomes. These include productivity improvements, cost optimization, revenue growth, and competitive differentiation.
Through the partnership, the companies aim to offer enterprises a single end-to-end alliance capable of supporting AI transformation from infrastructure deployment through to business application and operational execution.
Leadership Quotes
CP Gurnani, Co-Founder & Vice Chairman, AIONOS said, “India is at an extraordinary inflection point. We are not just consuming AI, we are building it, exporting it, and setting the agenda for how the world deploys intelligent technology at scale. This alliance between AIONOS and Black Box is a direct expression of that belief. Black Box brings the digital infrastructure engine spanning data centers, enterprise networks, and IoT across 35+ countries, and together we cover the entire journey from the physical layer to the AI application layer.”
“AI transformation begins with a strong digital foundation, and Black Box enables that foundation through mission-critical infrastructure, connectivity, and managed services that power enterprise operations worldwide. Combined with AIONOS’s applied AI platforms and domain expertise, we can help organizations move from AI ambition to AI at scale, connecting infrastructure, operations, and intelligence to create measurable business value.” said, Sanjeev Verma, President & CEO, Black Box.
“Enterprises do not need more AI ambition. They need a partner who can make AI real across their entire business. That is exactly what this alliance is built for. AIONOS brings the AI platform, data capabilities and vertical intelligence. Black Box brings the global infrastructure and delivery scale. Together, we give enterprises a single, accountable partnership that owns the transformation journey, from infrastructure to intelligence, from strategy to outcomes.”, concluded, Simmi Dhamija, Chief Operating Officer, AIONOS.
Also read – Inetum Launches Inetum India With AIONOS Partnership to Strengthen Global Delivery Capabilities
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